Security_Metrics.md
July 1, 2026 ยท View on GitHub
๐ Hack23 AB โ Security Metrics Dashboard
Live Security Posture Through Transparent Measurement
OpenSSF Scorecard โข GitHub Advanced Security โข AWS Security Services
๐ Document Owner: CEO | ๐ Version: 3.8 | ๐
Last Updated: 2026-07-01 (UTC)
๐ Review Cycle: Monthly | โฐ Next Review: 2026-08-01
๐ฏ Purpose Statement
Hack23 AB's security metrics embody our core principle: ๐ transparency creates trust and demonstrates expertise. Every metric displayed publicly serves as both operational monitoring and marketing demonstration of our cybersecurity consulting capabilities.
Our comprehensive metrics framework integrates OpenSSF Scorecard best practices, GitHub Advanced Security insights, and AWS security services to provide real-time visibility into our security posture. This transparency showcases our ๐ competitive advantage through measurable security excellence while enabling ๐ก innovation enablement through data-driven security decisions.
By maintaining ๐ live security dashboards with ๐ public accountability, we demonstrate the very DevSecOps excellence we deliver to our consulting clients.
โ James Pether Sรถrling, CEO/Founder
๐ Phase 1 Foundation Excellence โ Achievement Summary (2025)
Completion Status: โ Phase 1 core milestones achieved (November 2025) with OpenSSF scorecard baseline established for Phase 2 improvement
Strategic Context: Phase 1 (Q3-Q4 2025) established industry-leading ISMS foundation and public transparency, setting the stage for Phase 2 security maturity advancements in 2026.
๐ Phase 1 Achievement Table
| Metric | Target (2025) | Actual (Dec 2025) | Variance | Status | Evidence |
|---|---|---|---|---|---|
| OpenSSF Scorecard (Avg) | >8.5 | See live badges below | โ | ๐ก Solid Foundation | |
| CII Best Practices | Gold/Passing | Achieved | 100% | โ Achieved | CIA: Gold, CM: Passing, BT: Passing, EP MCP: Passing, EPM: Passing, RM: Passing |
| Critical Vulnerabilities >7d | 0 | 0 | 100% | โ Maintained | Dependabot Monitoring |
| ISMS Documentation | 100% | 100% (70% public) | 100% | โ Achieved | Public ISMS Repository |
| Evidence Freshness | <30 days | 15 days avg | 200% fresher | โ Exceeded | Git commit history |
| Control Coverage | >90% | 95% | 105.6% | โ Exceeded | Compliance Checklist |
| Automation Coverage | 70% | 85% | 121.4% | โ Exceeded | CI/CD Pipelines, AWS Config |
| Zero Critical Incidents | Target | Zero | 100% | โ Achieved | Incident Response Plan tracking |
| Availability | >99.5% | 99.8% | 100.3% | โ Exceeded | CloudWatch Metrics |
Note on OpenSSF Scorecard: Phase 1 established a solid foundation for Phase 2 improvement to >9.0 by Q2 2026. Gap primarily attributed to branch protection settings, dependency update automation optimization, and binary artifacts in releases requiring SLSA provenance enhancement. See live scorecard data for current values.
๐ฏ Key Success Factors
- ๐๏ธ Focused Investment: 750 hours in Q3-Q4 2025 created permanent competitive advantage
- ๐ค Automation-First: 85% automation enables sustainable lean operations
- ๐ Transparency: 70% public ISMS attracts clients and demonstrates expertise
- ๐ Evidence-Based: Real-time metrics drive data-driven improvements
- ๐ฏ Classification-Driven: Classification Framework enabled risk-based resource allocation
- ๐ก๏ธ DevSecOps Integration: Comprehensive security pipeline prevents security debt
๐ Historical Metrics Progression (Q2-Q4 2025)
| Metric | Q2 2025 (Jun) | Q3 2025 (Sep) | Q4 2025 (Dec) | Change |
|---|---|---|---|---|
| OpenSSF Scorecard (Avg) | N/A | Baseline | See live badges | โฌ๏ธ Improving |
| ISMS Documentation % | 0% | 60% | 100% | โฌ๏ธ +100% |
| Critical Vulnerabilities | - | 2 | 0 | โฌ๏ธ -100% |
| Automation Coverage | 40% | 70% | 85% | โฌ๏ธ +45% |
| Control Documentation | 0% | 80% | 95% | โฌ๏ธ +95% |
| Evidence Freshness (days) | - | 25 | 15 | โฌ๏ธ +40% |
Key Insights: Phase 2 targets (+1.07 OpenSSF points to >9.0, +20% evidence automation to 95%) are achievable based on Q3-Q4 velocity.
๐ Evidence Validation (Last Updated: 2026-07-01)
| Metric | Value | Evidence | Frequency | Automation |
|---|---|---|---|---|
| OpenSSF Scorecard | 7.5 avg (9 active repos) โ see July 2026 snapshot | scorecard.dev | Weekly | โ Automated |
| CII Best Practices | Gold (CIA) + 5 Passing | CII Portal | Monthly | โ ๏ธ Manual |
| Critical Vulnerabilities | 0 critical open (all repos); Dependabot backlog cleared โ OpenSSF Vulnerabilities check recovered to 10/10 on all 9 active repos (was 6.2 avg in June) | Dependabot | Daily | โ Automated |
| Control Coverage | 95% | Compliance Checklist | Quarterly | โ ๏ธ Manual |
| Automation Coverage | 85% | Segregation of Duties (SoD) Policy | Quarterly | โ ๏ธ Manual |
| Availability | 99.8% | CloudWatch | Continuous | โ Automated |
Phase 2 Automation Opportunities: CII API integration, automated control validation scripts, self-assessment tooling.
๐ก July 2026 Live Scorecard Snapshot (2026-07-01)
Monthly review checkpoint capturing current OpenSSF Scorecard, release cadence, and activity across all 11 Hack23 repositories tracked (9 active products scored by OpenSSF + 1 docs-only ISMS-PUBLIC mirror + 1 archived Sonar-CloudFormation-Plugin shown for completeness). All subsequent averages, aggregates, and remediation targets in this section are computed over the 9 active repos only. Data pulled directly from api.securityscorecards.dev and GitHub REST API as of 2026-07-01 (UTC); OpenSSF scans dated 2026-06-30 except Lambda-VPC (2026-04-30) and Homepage (2025-12-16) where the weekly workflow has not refreshed.
๐ Repository topology note: The internal
Hack23/ISMSrepo (private โ governance, asset register, supplier records, business strategy) is mirrored to the publicHack23/ISMS-PUBLICrepo (47 stars) for transparency. Both are documentation-only and excluded from OpenSSF scoring aggregates.
๐ OpenSSF Scorecard โ All Hack23 Repositories
The table below lists all 11 tracked Hack23 repositories (9 scored active products + ISMS-PUBLIC docs-only + archived Sonar-CloudFormation-Plugin). The ISMS-PUBLIC and archived rows are shown for completeness and are excluded from every aggregate, average, and remediation target computed in this section.
| # | Project | Score | Trend vs. June 2026 | Scorecard Date | Latest Release | CII Level |
|---|---|---|---|---|---|---|
| 1 | ๐ CIA Compliance Manager | 8.0 | ๐ข +0.5 โฌ๏ธ | 2026-06-30 | v1.1.100 | โ Passing (#10365) |
| 2 | ๐๏ธ CIA (Citizen Intelligence Agency) | 7.9 | ๐ข Stable | 2026-06-30 | 2026.6.30 | ๐ฅ Gold (#770) |
| 3 | ๐ก Lambda in Private VPC | 7.6 | ๐ข Stable (stale scan) | 2026-04-30 | v0.0.24 | โช Not enrolled |
| 4 | ๐ณ๏ธ Riksdagsmonitor | 7.4 | ๐ข +0.6 โฌ๏ธ | 2026-06-30 | v1.0.26 | โ Passing (#12069) |
| 5 | ๐ฎ Black Trigram | 7.3 | ๐ข +0.7 โฌ๏ธ | 2026-06-30 | v0.7.75 | โ Passing (#10777) |
| 6 | ๐ช๐บ European Parliament MCP Server | 7.3 | ๐ข +0.5 โฌ๏ธ | 2026-06-30 | v1.3.32 | โ Passing (#12067) |
| 7 | ๐ช๐บ EU Parliament Monitor | 7.3 | ๐ข Stable | 2026-06-30 | v1.0.23 | โ Passing (#12068) |
| 8 | ๐ Homepage | 7.2 | ๐ก Stale scan (2025-12-16) | 2025-12-16 | v1.0.24 | โช Not enrolled |
| 9 | ๐ฎ Game Template | 7.2 | ๐ข +0.2 โฌ๏ธ | 2026-06-30 | v1.2.90 | โช Not enrolled |
| โ | ๐ ISMS-PUBLIC (docs-only โ not scored, 47โ ) | N/A | โ | โ | โ | โช Not applicable |
| โ | ๐ง Sonar-CloudFormation-Plugin โ ๏ธ (archived โ read-only) | Archived | โ | โ | Archived | โ Passing (#4545) |
๐ Aggregate (rows 1โ9 only, excludes ISMS-PUBLIC and archived): Average 7.5 ยท Min 7.2 ยท Max 8.0 ยท Phase 2 target โฅ 9.0 avg, โฅ8.8 min.
