🔄 EU Parliament Monitor — Future State Diagrams

🔀 Three-Horizon State Management: Static Build Lifecycle → AWS-Native Serverless Intelligence
🎯 From Deterministic Build States to Event-Driven, Agentic, Self-Healing State Machines (2026-2037)

📋 Document Owner: CEO | 📄 Version: 4.1 | 📅 Last Updated: 2026-05-31 (UTC) | 🚀 Release: v1.0.1
🔄 Review Cycle: Quarterly | ⏰ Next Review: 2026-08-31
🏷️ Classification: Public (Open Source European Parliament Monitoring Platform)

---

📚 Architecture Documentation Map

---

🔐 ISMS Policy Alignment

This future state diagram is designed to implement all controls from Hack23 AB's ISMS framework as the EU Parliament Monitor platform evolves across its three strategic horizons — from the v2.0 enhanced static intelligence lifecycle to the v3.0+ AWS-native serverless state machines.

Related ISMS Policies

Policy Domain	Policy	Planned Implementation
🔐 Core Security	Information Security Policy	Overall security governance framework for state lifecycle
🤖 AI Governance	AI Policy	AI = proposal generator; human-review gate states; no autonomous deploy
🛠️ Development	Secure Development Policy	Security-integrated state machine design and validation
🌐 Network	Network Security Policy	CloudFront edge states, AWS WAF + Shield, rate-limit states
🔒 Cryptography	Cryptography Policy	SLSA provenance signing, TLS 1.3, AWS KMS envelope encryption
🔑 Access Control	Access Control Policy	Amazon Cognito session states, IAM least-privilege transitions
🏷️ Data Classification	Data Classification Policy	European Parliament public open-data classification states
🔍 Vulnerability	Vulnerability Management	Amazon Inspector / CodeQL scan states in build lifecycle
🚨 Incident Response	Incident Response Plan	GuardDuty/Security Hub detection → response state transitions
💾 Backup & Recovery	Backup Recovery Policy	S3 versioning, point-in-time recovery states
🔄 Business Continuity	Business Continuity Plan	Multi-AZ serverless failover, static-edge fallback states
🤝 Third-Party	Third Party Management	AWS shared-responsibility and MCP provider assessment
🏷️ Classification	Classification Framework	Business impact analysis for platform state criticality

Compliance Framework Mapping

Framework	Version	Relevant Controls
ISO 27001	2022	A.5.1, A.8.25, A.8.26, A.8.27, A.8.28
NIST CSF	2.0	GV.OC, GV.RM, ID.AM, PR.AT, DE.CM, RS.MA
CIS Controls	v8.1	Control 1-5, 8, 13, 14, 16
GDPR	2016/679	Public MEP roles only; Bedrock Guardrails PII states

---

📋 Executive Summary

This document defines the evolution of EU Parliament Monitor's state management across three strategic horizons. Today (v1.0.x) the platform is a pure static-site generator whose only "states" are deterministic build-pipeline stages running in GitHub Actions and publishing to Amazon S3 + Amazon CloudFront. The future is not a single leap to "real-time"; it is a deliberate, governed progression:

• 🟢 v2.0 — Enhanced Static Intelligence (2026 H2 → 2027): keep the static HTML architecture and its simple, auditable build/publish lifecycle, but enrich the content states — richer party / political-group landscape dashboards, deeper OSINT tradecraft, and the 51-template analysis catalog — all baked at build time and delivered as static, cacheable assets. No servers, no runtime state stores.
• 🔵 v3.0+ — AWS-Native Serverless Intelligence Platform (2028+): layer event-driven, agentic, and session-aware state machines behind the static edge using AWS Step Functions, Lambda, EventBridge, Kinesis, Amazon Cognito, Amazon Bedrock, Amazon Neptune Serverless, DynamoDB DAX, GuardDuty and Security Hub — evolving the platform into a political-intelligence-operations ("intop") system without abandoning the cheap, resilient static front door.
• ⚪ 10-Year AI Lookahead (2026 → 2037): state machines progressively move from reactive → predictive → autonomous (self-healing), governed by the Hack23 AI Policy (AI proposes, humans remain accountable, no autonomous production deploy).

Design principle: complexity is added behind the static edge, never in front of it. The public, open-data front door always degrades to a pre-rendered static snapshot. This is the resilience and cost moat.

State Management Transformation

Aspect	Current (v1.0.x)	v2.0 (Enhanced Static)	v3.0+ (AWS Serverless)
State Persistence	None (ephemeral build)	None (ephemeral build)	DynamoDB + Aurora Serverless v2 + Step Functions execution history
State Complexity	Linear build workflow	Linear build + dataset states	Event-driven, parallel, agentic state machines
Orchestration	GitHub Actions jobs	GitHub Actions (gh-aw)	AWS Step Functions + EventBridge
Error Recovery	Fail and re-run	Fail and re-run	Retry/catch states, DLQ, self-healing
Identity/Session	None (anonymous static)	None (anonymous static)	Amazon Cognito session states
AI Generation	Build-time LLM (gh-aw)	Build-time LLM (gh-aw)	Bedrock + Knowledge Bases + Guardrails + human gate
Security States	CI scan gates	CI scan gates	GuardDuty/Security Hub detect → respond