๐ Headline movement: The portfolio-wide Vulnerabilities-check regression has fully recovered โ all 9 active repos now score 10/10 (was 6.2 avg in June), lifting the org average 7.2 โ 7.5 (+0.3). The late-May/June npm dev-dependency advisory sweep (qs, serialize-javascript, uuid, undici, vite, js-yaml, ip-address, @babel/core) was cleared by batch-merging the Dependabot backlog across every JS/TS repo. CIA Compliance Manager is the new portfolio leader at 8.0 (+0.5) with its Vulnerabilities check restored 3 โ 10. Black Trigram was the top mover (+0.7 โ 7.3) (Vulnerabilities 1 โ 10), followed by Riksdagsmonitor (+0.6 โ 7.4) (2 โ 10) and EP-MCP (+0.5 โ 7.3) (3 โ 10). CIA held steady at 7.9 (clean Vulnerabilities check throughout; CII-Best-Practices check still reads 5 despite its Gold badge, capping further gains). The new portfolio floor is 7.2 (Homepage โ stale 2025-12-16 scan โ and Game Template). With Vulnerabilities resolved, Token-Permissions (avg 3.0) and Branch-Protection (avg 2.9) are now the dominant remaining blockers to the โฅ9.0 target.
๐ฌ Per-Check Gap Analysis (average across 9 active repos)
| OpenSSF Check | Avg Score | Status | Primary Blocker | Phase 2 Remediation |
|---|---|---|---|---|
| Maintained | 10 | โ Perfect | All 9 repos score 10 | Sustain โฅ1 commit/week cadence |
| CI-Tests | 10 | โ Perfect | โ | Maintain CI workflow coverage |
| Dependency-Update-Tool | 10 | โ Perfect | โ | Maintain Dependabot coverage |
| Dangerous-Workflow | 10 | โ Perfect | โ | Maintain pinned + least-privilege workflows |
| Security-Policy | 10 | โ Perfect | โ | Keep SECURITY.md current per Secure Development Policy |
| Signed-Releases | 10 | โ Perfect (where applicable) | Lambda-VPC & Homepage -1 (N/A โ releases exist, but signed-release provenance is not yet verified) | Maintain cosign/SLSA provenance |
| Vulnerabilities | 10 | โ Recovered | Full recovery from 6.2 avg (June) โ all 9 repos now 10 after clearing the npm dev-dependency Dependabot backlog | Sustain 0-alert posture via Dependabot auto-merge per Vulnerability Management Policy |
| Packaging | 10 (where measured) | โ Strong | Several repos -1 (N/A) | No action; correct for doc/site repos |
| Binary-Artifacts | 9.9 | ๐ข Strong | CIA @ 9 | Remove remaining binaries from CIA release assets |
| SAST | 9.8 | ๐ข Strong | EPM & RM @ 9 | Expand SonarCloud + CodeQL coverage |
| License | 8.9 | ๐ข Strong | Game repo missing SPDX header (scored 0) | Add SPDX to Game LICENSE |
| Pinned-Dependencies | 8.6 | ๐ก Improving | Transitive action SHAs (most repos @ 8โ9; Lambda-VPC @ 10) | Pin all GHAs to SHA org-wide |
| Contributors | 7.8 | ๐ก Fair | Solo maintainer; 4 repos scored 6 (< 2 orgs) | Invite community contributors in Q3 2026 |
| CII-Best-Practices | 3.3 | ๐ก Gap | 3 repos @ 0 (Homepage, Game, Lambda-VPC not enrolled); 6 enrolled @ 5 (incl. CIA, whose check reads 5 despite Gold badge) | Enrol remaining 3 repos + drive enrolled repos 5 โ 10 by Q3 2026 |
| Token-Permissions | 3.0 | ๐ด Top Gap | 6 of 9 repos score 0 (BT, EP-MCP, EPM, RM, Homepage, Lambda-VPC โ default write-all inherited). CIA, CM & Game now at 9 โ
| Q3 2026 priority: org-wide permissions: read-all default + per-job minimal scopes |
| Branch-Protection | 2.9 | ๐ด Top Gap | Solo maintainer โ admin bypass inflates risk (Homepage -1 / N/A excluded). CIA & Lambda-VPC @ 4 โ
; Game @ 0 | Replicate CIA model org-wide: required reviews, signed commits, linear history |
| Code-Review | 0.0 | ๐ด Structural | Solo-maintainer model โ all 9 repos @ 0 | Document compensating controls in Segregation of Duties Policy; formalise AI-agent + temporal-separation review |
| Fuzzing | 0 | ๐ด Structural | Not yet implemented | Q3 2026: OSS-Fuzz enrolment for CIA (Java) + libFuzzer for EP-MCP |
๐จ Top 3 Organization-Wide Actions (Q3 2026)
- ๐ด Token-Permissions hardening (new top priority) โ Enforce
permissions: read-allorg default + per-jobpermissions:blocks on the 6 repos scoring0(BT, EP-MCP, EPM, RM, Homepage, Lambda-VPC). CIA, CM & Game prove the pattern at 9. Expected lift: +1.7 pts avg score. Track per Secure Development Policy. - ๐ด Branch-Protection uplift โ replicate the CIA pattern โ CIA & Lambda-VPC at 4 โ . Apply CODEOWNERS review + signed commits + linear history to the 6 remaining active repos (and lift Game from 0). Expected lift: +0.4 pts avg score.
- ๐ก CII-Best-Practices closure โ Enrol the 3 unenrolled repos (Homepage, Game, Lambda-VPC) and drive the 6 enrolled repos from
5โ10. Re-validate the CIA Gold submission so its check reads10(not5), unlocking CIA's path above 8.0. Expected lift: +1.5 pts avg CII check.
โ
Recovery win: All 9 active repos restored their Vulnerabilities check to 10/10 (portfolio avg 6.2 โ 10.0) after batch-merging the npm dev-dependency Dependabot backlog โ Black Trigram (1 โ 10), Riksdagsmonitor (2 โ 10), CM & EP-MCP (3 โ 10). This recovered the June regression and lifted the org average 7.2 โ 7.5. Watch item: CIA's CII-Best-Practices check still reads 5 despite its Gold badge; re-validate the CII submission to restore the check to 10.
๐ Phase 2 Milestone Status (as of 2026-07-01)
| Phase 2 Q1โQ2 Target | Current | Status | Notes |
|---|---|---|---|
| OpenSSF โฅ 8.5 avg by end Q2 | 7.5 avg (CM highest @ 8.0) | ๐ด Missed Q2 | Vulnerabilities recovered (+0.3); Token-Permissions + Branch-Protection now the blockers โ rolled to Q3 |
| Branch protection enforcement | CIA & Lambda-VPC at 4 โ ; 7 repos pending | ๐ก In Progress | Replicate CIA pattern across remaining repos |
| Evidence automation โฅ 85% | ~82% | ๐ก On track | CII + control-coverage remain manual |
| MTTD < 6 min | ~7 min avg | ๐ก Close | GuardDuty + CloudWatch tuning continuing |
| OWASP LLM coverage โฅ 70% | 56% | ๐ก On track | Policy expansion per OWASP LLM Security Policy |
| Vulnerability SLA 100% critical < 3 days | 100% (0 critical open; backlog cleared) | โ Met | Dependabot auto-merge pipeline; Vulnerabilities check restored to 10/10 org-wide |
๐ฏ Revised Q3 2026 exit criteria: Reach OpenSSF avg โฅ 8.5 by 2026-09-30 via the three org-wide actions above โ Token-Permissions hardening is now the largest single lever; sustain the recovered 0-alert Vulnerabilities posture, 100% signed releases, and 99.8%+ availability.
๐ค AI Agent Contribution Metrics (Q4 2025)
Agent Ecosystem Maturity: โ Curator + 10 specialist agents operational per AI Policy and Information Security Strategy
๐ Automation Impact Analysis
AI agents have transformed ISMS operations from labor-intensive manual processes to streamlined, data-driven workflows with measurable time savings and improved consistency.
| Metric | Before AI Agents (Q2 2025) | After AI Agents (Q4 2025) | Improvement | Time Saved/Week |
|---|---|---|---|---|
| ISMS Documentation Maintenance | 8 hours/week (manual updates) | 3 hours/week (automated triage + CEO review) | 62% reduction | 5 hours |
| Issue Creation & Triage | 2-4 hours (manual analysis) | 15 minutes (automated with CEO approval) | 88% reduction | ~3.5 hours |
| Vulnerability Triage | 4 hours/week (manual review) | 1 hour/week (AI-assisted prioritization) | 75% reduction | 3 hours |
| Policy Cross-Reference Validation | 3 hours/quarter (manual checking) | 5 minutes/quarter (automated link validation) | 97% reduction | ~3 hours/quarter |
| Compliance Evidence Collection | 6 hours/quarter (manual aggregation) | Automated (GitHub Actions) | ~100% reduction | ~6 hours/quarter |
๐ Total Time Savings: Approximately 12-15 hours per week enabling strategic focus over operational overhead
๐ฐ Value Impact: At CEO opportunity cost of 1,500 SEK/hour, AI automation delivers 18,000-22,500 SEK/week (0.94-1.17M SEK/year) in productivity gains, enabling focus on high-value consulting and strategic planning activities
๐ฏ Agent-Generated Issue Metrics
Tracking the evolution from manual issue creation to AI-driven ISMS improvement workflow:
| Quarter | Manual Issues Created | Agent-Generated Issues | Agent Contribution % | Quality Score (CEO Rating) |
|---|---|---|---|---|
| Q2 2025 | 10 | 0 | 0% | N/A (pre-agent baseline) |
| Q3 2025 | 8 | 5 | 38% | 3.8/5 (learning phase) |
| Q4 2025 | 3 | 12 | 80% | 4.5/5 (mature operation) |
Trend Analysis:
- ๐ Issue Creation Velocity: 80% of ISMS improvements now AI-driven with CEO oversight
- โจ Quality Improvement: Agent issue quality increased from 3.8/5 to 4.5/5 showing learning curve
- โก CEO Efficiency: Manual issue creation reduced 70% (10โ3 per quarter) freeing strategic time
๐ Phase 2 AI Agent Targets (2026)
Building on Q4 2025 success, Phase 2 aims to optimize agent operations and expand automation coverage:
| Target Area | Current (Q4 2025) | Phase 2 Target (2026) | Success Metric |
|---|---|---|---|
| Curator-Agent Optimization | 3 hours/week maintenance | 2 hours/week (30% reduction) | Streamlined agent coordination |
| Automated Issue Creation | 80% agent-generated | 90% agent-generated | CEO focus on strategic validation |
| Vulnerability Triage Accuracy | ~85% triage accuracy | >95% AI triage accuracy | Human validation overhead reduced |
| Policy Update Automation | Manual policy updates | 50% draft-automated | Agents propose policy improvements |
| Evidence Automation Rate | 75% (current baseline) | 95% (Phase 2 target) | Near-complete automation |
| Agent Learning Effectiveness | Issue quality 4.5/5 | Issue quality >4.7/5 | Continuous improvement |
Strategic Value:
- ๐ฏ CEO Time Liberation: Additional 5-8 hours/week for client engagement and strategic planning
- ๐ Continuous Improvement: Agents proactively identify ISMS gaps and improvement opportunities
- ๐ Data-Driven Decisions: Real-time metrics enable evidence-based resource allocation
- ๐ Competitive Advantage: Automated ISMS operations demonstrate advanced security maturity
Integration with Security Metrics:
- AI agent performance metrics tracked in ISMS Metrics Dashboard
- Agent issue quality feeds into Pentagon framework quality dimension
- Automation coverage directly impacts operational efficiency KPIs
๐ Lessons Learned from Phase 1 (2025)
๐ฏ What Worked Well
| Success Area | Application to Phase 2 |
|---|---|
| ๐๏ธ Foundation-First | Continue strategic security infrastructure investment |
| ๐ค Automation Priority | Target 90%+ automation through AI agent optimization |
| ๐ Radical Transparency | Maintain transparency with multi-region expansion |
| ๐ Evidence-Based Management | Expand metrics to <5min MTTD, 95% evidence automation |
| ๐ท๏ธ Classification Framework | Apply classification to all Phase 2 initiatives |
| ๐ก๏ธ DevSecOps Integration | Extend to DAST automation and shift-left testing |
Detailed key learnings for each success area are documented in the Phase 1 retrospective (internal ISMS documentation).
โ ๏ธ Challenges & Mitigation Strategies
| Challenge | Mitigation | Future Prevention |
|---|---|---|
| OpenSSF Target | Solid Phase 2 foundation | Q1 2026: branch protection, signed commits, SLSA |
| Time Investment (750h, 900K SEK) | Strategic long-term advantage | AI agents reduce Phase 2 to <3h/week |
| Manual Evidence (25% vs 95% target) | GitHub Actions automation | Automate remaining controls Q1-Q2 2026 |
| Single-Person Bottleneck | Temporal separation + validation | Expand agent autonomy with guardrails |
| Scope Creep Risk | Classification-driven prioritization | Continue risk-based approach |
๐ก Strategic Insights
- OpenSSF Complexity โ Some checks require GitHub org-level settings โ Q1 2026 systematic org-wide policy enforcement
- Automation Diminishing Returns โ Last 5% evidence automation may not justify effort โ Target pragmatic 95% vs 100%
- AI Agent Learning โ Agent quality improved 3.8โ4.5/5 over Q3-Q4 โ Invest in training for >4.7/5
- Transparency Advantage โ Public ISMS generated 45% increase in security inquiries โ Amplify via conferences
- Classification Efficiency โ Risk-based prioritization prevented wasted effort โ Apply to all Phase 2 initiatives
๐ Performance vs Expectations
| Metric | Target | Actual | Assessment |
|---|---|---|---|
| ISMS Completion | Q4 2025 | โ Q4 2025 | On target |
| OpenSSF Score | >8.5 | ๐ก See badges | Foundation solid for Phase 2 |
| Automation | 70% | โ 85% | Exceeded +15% |
| Evidence Automation | 95% | ๐ก 75% | Phase 2 focus needed |
Overall: Achieved 5/6 objectives. OpenSSF and evidence automation require Phase 2 focus.
๐ Phase 2 Security Maturity Targets (2026)
Phase Duration: January 2026 - December 2026
Strategic Focus: Advanced automation, enhanced monitoring, operational excellence, security recognition
๐ฏ Core Security Objectives
| Category | Phase 1 Baseline (Dec 2025) | Phase 2 Target (2026) | Measurement Method | Priority |
|---|---|---|---|---|
| ๐ OpenSSF Scorecard | See live badges | >9.0 average (all repos >8.8 minimum) | Weekly automated scorecard checks | ๐ด Critical |
| ๐ค Security Automation | 85% coverage | 90% coverage | Automated operations percentage | ๐ High |
| โฑ๏ธ Mean Time to Detect (MTTD) | 8 minutes average | <5 minutes | Critical incident detection time | ๐ด Critical |
| ๐ Evidence Automation | 75% automated | 95% automated | GitHub Actions + CI/CD evidence | ๐ High |
| ๐ Vulnerability SLA | 100% critical <7 days | 100% critical <3 days | Faster remediation targets | ๐ก Medium |
| ๐ค AI Agent Optimization | 80% issue creation | 90% issue creation | Agent-generated improvements | ๐ก Medium |
| ๐ Multi-Region DR | Single region (eu-north-1) | Multi-region (active-passive) | Geographic redundancy | ๐ข Low |
| ๐ LLM Security Coverage | 44% OWASP LLM Top 10 | 100% OWASP LLM Top 10 | Complete policy implementation | ๐ High |
| ๐๏ธ SLSA Provenance | Level 3 (basic) | Level 3+ (enhanced) | Signed releases with full attestation | ๐ก Medium |
| ๐ Branch Protection | Partial enforcement | 100% enforced + signed commits | Organization-wide policy | ๐ด Critical |
๐ 2026 Quarterly Milestones
| Quarter | Key Objectives | Success Metrics |
|---|---|---|
| Q1 | Branch protection enforcement, OpenSSF >8.5, Evidence automation >85%, MTTD <6min | Organization-wide security policy, automated evidence, enhanced monitoring |
| Q2 | OpenSSF >9.0, OWASP LLM 100%, Multi-region DR, Evidence automation 90% | SLSA provenance, complete LLM policy, active-passive DR |
| Q3 | MTTD <5min, 90% automation, Vuln SLA <3 days, AI quality >4.7 | AI-powered detection, enhanced triage, <5min MTTD |
| Q4 | Evidence automation 95%, Industry recognition, Zero trust, ISO 27001 ready | Conference speaking, network segmentation, audit-ready |
Note: For operational clarity in this single-person company context, the accountable owner for all 2026 quarterly milestones and success metrics is the CEO.
๐ฏ Strategic Focus Areas
- Advanced Threat Detection: MTTD 8minโ<5min via AI-powered monitoring, enhanced GuardDuty, automated correlation
- Compliance Automation: 75%โ95% evidence automation via GitHub Actions, AWS Config, continuous monitoring
- Zero Trust Architecture: Network micro-segmentation, identity-based access, continuous verification
- AI-Powered Security: Agent optimization, automated triage, anomaly detection
- Security Excellence Recognition: Conference speaking, industry awards, thought leadership
๐ฐ Investment & ROI
| Investment Area | Effort | Timeline | Expected ROI |
|---|---|---|---|
| OpenSSF Improvement | 80h | Q1-Q2 2026 | Enhanced client trust, competitive differentiation |
| Evidence Automation | 120h | Q1-Q4 2026 | 6h/quarter saved, audit readiness |
| Multi-Region DR | 60h | Q2 2026 | Business continuity, enterprise readiness |
| Zero Trust | 100h | Q3-Q4 2026 | Advanced security posture, compliance |
| AI Agent Optimization | 40h | Q1-Q3 2026 | 5-8h/week CEO time liberation |
Total Phase 2: 400 hours (600K SEK) | Expected Savings: 300h/year operational time + enhanced client acquisition
๐ฏ 2026 Scenarios
| Scenario | Probability | OpenSSF | Evidence Auto | MTTD | Impact |
|---|---|---|---|---|---|
| ๐ก Conservative | 40% | 8.9 | 90% | 6min | Maintains differentiation, steady improvement |
| โ Base Case | 35% | 9.1 | 95% | 5min | Validates model, client consultation reference |
| ๐ Optimistic | 25% | 9.4 | 98% | 3min | Market leadership, premium positioning |
๐ Specific Improvements
OpenSSF Scorecard: All repos targeting >9.0 (fuzzing, CI depth, tests, review, scanning) - see live badges
LLM Security: 44%โ100% | Q1-Q2: Supply chain, prompt injection, output handling, vector security | Q2-Q3: Data poisoning, excessive agency, misinformation
๐ Success Criteria
Phase 2 success requires:
- OpenSSF >9.0 average score
- MTTD <5 min
- โฅ95% evidence collection automated
- โฅ90% security operations automated
- Critical vulnerabilities remediated within <3 days SLA
- Multi-region disaster recovery in place and tested
- 100% coverage of OWASP LLM security controls
- External industry recognition for security posture
- ISO 27001 readiness achieved
- Zero production-impacting security incidents
๐ ISMS Governance Metrics
๐ ISMS Metrics Dashboard provides automated monitoring of our Information Security Management System health:
- ๐ฆ Policy Review Status: Real-time tracking of 32 ISMS documents
- ๐ Review Calendar: Upcoming reviews for proactive planning
- ๐ Document Health Matrix: Complete metadata and compliance alignment
- ๐ Weekly Updates: Automated generation via GitHub Actions
This application-level security metrics document complements the ISMS Metrics Dashboard by focusing on technical security controls, vulnerability management, and OpenSSF Scorecard performance.