---

📅 State Management Evolution Roadmap

gantt
    title State Management Evolution Timeline (v2.0 to v3.0+)
    dateFormat YYYY-MM

    section v2.0 Enhanced Static
    Party Landscape Dashboard States     :v2a, 2026-07, 3M
    OSINT Tradecraft State Enrichment    :v2b, 2026-09, 3M
    Dataset Build Lifecycle Hardening    :v2c, 2026-10, 2M
    51-Template Catalog Integration      :v2d, 2026-11, 3M

    section v3.0 Serverless Foundation
    Step Functions Orchestration         :v3a, 2028-01, 4M
    EventBridge Event Ingestion States   :v3b, 2028-03, 3M
    Cognito Session/Auth States          :v3c, 2028-05, 3M

    section v3.1 Intelligence Core
    Bedrock Generation State Machine     :v3d, 2028-07, 4M
    Neptune Knowledge Graph States       :v3e, 2028-09, 3M
    DAX Cache State Management            :v3f, 2028-10, 2M

    section v3.2 Autonomous Resilience
    GuardDuty Security State Response    :v4a, 2029-01, 3M
    Self-Healing Recovery States         :v4b, 2029-03, 4M
    Agentic OSINT State Orchestration    :v4c, 2029-06, 4M

---

🟢 v2.0 — Static Build & Publish Lifecycle State Machine

The v2.0 horizon preserves the deterministic, server-free build lifecycle. A gh-aw agentic workflow authors Stage-B markdown analysis artifacts, the deterministic aggregator renders 14-language HTML, and the result is deployed to Amazon S3 and served via Amazon CloudFront. These states are short-lived, fully reproducible, and leave no runtime state to defend.

stateDiagram-v2
    [*] --> Idle: Repository Ready

    Idle --> WorkflowTriggered: Schedule or Dispatch
    WorkflowTriggered --> RunnerProvisioned: GitHub Actions Runner

    RunnerProvisioned --> AgenticRun: Start gh-aw Workflow
    AgenticRun --> DataCollection: Query MCP Sources

    DataCollection --> DataCollected: EP MCP plus WorldBank plus IMF
    DataCollection --> DataDegraded: Source Timeout
    DataDegraded --> DataCollected: Fallback or Cached Window

    DataCollected --> AnalysisAuthoring: LLM Authors Artifacts
    AnalysisAuthoring --> ArtifactsWritten: Stage B Markdown Committed
    AnalysisAuthoring --> AuthoringRetry: Quality Below Floor
    AuthoringRetry --> AnalysisAuthoring: Refine and Reauthor

    ArtifactsWritten --> ManifestValidation: Validate manifest.json
    ManifestValidation --> ManifestValid: Schema and Floors OK
    ManifestValidation --> ManifestInvalid: Missing Artifacts
    ManifestInvalid --> AuthoringRetry: Regenerate Gaps

    ManifestValid --> AggregatorRender: Deterministic HTML Build
    AggregatorRender --> SecurityScan: CodeQL and Scorecard
    SecurityScan --> ScanPassed: No Blocking Findings
    SecurityScan --> ScanFailed: Findings Present
    ScanFailed --> BuildHalted: Block Publish

    ScanPassed --> ProvenanceSigning: SLSA 3 Attestation
    ProvenanceSigning --> S3Upload: Sync Static Assets

    S3Upload --> S3Uploaded: Objects Versioned
    S3Upload --> S3UploadRetry: Transient S3 Error
    S3UploadRetry --> S3Upload: Retry With Backoff

    S3Uploaded --> CloudFrontInvalidation: Invalidate Edge Cache
    CloudFrontInvalidation --> EdgePropagating: Distribute to PoPs
    EdgePropagating --> Published: Content Live

    Published --> Idle: Await Next Trigger
    BuildHalted --> Idle: Human Remediation

    note right of AnalysisAuthoring
        gh-aw + Anthropic Claude:
        51-template catalog
        ICD 203 confidence grading
        Politically neutral, cited
    end note

    note right of CloudFrontInvalidation
        Static edge stays the
        public front door across
        all three horizons.
    end note

---

🟢 v2.0 — Dashboard Dataset Build State Machine

v2.0's differentiator is higher-quality political-landscape intelligence, with a focus on parties and political groups. Interactive dashboards (Chart.js 4 + D3 7) consume pre-rendered datasets baked at build time — there is no runtime query path, preserving pure static delivery. The state machine below governs how a dataset (e.g., political-group cohesion, coalition mathematics, seat projection, voting-pattern heatmap) is assembled, validated, and frozen into a static JSON asset.

stateDiagram-v2
    [*] --> DatasetRequested: Build Step Begins

    DatasetRequested --> SourceResolution: Resolve MCP Tools
    SourceResolution --> Fetching: Pull Voting and Membership Data
    Fetching --> Fetched: Records Retrieved
    Fetching --> FetchPartial: Window Gap
    FetchPartial --> Fetched: Merge Cached Window