๐ค AI Agent-Driven Metrics Collection
Hack23 AB's curated agent ecosystem (per Information Security Strategy) provides real-time metrics collection with automated KPI tracking and threshold monitoring.
๐ Automated KPI Collection Architecture
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flowchart TD
subgraph SOURCES["๐ Metrics Sources"]
OPENSSF["๐๏ธ OpenSSF Scorecard<br/>Supply Chain Security"]
SONAR["๐ SonarCloud<br/>Code Quality"]
GITHUB["๐ GitHub Security<br/>Vulnerabilities & Secrets"]
AWS["โ๏ธ AWS CloudWatch<br/>Infrastructure Metrics"]
FOSSA["๐ FOSSA<br/>License Compliance"]
end
subgraph AGENTS["๐ค Task Agents<br/>Automated Collection"]
SEC_AGENT["๐ก๏ธ Security Architect<br/>Hourly OpenSSF Scan"]
QUAL_AGENT["โจ Code Quality Engineer<br/>Daily SonarCloud Check"]
ISMS_AGENT["๐ ISMS Ninja<br/>Weekly Policy Compliance"]
TEST_AGENT["๐งช Test Specialist<br/>Per-Build Coverage"]
end
subgraph PROCESSING["๐ Metrics Processing"]
PENTAGON["๐ Pentagon Mapping<br/>5-Dimension Classification"]
THRESHOLD{"โ ๏ธ Threshold<br/>Breach Detection"}
end
subgraph OUTPUTS["๐ Outputs"]
DASHBOARD["๐ ISMS Metrics Dashboard<br/>Security_Metrics.md"]
ALERT["๐จ CEO Notification<br/>Escalation Workflow"]
STORE["๐พ Historical Storage<br/>Trend Analysis"]
REMEDIATE["๐ง Automated<br/>Remediation Issues"]
end
OPENSSF --> SEC_AGENT
SONAR --> QUAL_AGENT
GITHUB --> SEC_AGENT
AWS --> SEC_AGENT
FOSSA --> SEC_AGENT
SEC_AGENT --> PENTAGON
QUAL_AGENT --> PENTAGON
ISMS_AGENT --> PENTAGON
TEST_AGENT --> PENTAGON
PENTAGON --> THRESHOLD
THRESHOLD -->|Yes| ALERT
THRESHOLD -->|No| STORE
ALERT --> REMEDIATE
STORE --> DASHBOARD
REMEDIATE --> DASHBOARD
style SOURCES fill:#4CAF50,color:#fff
style AGENTS fill:#1565C0,color:#fff
style PROCESSING fill:#FF9800,color:#fff
style OUTPUTS fill:#7B1FA2,color:#fff
๐ Agent Data Collection Schedule
| Agent Role | Data Sources | Collection Frequency | Output | Dashboard Integration |
|---|---|---|---|---|
| ๐ก๏ธ Security Architect | OpenSSF Scorecard API, GitHub Security, AWS Security Hub | Hourly | Security dimension KPIs | Real-time push |
| โจ Code Quality Engineer | SonarCloud API, Coverage Reports | Daily | Quality dimension KPIs | Daily sync |
| ๐งช Test Specialist | CI/CD Pipeline, Test Reports | Per build | QA dimension KPIs | Immediate push |
| ๐ผ Business Dev Specialist | Deployment Logs, Feature Tracking | Weekly | Functionality dimension KPIs | Weekly report |
| ๐ ISMS Ninja | Policy Review Status, Compliance Checklist | Weekly | ISMS Controls dimension KPIs | Weekly dashboard update |
๐ Integration Points
Agent-to-Dashboard Data Flow:
- ๐ค Push Mechanism: Critical metrics (security alerts, threshold breaches) pushed immediately
- ๐ฅ Pull Mechanism: Standard metrics collected on schedule and synced to dashboard
- ๐ Bidirectional: Dashboard status informs agent prioritization for next collection cycle
Evidence Chain:
- All agent-collected metrics include timestamp, source verification, and audit trail
- Historical data retained for trend analysis (minimum 2 years per ISMS retention policy)
- Evidence links maintained for compliance audit readiness
๐ Pentagon Framework KPI Mapping
Security metrics mapped to the Pentagon dimensions (per Information Security Strategy) for systematic improvement tracking and balanced performance assessment.
๐ Pentagon Dimension Overview
graph TB
subgraph "โญ Pentagon of Importance - Security Metrics"
CENTER["๐ฏ ISMS Alignment<br/>Central Goal"]
SEC["๐ Security<br/>OpenSSF: Live<br/>MTTR: 18h<br/>Incidents: 0"]
QUAL["โจ Quality<br/>SonarCloud: Pass<br/>Coverage: 85%<br/>Tech Debt: 3.2%"]
FUNC["๐ Functionality<br/>Velocity: 4.2/sprint<br/>Deploy Freq: 1.8/wk<br/>Success: 97%"]
QA["๐งช Quality Assurance<br/>Test Success: 97.5%<br/>Automation: 82%<br/>Bug Escape: 1.3%"]
ISMS_DIM["๐ ISMS Controls<br/>Compliance: 95%<br/>Evidence Auto: 75%<br/>Framework: 100%"]
CENTER --- SEC
CENTER --- QUAL
CENTER --- FUNC
CENTER --- QA
CENTER --- ISMS_DIM
end
classDef center fill:#FFC107,stroke:#F57C00,stroke-width:4px,color:#000,font-weight:bold
classDef security fill:#D32F2F,stroke:#B71C1C,stroke-width:3px,color:#fff,font-weight:bold
classDef quality fill:#1976D2,stroke:#0D47A1,stroke-width:3px,color:#fff,font-weight:bold
classDef functionality fill:#388E3C,stroke:#2E7D32,stroke-width:3px,color:#fff,font-weight:bold
classDef qa fill:#7B1FA2,stroke:#4A148C,stroke-width:3px,color:#fff,font-weight:bold
classDef isms fill:#F57C00,stroke:#F57C00,stroke-width:3px,color:#fff,font-weight:bold
class CENTER center
class SEC security
class QUAL quality
class FUNC functionality
class QA qa
class ISMS_DIM isms
๐ Pentagon KPI Matrix
| Dimension | KPI | Target | Current | Agent | Alert |
|---|---|---|---|---|---|
| ๐ Security | OpenSSF Avg | >9.0 | See badges | Security Architect (hourly) | <7.0 |
| ๐ Security | MTTR Critical | <24h | 18h | Security Architect (continuous) | >48h |
| ๐ Security | Security Incidents | 0 | 0 | Security Architect (real-time) | >0 |
| โจ Quality | Quality Gate | Pass | Pass | Code Quality Engineer (daily) | Fail |
| โจ Quality | Coverage | >80% | 85% | Code Quality Engineer (daily) | <70% |
| โจ Quality | Tech Debt | <5% | 3.2% | Code Quality Engineer (weekly) | >10% |
| ๐ Functionality | Velocity | 5/sprint | 4.2/sprint | Business Dev (weekly) | <3 |
| ๐ Functionality | Deploy Freq | 2/week | 1.8/week | Business Dev (weekly) | <1 |
| ๐ Functionality | Success Rate | >95% | 97% | Business Dev (per deploy) | <90% |
| ๐งช QA | Test Success | >98% | 97.5% | Test Specialist (per build) | <95% |
| ๐งช QA | Automation | >80% | 82% | Test Specialist (weekly) | <70% |
| ๐งช QA | Bug Escape | <2% | 1.3% | Test Specialist (monthly) | >5% |
| ๐ ISMS | Policy Compliance | 100% | 95% | ISMS Ninja (weekly) | <90% |
| ๐ ISMS | Evidence Auto | >80% | 75% | ISMS Ninja (weekly) | <60% |
| ๐ ISMS | Framework Align | 100% | 100% | ISMS Ninja (quarterly) | <95% |
Table note: Agent column uses the format Role (collection frequency). Alert column values represent breach thresholds that trigger immediate corrective action and escalation to the accountable owner, including CEO visibility for red conditions in line with the Incident Response Plan.
Composite Pentagon Score: 88.3/100 | 2026 Target: >92/100
Note: The composite score is calculated as a weighted average across all Pentagon dimensions. See Pentagon Dimension Weights section below for detailed weighting methodology.
๐ฏ Pentagon Dimension Weights
Balanced scoring ensures no single dimension dominates improvement priorities:
| Dimension | Weight | Rationale |
|---|---|---|
| ๐ Security | 25% | Core business differentiator and consulting credibility |
| โจ Quality | 20% | Product excellence and maintainability |
| ๐ Functionality | 20% | Business value delivery and market responsiveness |
| ๐งช QA | 15% | Release confidence and customer satisfaction |
| ๐ ISMS Controls | 20% | Compliance readiness and governance maturity |
Composite Pentagon Score: Weighted average across all dimensions
Current Score: 88.3/100 | Target (2026): >92/100
๐ Real-Time Metrics Dashboard Architecture
๐๏ธ ISMS Metrics Dashboard
The ISMS Metrics Dashboard serves as the central metrics dashboard with real-time Pentagon dimension visualization. Note that while the CIA Compliance Manager is an open-source compliance assessment tool, it is NOT used as a centralized evidence dashboard for ISMS operations.
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flowchart LR
subgraph COLLECTION["๐ฅ Data Collection Layer"]
API["๐ API Integrations<br/>OpenSSF, SonarCloud, GitHub"]
AGENTS["๐ค Agent Reports<br/>Automated Collection"]
MANUAL["๐ Manual Entry<br/>Quarterly Assessments"]
end
subgraph PROCESSING["โ๏ธ Processing Layer"]
VALIDATE["โ
Data Validation<br/>Schema Compliance"]
TRANSFORM["๐ Transformation<br/>Pentagon Mapping"]
AGGREGATE["๐ Aggregation<br/>Trend Calculation"]
end
subgraph STORAGE["๐พ Storage Layer"]
CURRENT["๐ Current State<br/>Real-Time Metrics"]
HISTORY["๐ Historical Data<br/>Trend Analysis"]
CACHE["โก Cache Layer<br/>Dashboard Performance"]
end
subgraph PRESENTATION["๐บ Presentation Layer"]
PENTAGON_VIEW["๐ Pentagon View<br/>Dimension Scores"]
TREND_VIEW["๐ Trend Analysis<br/>Historical Graphs"]
ALERT_VIEW["๐จ Alert Summary<br/>Threshold Breaches"]
EVIDENCE_VIEW["๐ Evidence Links<br/>Audit Trail"]
end
API --> VALIDATE
AGENTS --> VALIDATE
MANUAL --> VALIDATE
VALIDATE --> TRANSFORM
TRANSFORM --> AGGREGATE
AGGREGATE --> CURRENT
AGGREGATE --> HISTORY
CURRENT --> CACHE
CACHE --> PENTAGON_VIEW
CACHE --> TREND_VIEW
CACHE --> ALERT_VIEW
HISTORY --> EVIDENCE_VIEW
style COLLECTION fill:#4CAF50,color:#fff
style PROCESSING fill:#1565C0,color:#fff
style STORAGE fill:#FF9800,color:#fff
style PRESENTATION fill:#7B1FA2,color:#fff
๐ Dashboard Views
| View | Purpose | Refresh Frequency | Primary Users |
|---|---|---|---|
| ๐ Pentagon Dimension View | KPIs grouped by Pentagon dimension with radar chart | Real-time (critical), Hourly (standard) | CEO, Auditors |
| ๐ Trend Analysis | Historical graphs showing improvement over time | Daily aggregation | CEO, Planning |
| ๐จ Alert Summary | Real-time threshold breach notifications | Immediate | CEO, Agents |
| ๐ Evidence Links | Automated evidence generation for each metric | Per collection cycle | Auditors, Compliance |
| ๐ฏ Target Tracking | Progress toward Phase 2 2026 targets | Weekly rollup | CEO, Strategy |
๐ Refresh Frequency by Criticality
| Metric Category | Refresh Rate | Justification |
|---|---|---|
| ๐ด Critical Security | Real-time (< 5 min) | Security incidents require immediate visibility |
| ๐ High Priority | Hourly | OpenSSF scores, vulnerability counts affect posture |
| ๐ก Standard Operations | Daily | Code quality, coverage stable over short periods |
| ๐ข Strategic Metrics | Weekly | Policy compliance, framework alignment slower-moving |
๐ฏ Agent Threshold Monitoring & Alerting
๐จ Alert Trigger Framework
Automated threshold monitoring ensures proactive security posture management with escalation to CEO for critical issues.
| Severity | Trigger Conditions | Response Time | Notification Method | Escalation Path |
|---|---|---|---|---|
| ๐ด Critical | OpenSSF <7.0, Critical Vulnerability >7 days, Any Incident | Immediate | CEO SMS + Email + Dashboard Alert | Immediate CEO action |
| ๐ High | Quality Gate Fail, Test Success <95%, Incident Count >0 | <1 hour | CEO Email + Dashboard Summary | CEO daily summary |
| ๐ก Medium | Coverage <75%, Deploy Freq <1/week, Compliance <90% | <24 hours | Dashboard Flag + Weekly Report | CEO weekly review |
| ๐ข Low | Minor threshold breaches (<5% variance) | <1 week | Dashboard tracking only | Agent automated remediation |
๐ Automated Remediation Workflows
Agents automatically create remediation issues for threshold breaches:
%%{
init: {
'theme': 'base',
'themeVariables': {
'primaryColor': '#D32F2F',
'lineColor': '#B71C1C'
}
}
}%%
flowchart TD
DETECT["๐ Threshold Breach<br/>Detected by Agent"] --> CLASSIFY{"๐ท๏ธ Severity<br/>Classification"}
CLASSIFY -->|๐ด Critical| CRITICAL_PATH["โก Critical Path<br/>CEO Immediate Notification"]
CLASSIFY -->|๐ High| HIGH_PATH["๐ง High Path<br/>CEO Daily Summary"]
CLASSIFY -->|๐ก Medium| MEDIUM_PATH["๐ Medium Path<br/>Dashboard Flag"]
CLASSIFY -->|๐ข Low| LOW_PATH["๐ง Low Path<br/>Auto-Remediation"]
CRITICAL_PATH --> CEO_ACTION["๐ CEO Action<br/>Manual Intervention"]
HIGH_PATH --> CEO_REVIEW["๐ CEO Review<br/>Prioritization"]
MEDIUM_PATH --> WEEKLY_REVIEW["๐
Weekly Review<br/>Planning Session"]
LOW_PATH --> AUTO_ISSUE["๐ค Auto-Create Issue<br/>Agent Assignment"]
CEO_ACTION --> RESOLVE["โ
Resolution<br/>Metric Restored"]
CEO_REVIEW --> RESOLVE
WEEKLY_REVIEW --> RESOLVE
AUTO_ISSUE --> SPECIALIST["๐ท Specialist Agent<br/>Implementation"]
SPECIALIST --> RESOLVE
RESOLVE --> VERIFY["๐ Verification<br/>Threshold Check"]
VERIFY -->|Pass| CLOSE["๐ Close Alert<br/>Update Dashboard"]
VERIFY -->|Fail| DETECT
style CRITICAL_PATH fill:#D32F2F,color:#fff
style HIGH_PATH fill:#FF9800,color:#fff
style MEDIUM_PATH fill:#FFC107,color:#000
style LOW_PATH fill:#4CAF50,color:#fff
๐ค Agent-Driven Remediation Actions
| Threshold Breach | Responsible Agent | Automated Action | CEO Involvement |
|---|---|---|---|
| OpenSSF Score <8.0 | Security Architect | Create issues for specific scorecard check improvements | Review proposed improvements |
| Coverage Drop >5% | Test Specialist | Create test coverage improvement PR with target modules | Approve PR merge |
| Quality Gate Fail | Code Quality Engineer | Create tech debt reduction issues with priority ranking | Daily summary review |
| Deployment Freq Low | Business Dev Specialist | Create CI/CD optimization issues | Weekly planning inclusion |
| Policy Compliance <95% | ISMS Ninja | Create policy update issues with gap analysis | Immediate review for critical |
๐ Alerting Metrics
| Metric | Current | Target | Trend |
|---|---|---|---|
| Mean Time to Alert (MTTA) | 8 min | <5 min | ๐ Improving |
| Alert-to-Remediation Time | 18 hours | <12 hours | ๐ Improving |
| False Positive Rate | 5% | <3% | ๐ Improving |
| Auto-Remediation Success | 72% | >85% | ๐ Improving |
๐ Security Metrics Framework
๐ฏ Strategic Security Objectives
Our metrics directly support business value creation:
- ๐ Competitive Advantage: Demonstrable security excellence differentiated from competitors
- ๐ค Customer Trust: Transparent security posture building client confidence
- ๐ฐ Revenue Protection: Operational resilience maintaining service availability
- ๐ Compliance Posture: Regulatory alignment reducing legal and business risk
- โ๏ธ Operational Efficiency: Automated security operations reducing manual overhead
๐ OpenSSF Scorecard Alignment Matrix
๐ Current OpenSSF Performance (2026-07-01)
๐ก For full per-check breakdown, gap analysis, and organization-wide remediation plan see the July 2026 Live Scorecard Snapshot above.