    Fetched --> Normalizing: Canonicalize Entities
    Normalizing --> Computing: Aggregate Metrics

    Computing --> CohesionScored: Group Cohesion Index
    Computing --> CoalitionMapped: Coalition Mathematics
    Computing --> SeatProjected: Seat or Election Cycle

    CohesionScored --> Validating: Cross-Check Totals
    CoalitionMapped --> Validating: Cross-Check Totals
    SeatProjected --> Validating: Cross-Check Totals

    Validating --> Valid: Sums and Ranges OK
    Validating --> Invalid: Anomaly Detected
    Invalid --> Recompute: Flag and Recompute
    Recompute --> Computing: Reaggregate

    Valid --> Freezing: Serialize Static JSON
    Freezing --> Embedded: Bake Into Build Output
    Embedded --> [*]: Dataset Ready For Edge

    note right of Computing
        Party / political-group focus:
        cohesion, defection, alliance
        networks, scorecards, heatmaps.
    end note

---

🔵 v3.0+ — Step Functions Article & Intelligence Generation State Machine

In v3.0+ the build-time generation path is complemented by an AWS Step Functions-orchestrated state machine for on-demand and event-triggered intelligence products. Amazon Bedrock provides model-agnostic foundation models, Bedrock Knowledge Bases supply managed RAG over the EP corpus and committed analysis artifacts, and Bedrock Guardrails enforce neutrality, GDPR/PII boundaries, and hallucination control. Per the Hack23 AI Policy, a human-review gate precedes any publication — AI proposes, humans remain accountable.

stateDiagram-v2
    [*] --> ExecutionStarted: Step Functions Invoke

    ExecutionStarted --> InputValidation: Validate Payload
    InputValidation --> ContextRetrieval: Valid Request
    InputValidation --> Rejected: Schema Error
    Rejected --> [*]: Fail Fast

    ContextRetrieval --> KnowledgeBaseQuery: Bedrock Knowledge Base
    KnowledgeBaseQuery --> ContextAssembled: RAG Chunks Retrieved
    KnowledgeBaseQuery --> RetrievalRetry: Throttled
    RetrievalRetry --> KnowledgeBaseQuery: Backoff Retry

    ContextAssembled --> ModelInvocation: Bedrock InvokeModel
    ModelInvocation --> DraftGenerated: Tokens Returned
    ModelInvocation --> InvocationRetry: Transient Error
    InvocationRetry --> ModelInvocation: Retry With Jitter
    ModelInvocation --> FallbackModel: Capacity Exhausted
    FallbackModel --> ModelInvocation: Switch Bedrock Model

    DraftGenerated --> GuardrailEvaluation: Bedrock Guardrails
    GuardrailEvaluation --> GuardrailPassed: Neutral and Clean
    GuardrailEvaluation --> GuardrailBlocked: Policy Violation
    GuardrailBlocked --> Regeneration: Adjust Prompt
    Regeneration --> ModelInvocation: Regenerate
    Regeneration --> HumanReviewGate: Max Attempts

    GuardrailPassed --> QualityScoring: ICD 203 and Citations
    QualityScoring --> QualityAcceptable: Floor Met
    QualityScoring --> QualityRejected: Below Floor
    QualityRejected --> Regeneration: Refine

    QualityAcceptable --> HumanReviewGate: Editorial Approval Required

    HumanReviewGate --> Approved: Editor Approves
    HumanReviewGate --> ChangesRequested: Editor Edits
    HumanReviewGate --> Discarded: Editor Rejects
    ChangesRequested --> ModelInvocation: Apply Feedback
    Discarded --> [*]: Halt Execution

    Approved --> Translation: Amazon Translate 14 Langs
    Translation --> TranslationDone: All Locales Ready
    Translation --> TranslationRetry: Locale Failed
    TranslationRetry --> Translation: Retry Failed Locales

    TranslationDone --> Persistence: Write DynamoDB and S3
    Persistence --> EdgePublish: CloudFront Invalidate
    EdgePublish --> ExecutionSucceeded: Product Live
    ExecutionSucceeded --> [*]: Emit Completion Event

    note right of HumanReviewGate
        AI Policy: AI proposes,
        humans are accountable.
        No autonomous production
        publish.
    end note

    note right of GuardrailEvaluation
        Neutrality, PII/GDPR,
        hallucination control on
        every generated draft.
    end note

---

🔵 v3.0+ — Real-Time EP Event Ingestion State Machine

To support near-real-time political intelligence, v3.0+ ingests European Parliament events through Amazon EventBridge, Amazon Kinesis (stream buffering), and AWS Lambda consumers. Events (new votes, tabled documents, plenary activities) flow from MCP feed polling into a durable stream, are deduplicated and classified, then either trigger the Step Functions generation machine or update the knowledge graph. Failures route to Amazon SQS dead-letter queues.

stateDiagram-v2
    [*] --> Polling: EventBridge Scheduler

    Polling --> FeedQueried: Lambda Polls MCP Feeds
    FeedQueried --> NoChange: Empty Window
    FeedQueried --> EventsDetected: New Items
    NoChange