๐ CIA Compliance Manager โ 8.0 / 10 ๐ +0.5 vs June 2026 โ new portfolio leader; Vulnerabilities check recovered 3 โ 10
| Target: 9.5+ | Gap: Code-Review (0), Branch-Protection (3), CII (5), Fuzzing (0); Token-Permissions (9) โ
, Vulnerabilities (10) โ
๐๏ธ Citizen Intelligence Agency โ 7.9 / 10 Stable vs June 2026
| Target: 9.5+ | Gap: Code-Review (0 solo-maintainer), CII-Best-Practices (5 โ re-validate Gold), Fuzzing (0), Binary-Artifacts (9); Branch-Protection (4) โ
, Token-Permissions (9) โ
, Vulnerabilities (10) โ
๐ก Lambda in Private VPC โ 7.6 / 10 Stable (stale scan 2026-04-30)
| Target: 9.0+ | Gap: Token-Permissions (0), CII (0 โ enrol pending), Fuzzing (0); Branch-Protection (4) โ
, Pinned-Dependencies (10) โ
, Vulnerabilities (10) โ
๐ณ๏ธ Riksdagsmonitor โ 7.4 / 10 ๐ +0.6 vs June 2026 โ Vulnerabilities check recovered 2 โ 10
| Target: 9.0+ | Gap: Token-Permissions (0), Branch-Protection (3), SAST (9), CII (5); Vulnerabilities (10) โ
, Contributors (10) โ
๐ฎ Black Trigram โ 7.3 / 10 ๐ +0.7 vs June 2026 โ top mover; Vulnerabilities check recovered 1 โ 10
| Target: 9.5+ | Gap: Token-Permissions (0), Branch-Protection (3), CII (5), Contributors (6); Vulnerabilities (10) โ
๐ช๐บ European Parliament MCP Server โ 7.3 / 10 ๐ +0.5 vs June 2026 โ Vulnerabilities check recovered 3 โ 10
| Target: 9.0+ | Gap: Token-Permissions (0), Branch-Protection (3), CII (5), Contributors (6); Pinned-Dependencies (9) โ
, Vulnerabilities (10) โ
๐ช๐บ EU Parliament Monitor โ 7.3 / 10 Stable vs June 2026
| Target: 9.0+ | Gap: Token-Permissions (0), Branch-Protection (3), SAST (9), Contributors (6); Vulnerabilities (10) โ
๐ Homepage โ 7.2 / 10 โ ๏ธ Scan stale (2025-12-16)
| Target: 9.0+ | Gap: Token-Permissions (0), CII (0), Scorecard workflow needs refresh; Vulnerabilities (10) โ
๐ฎ Game Template โ 7.2 / 10 +0.2 vs June 2026
| Target: 9.0+ | Gap: License (0 โ missing SPDX), Branch-Protection (0), CII (0); Token-Permissions (9) โ
, Vulnerabilities (10) โ
Data source: api.securityscorecards.dev snapshotted 2026-06-30 (Lambda-VPC 2026-04-30, Homepage 2025-12-16) ยท Values refresh weekly ยท For check descriptions see OpenSSF Scorecard Documentation
๐ Vulnerability Management Metrics
โฑ๏ธ SLA Compliance Tracking
Aligned with Vulnerability Management Policy requirements:
| Severity | SLA Target | Current Performance | Trend | Business Impact |
|---|---|---|---|---|
| ๐ด Critical | 24 hours | View live in GitHub Security | โ | ๐ฐ Revenue Protection |
| ๐ High | 7 days | View live in GitHub Security | โ | ๐ก๏ธ Risk Reduction |
| ๐ก Medium | 30 days | View live in GitHub Security | โ | โ๏ธ Operational Efficiency |
| ๐ข Low | 90 days | View live in GitHub Security | โ | ๐ Compliance Posture |
๐ Vulnerability Detection Sources
- ๐ SAST Results: SonarCloud quality gates on every commit
- ๐ฆ SCA Scanning: GitHub Dependabot automated dependency updates
- ๐ Secret Scanning: GitHub secret detection with public repository coverage
- โ๏ธ Infrastructure: AWS Inspector container and EC2 vulnerability assessment
- ๐ Web Application: OWASP ZAP security scanning in CI/CD pipelines
๐ Public Transparency Badges
๐๏ธ Citizen Intelligence Agency
๐ฎ Black Trigram
๐ CIA Compliance Manager
๐ช๐บ European Parliament MCP Server
๐ช๐บ EU Parliament Monitor
๐ณ๏ธ Riksdagsmonitor
๐ง Sonar-CloudFormation-Plugin โ ๏ธ Archived - No Longer Maintained
๐ก Lambda in Private VPC
๐ Homepage
๐ฎ Game
๐ ISMS Repository
๐ GitHub Advanced Security โ Live Dashboards
Note: Requires access to the Hack23 GitHub organization.
๐ Security Overview Dashboards
- ๐๏ธ CIA: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ฎ Black Trigram: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ CIA Compliance Manager: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ช๐บ EP MCP Server: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ช๐บ EU Parliament Monitor: Overview โข Dependabot
- ๐ณ๏ธ Riksdagsmonitor: Overview โข Dependabot
- ๐ฎ Game: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ง Sonar-CloudFormation-Plugin: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ก Lambda in Private VPC: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ Homepage: Overview โข Code Scanning โข Secrets โข Dependabot
- ๐ ISMS: Overview โข Code Scanning โข Secrets โข Dependabot
โ๏ธ AWS Security Services โ Live Consoles
Region: eu-west-1 (switch in console as needed)
๐ก๏ธ Security Service Dashboards
- ๐ก๏ธ Security Hub: Central Dashboard โ Aggregated security findings and compliance status
- ๐งฐ Amazon Inspector: Vulnerability Assessment โ Container and EC2 vulnerability scanning
- ๐ฐ๏ธ Amazon GuardDuty: Threat Detection โ Intelligent threat detection and analysis
- ๐ AWS Config: Compliance Dashboard โ Configuration compliance monitoring
๐ Additional Security Services
- ๐ AWS Secrets Manager: Secret Management โ Credential lifecycle management
- ๐๏ธ AWS KMS: Key Management โ Encryption key administration
- ๐ CloudTrail: Audit Logs โ API activity monitoring
- โ๏ธ CloudWatch: Security Metrics โ Performance and security monitoring
โ Release Security Gates
๐ฆ Automated Quality Gates
Implemented per Secure Development Policy:
๐ GitHub Security Requirements
- ๐ด Critical Block: No Critical code scanning alerts on release branches
- ๐ Secret Protection: No exposed secrets in secret scanning
- ๐ฆ Dependency Safety: No Critical Dependabot security alerts
- ๐๏ธ Quality Standards: SonarCloud Quality Gate must pass
- ๐ Documentation: Security architecture must be updated
โ๏ธ AWS Security Requirements
- ๐ก๏ธ Security Hub: No Critical/High findings in production unless risk-accepted in Risk Register
- ๐งฐ Inspector: No Critical container/EC2 vulnerabilities in active workloads
- ๐ฐ๏ธ GuardDuty: No unresolved High/Critical threat detections
- ๐ Config: All mandatory compliance rules must be compliant
๐ Manual Review Gates
For changes affecting authentication, data handling, or network access:
- ๐ฅ Security-focused code review required per Change Management
- ๐ Risk assessment and Risk Register updates when applicable
- ๐๏ธ Security architecture documentation must reflect changes
๐ Key Performance Indicators (KPIs)
๐ฏ Security Excellence Metrics
| KPI Category | Target | Measurement | Business Value |
|---|---|---|---|
| ๐ OpenSSF Scorecard | 9.5+/10 across all repos | Monthly automated assessment | ๐ค Customer Trust |
| โฑ๏ธ Critical Vuln MTTR | <7 days | GitHub Security tracking | ๐ฐ Revenue Protection |
| ๐ Security Automation | 95%+ automated gates | CI/CD pipeline metrics | โ๏ธ Operational Efficiency |
| ๐ Compliance Coverage | 100% control implementation | Manual quarterly review | ๐ Compliance Posture |
| ๐ก๏ธ Zero Critical Prod | 0 critical issues in prod | Real-time AWS/GitHub monitoring | ๐ก๏ธ Risk Reduction |
| ๐ SoD Control Effectiveness | โฅ95% pass rate | Quarterly validation checklist | ๐ก๏ธ Risk Reduction |
| โ SoD Validation Completion | 100% quarterly | Segregation of Duties Policy | ๐ Compliance Posture |
๐ Trending Metrics
- ๐ Vulnerability Discovery Rate: Early detection through automated scanning
- ๐ฆ Dependency Update Frequency: Proactive supply chain security management
- ๐ Secret Scanning Coverage: Comprehensive credential protection across repositories
- ๐๏ธ Security Badge Status: Public demonstration of security posture maintenance
- ๐ Incident Response Time: Mean time to detection and resolution of security events
๐ Continuous Improvement Framework
๐ Monthly Security Review Process
- ๐ Metrics Collection: Automated gathering of security KPIs and trends
- ๐ Gap Analysis: Identification of areas below target thresholds
- ๐ Action Planning: Prioritized improvement initiatives with business impact assessment
- ๐ค Stakeholder Communication: Transparent reporting to support business decision-making
๐ฏ Annual Security Strategy Review
- ๐ Business Value Assessment: ROI analysis of security investments per Classification Framework
- ๐ฎ Threat Landscape Evolution: Adaptation to emerging security challenges and opportunities
- ๐ฐ Security Investment Prioritization: Budget allocation aligned with business objectives
- ๐ Competitive Positioning: Security capability benchmarking against industry standards
๐ Innovation Integration
- ๐ Emerging Technology Assessment: Security implications of new development tools and platforms
- ๐ฌ Research & Development: Investigation of advanced security techniques and automation
- ๐ค Community Engagement: Contribution to open source security tools and best practices
- ๐ Knowledge Sharing: Publication of security insights and lessons learned
๐ Evidence Key & Methodology
๐ Evidence Types:
๐ Policy/Procedure โ Documented controls and processes
๐ ๏ธ Tool/Automation โ System-generated data and automated monitoring
๐ Live Metrics โ Real-time dashboards with current performance data
โณ Pending Implementation โ Controls requiring additional enablement
๐ฏ Status Categories:
Fully operational with evidence
Functional but incomplete coverage
Not implemented or insufficient
๐ Priority Framework:
Metrics ordered by business impact per ๐ท๏ธ Classification Framework โ Critical controls first, supporting functions second.
๐ Live Dashboard Integration:
GitHub Security Organization Overview provides real-time vulnerability management metrics: Security Dashboard
๐ Comprehensive Metric Taxonomy
๐ด Tier 1: Critical Business Protection Metrics
Direct revenue impact, regulatory compliance, or operational continuity
| ๐๏ธ Domain | ๐ Metric | ๐ฏ Status | ๐ Evidence Source | ๐ผ Business Value |
|---|---|---|---|---|
| ๐ฐ Asset Security | Asset Inventory Accuracy | ๐ Asset Register | Revenue protection through comprehensive asset visibility | |
| ๐ฐ Asset Security | SaaS Dependency Monitoring | ๐ Asset Register ยง SaaS | Cost optimization and vendor concentration risk | |
| ๐ Identity & Access | MFA Coverage | ๐ Access Control ยง MFA | Breach prevention and regulatory compliance | |
| ๐ Change Management | Change Success Rate | ๐ Change Management | Service availability and operational excellence | |
| ๐ Change Management | Emergency Change Ratio | ๐ Change Management | Planned vs reactive operations indicator | |
| ๐พ Backup & Recovery | Backup Success Rate | ๐ Backup Policy | Business continuity and data protection | |
| ๐ Business Continuity | RTO Achievement Rate | ๐ Business Continuity Plan | Service restoration and revenue protection | |
| โ Compliance | Control Implementation Coverage | ๐ Compliance Checklist | Regulatory compliance and audit readiness | |
| ๐ฆ Supply Chain | License Policy Violations | ๐ ๏ธ FOSSA Platform | Legal risk mitigation and IP protection | |
| ๐ Vulnerability Management | Mean Time To Remediate | ๐ GitHub Security Overview | Current: 8 days MTTR with 228 closed alerts | |
| ๐ Vulnerability Management | Alert Resolution Rate | ๐ GitHub Security Overview | Current: 800% net resolve rate |
๐ Tier 2: Operational Excellence Metrics
Service quality, development efficiency, and risk management
| ๐๏ธ Domain | ๐ Metric | ๐ฏ Status | ๐ Evidence Source | ๐ผ Business Value |
|---|---|---|---|---|
| ๐๏ธ Governance | Policy Coverage | ๐ Compliance Checklist | Framework completeness and governance maturity | |
| ๐พ Backup & Recovery | Verified Restore Frequency | ๐ Backup Policy | Recovery confidence and business continuity validation | |
| ๐ Business Continuity | Critical Function Testing | ๐ Business Continuity Plan | Operational resilience verification | |
| ๐ง Development | Build Success Rate | ๐ ๏ธ GitHub Actions / SonarCloud | Development velocity and quality gates | |
| ๐ Privacy & GDPR | Records Processing Completeness | ๐ Asset Register | GDPR compliance and data mapping | |
| ๐ฆ Supply Chain | SBOM Freshness | ๐ Open Source Policy | Supply chain transparency and vulnerability management | |
| ๐ก๏ธ Product Security | CRA Conformity Artifact Freshness | ๐ CRA Process | EU Cyber Resilience Act compliance | |
| ๐ Vulnerability Management | Scanner Coverage Ratio | ๐ GitHub Security Overview | Repository coverage with automated scanning | |
| ๐ Vulnerability Management | Secret Detection Coverage | ๐ GitHub Security Overview | Current: 0 secrets bypassed (100% blocked) |
๐ก Tier 3: Security Enhancement Metrics
Advanced security capabilities and proactive risk management
| ๐๏ธ Domain | ๐ Metric | ๐ฏ Status | ๐ Evidence Source | ๐ผ Business Value |
|---|---|---|---|---|
| ๐๏ธ Governance | Risk Treatment Progress | ๐ Risk Register โณ | Risk management effectiveness and treatment tracking | |
| ๐ Identity & Access | Privileged Session Monitoring | ๐ ๏ธ CloudTrail / GitHub Audit | Advanced threat detection and insider risk | |
| ๐ Identity & Access | Dormant Access Detection | ๐ ๏ธ IdP / SaaS Exports | Access hygiene and attack surface reduction | |
| ๐ง Development | Dependency Aging | ๐ Open Source Policy โณ | Supply chain risk and technical debt management | |
| ๐ง Development | Critical Vulnerability Introduction | ๐ GitHub Security Overview | Alert trends show vulnerability introduction patterns | |
| ๐ Vulnerability Management | Alert Age Optimization | ๐ GitHub Security Overview | Current: 29 days average age needs improvement | |
| ๐ Vulnerability Management | Autofix Adoption Rate | ๐ GitHub Security Overview | Current: 0 autofix usage, opportunity for automation |
๐ต Tier 4: Advanced Monitoring & Intelligence
Comprehensive security operations and strategic capabilities
| ๐๏ธ Domain | ๐ Metric | ๐ฏ Status | ๐ Evidence Source | ๐ผ Business Value |
|---|---|---|---|---|
| ๐ก Monitoring | Log Coverage (Critical Systems) | ๐ ๏ธ CloudWatch Asset Mapping | Security visibility and incident response capability | |
| ๐ก Monitoring | Alert Fidelity (True Positive %) | ๐ Incident Response Plan โณ | SOC efficiency and noise reduction | |
| ๐จ Incident Response | Mean Time To Detection (MTTD) | ๐ Incident Response Plan โณ | Threat response speed and impact minimization | |
| ๐จ Incident Response | Mean Time To Remediation | ๐ Incident Response Plan โณ | Recovery effectiveness and business impact | |
| ๐จ Incident Response | Lessons Learned Adoption | ๐ IR Action Register โณ | Continuous improvement and organizational learning | |
| ๐จ Resilience | Chaos Engineering Experiments | ๐ ๏ธ AWS Fault Injection Service | Resilience validation and failure preparedness | |
| ๐จ Resilience | Resilience Hub Policy Compliance | ๐ ๏ธ AWS Resilience Hub | Infrastructure resilience and disaster recovery |
๐ฃ Tier 5: Strategic & Specialized Metrics
Long-term capability building and specialized compliance
| ๐๏ธ Domain | ๐ Metric | ๐ฏ Status | ๐ Evidence Source | ๐ผ Business Value |
|---|---|---|---|---|
| ๐ค Supplier Management | Tier 1 SLA Compliance | ๐ SUPPLIER โณ | Vendor performance and risk management | |
| ๐ค Supplier Management | Assessment Currency | ๐ Third Party Management โณ | Third-party risk management effectiveness | |
| ๐ค Supplier Management | Critical Supplier Concentration | ๐ Asset Register | Supply chain resilience and dependency risk | |
| ๐ Cryptography | Key Rotation Timeliness | ๐ Cryptography Policy โณ | Cryptographic hygiene and compliance | |
| ๐ Cryptography | Deprecated Cipher Usage | ๐ Network Security Policy โณ | Cryptographic modernization and security | |
| ๐ท๏ธ Data Protection | Classified Data Coverage | ๐ Data Classification Policy โณ | Information governance and protection | |
| ๐ท๏ธ Data Protection | Policy Handling Violations | ๐ ๏ธ Incident Log Integration | Data handling compliance and training effectiveness | |
| ๐ Privacy & GDPR | Breach Assessment Timeliness | ๐ IR Legal Workflow โณ | GDPR compliance and regulatory response | |
| ๐ฆ Supply Chain | Unpinned Dependency Ratio | ๐ ๏ธ Repository Scanning | Supply chain security and reproducible builds | |
| ๐ก๏ธ Product Security | Coordinated Disclosure Response | ๐ Vulnerability Management โณ | Responsible disclosure and security coordination | |
| ๐ฅ Human Security | Role-Based Training Completion | ๐ Training Framework โณ | Security awareness and human risk reduction | |
| ๐ฅ Human Security | Phishing Simulation Performance | ๐ Future Implementation | Social engineering resilience | |
| โ Audit & Compliance | External Review Currency | ๐ Audit Log โณ | Independent validation and compliance assurance | |
| ๐ฐ Cost & Efficiency | Security Tool Utilization | ๐ Asset Register | Investment optimization and capability utilization | |
| ๐ฐ Cost & Efficiency | Prevented Incident Cost | ๐ ๏ธ Risk Correlation Model โณ | Security ROI demonstration and value measurement |
๐ Metric Implementation Priority Matrix
| ๐ฏ Priority | ๐ Business Impact | โฐ Implementation Timeline | ๐ฐ Resource Investment | ๐ Live Data Available |
|---|---|---|---|---|
| ๐ด Tier 1 | Revenue/Compliance Critical | Immediate (0-30 days) | High - Direct business protection | โ GitHub Security Dashboard |
| ๐ Tier 2 | Operational Excellence | Short-term (30-90 days) | Medium - Quality improvement | โ Partial GitHub Integration |
| ๐ก Tier 3 | Security Enhancement | Medium-term (90-180 days) | Medium - Risk reduction | โ ๏ธ Limited Live Data |
| ๐ต Tier 4 | Advanced Monitoring | Long-term (180-365 days) | Low-Medium - Capability building | โ Implementation Required |
| ๐ฃ Tier 5 | Strategic Capabilities | Ongoing (365+ days) | Low - Specialized compliance | โ Implementation Required |
๐ Compliance Monitoring Metrics
Implementation of ISO 27001 A.5.36 (Policy and standard compliance monitoring) with systematic measurement and continuous improvement:
๐ฏ Compliance Monitoring Framework
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flowchart TD
subgraph REQUIREMENTS["๐ Compliance Requirements"]
ISO[ISO 27001:2022<br/>Control Implementation]
NIST[NIST CSF 2.0<br/>Function Alignment]
CIS[CIS Controls v8.1<br/>Safeguard Mapping]
REGULATORY[Regulatory<br/>GDPR, NIS2, CRA]
end
subgraph MONITORING["๐ Continuous Monitoring"]
AUTO[Automated Scanning<br/>Daily/Continuous]
MANUAL[Manual Reviews<br/>Quarterly/Annual]
EVIDENCE[Evidence Collection<br/>Real-time Documentation]
METRICS[KPI Tracking<br/>Performance Measurement]
end
subgraph REPORTING["๐ Compliance Reporting"]
DASHBOARD[Compliance Dashboard<br/>Real-time Status]
GAPS[Gap Analysis<br/>Improvement Planning]
TREND[Trend Analysis<br/>Maturity Tracking]
EXECUTIVE[Executive Reports<br/>Board/Stakeholders]
end
subgraph IMPROVEMENT["๐ Continuous Improvement"]
REMEDIATION[Remediation Actions<br/>Gap Closure]
ENHANCEMENT[Control Enhancement<br/>Maturity Growth]
VALIDATION[Validation Testing<br/>Effectiveness Verification]
LESSONS[Lessons Learned<br/>Knowledge Integration]
end
ISO --> AUTO
NIST --> AUTO
CIS --> AUTO
REGULATORY --> MANUAL
AUTO --> DASHBOARD
MANUAL --> GAPS
EVIDENCE --> TREND
METRICS --> EXECUTIVE
DASHBOARD --> REMEDIATION
GAPS --> ENHANCEMENT
TREND --> VALIDATION
EXECUTIVE --> LESSONS
REMEDIATION --> ISO
ENHANCEMENT --> NIST
VALIDATION --> CIS
LESSONS --> REGULATORY
style REQUIREMENTS fill:#4CAF50
style MONITORING fill:#1565C0
style REPORTING fill:#FF9800
style IMPROVEMENT fill:#7B1FA2
๐ Compliance KPIs and Targets
ISO 27001:2022: 76% coverage (77/102 controls) | Target: 90% by 2026 | Compliance Checklist
| Domain | Coverage | Target | Status |
|---|---|---|---|
| A.5 Organizational | 95% (36/38) | 100% Q2 2026 | ๐ข |
| A.6 People | 13% (1/8) | 75% Q3 2026 | ๐ด |
| A.7 Physical | 100% (5/5 applicable) | 100% | โ |
| A.8 Technological | 80% (28/35) | 90% Q4 2026 | ๐ก |
| A.5.AI Governance | 100% (7/7) | 100% | โ |
NIST CSF 2.0 Function Alignment:
| Function | Maturity | Status |
|---|---|---|
| GOVERN | 75% | ๐ก |
| IDENTIFY | 85% | ๐ข |
| PROTECT | 80% | ๐ก |
| DETECT | 90% | ๐ข |
| RESPOND | 95% | ๐ข |
| RECOVER | 85% | ๐ข |
CIS Controls v8.1: IG1 91% (45/56) โ | IG2 81% (52/74) ๐ก | IG3 65% (85/153) ๐ | Target: 95% IG1, 90% IG2, 75% IG3 by 2026-12-31
๐ Automated Compliance Monitoring
Continuous Scanning: Code security (GitHub, every commit) | Infrastructure (AWS Config, continuous) | Vulnerabilities (Inspector/SonarCloud, daily) | Secrets (GitHub, real-time) | License (FOSSA, every commit) | Security posture (OpenSSF, weekly)
Policy Reviews: All core policies reviewed Q4 2025, next reviews Q1-Q2 2026 per Compliance Checklist
๐ Compliance Metrics Dashboard
| Metric | Current | Target | Status |
|---|---|---|---|
| ISO 27001 Coverage | 76% | 90% | ๐ +5% QoQ |
| OpenSSF Avg | Live | 9.5 | ๐ Improving |
| Vuln MTTR | 8 days | 7 days | ๐ Improving |
| MFA Coverage | 100% | 100% | โ Stable |
| Backup Success | 99.7% | 99.5% | โ Exceeds |
| License Violations | 0 | 0 | โ Compliant |
| Secret Exposure | 0 | 0 | โ All blocked |
| Critical Prod Vulns | 0 | 0 | โ Zero tolerance |
Q4 2025 Trends: Control implementation 60%โ63% | Policy reviews 95%โ100% | Incident response 22minโ18min | Audit findings 85%โ92% closed
๐ฏ Compliance Improvement Roadmap
2026 Q1-Q2 Priorities: Operating procedures (A.5.37), Capacity mgmt (A.8.6), Config baselines (A.8.9), Clock sync (A.8.17), Privileged tools (A.8.18), Software policy (A.8.19)
Maturity Evolution: Q4 2025: 63% Developing | Q1 2026: 70% Developing | Q2 2026: 78% Managed | Q3 2026: 82% Managed | Q4 2026: 85% Optimized (ISO 27001 ready)
๐ Compliance Review Cadence
Reviews: Control status (monthly) | Policy currency (quarterly) | Gap remediation (quarterly) | External audit prep (semi-annual) | Stakeholder reports (quarterly) | Framework alignment (annual)
๐ Compliance Evidence Management
Repository: ISMS policies (public), AWS CloudTrail (3y), GitHub/SonarCloud results, Identity Center logs, Incident records (5y), Training records (5y) | CEO maintains with quarterly backup verification
Risk Integration: Control gapsโrisks | Compliance metricsโrisk treatment validation | Audit findingsโrisk reassessment | Remediationโtreatment actions | Quarterly Risk Register updates
๐ AI Model Evolution โ Security Metrics Perspective (2026โ2037)
Assumptions: AI model upgrades occur multiple times per year (2026 observed: Opus 4.6โ4.7โ4.8, Sonnet 4.6, plus the new Mythos and Fable 5 model families โ seven releases FebruaryโJune, with further Opus 4.9/4.x and model-family updates expected in H2 2026); competitors (OpenAI, Google, Meta, EU sovereign AI) evaluated at each release. Full cross-perspective analysis in Information Security Strategy ยง AI Model Evolution Strategy.
๐ AI-Driven Metrics Evolution Roadmap
| Metrics Domain | 2026โ2027 (Agentic AI) | 2028โ2030 (Autonomous AI) | 2031โ2037 (Pre-AGI/AGI) |
|---|---|---|---|
| Collection | AI-automated badge generation, metric dashboards, agentic evidence gathering | Autonomous cross-repository metric correlation, predictive trend analysis | Self-evolving metric frameworks with autonomous indicator discovery |
| Analysis | AI-assisted KPI interpretation, automated anomaly flagging | Predictive security posture scoring, autonomous root cause analysis | Near-expert autonomous security analytics with strategic recommendations |
| Reporting | AI-generated executive summaries, automated compliance reports | Autonomous multi-audience report generation, predictive stakeholder alerts | Self-maintaining compliance reporting with zero manual intervention |
| Compliance Monitoring | AI-powered gap detection, automated control testing (framework alignment: ISO 27001, NIST CSF, CIS v8.1) | Continuous autonomous compliance monitoring, predictive audit readiness | Self-healing compliance posture with autonomous regulatory adaptation |
๐ AI-Enhanced KPI Targets
| KPI Category | 2026 Target | 2028 Target | 2030 Target | AI Enablement |
|---|---|---|---|---|
| OpenSSF Scorecard | โฅ9.0 average | โฅ9.5 average | โฅ9.8 average | AI-automated dependency management, security testing |
| Vulnerability MTTR | <48 hours (critical) | <24 hours (critical) | <4 hours (critical) | AI-prioritized triage โ autonomous remediation |
| Compliance Coverage | 100% framework alignment | 100% + predictive gap closure | 100% + autonomous regulatory adaptation | AI compliance monitoring โ autonomous evidence generation |
| Incident Response Time | <4 hours detection | <1 hour detection | <15 min detection + response | AI anomaly detection โ autonomous incident containment |
| ISMS Documentation Currency | 95% up-to-date | 99% up-to-date | 100% living documentation | AI-assisted updates โ autonomous document maintenance |
Projected Workflow Growth: Metrics automation workflows scale from 44โ50 (2026) โ 100โ120+ (2034+) definitions. See FUTURE_WORKFLOWS.md for detailed projections.
Governance: Metrics framework evolution governed by annual AI model evaluation cadence per AI Policy ยง AI Model Evolution Evaluation Framework.
๐ Related Documents
๐ฏ Strategic Framework
- ๐ฏ Information Security Strategy โ Pentagon framework, AI-first operations, and strategic roadmap
- ๐ค AI Policy โ AI governance and automation requirements
- ๐ก๏ธ OWASP LLM Security Policy โ LLM-specific security controls
๐ก๏ธ Core Security Framework
- ๐ Information Security Policy โ Overall security governance and AI-First Operations Governance
- ๐ ๏ธ Secure Development Policy โ Security-integrated development lifecycle
- ๐ Vulnerability Management โ Systematic security testing and remediation
- ๐ Cryptography Policy โ Encryption standards and key management
- ๐ Network Security Policy โ Network protection and segmentation
โ๏ธ Operational Integration
- ๐ Change Management โ Controlled modification procedures with security gates
- ๐จ Incident Response Plan โ Security event detection and response
- ๐ป Asset Register โ Information asset inventory and classification
- ๐ Risk Register โ Risk identification, assessment, and treatment tracking
- ๐ ISMS Metrics Dashboard โ Policy health and review tracking
๐ Compliance and Governance
- ๐ท๏ธ Classification Framework โ Business impact and data classification methodology
- ๐ ISMS Transparency Plan โ Public disclosure strategy and implementation
- โ Compliance Checklist โ Multi-framework regulatory requirement tracking
- ๐ค Third Party Management โ Supplier security risk management
- ๐ Supplier Security Posture โ Third-party security assessments
๐ Document Control:
โ
Approved by: James Pether Sรถrling, CEO
๐ค Distribution: Public
๐ท๏ธ Classification:
๐
Effective Date: 2026-07-01
โฐ Next Review: 2026-08-01
๐ฏ Framework Compliance: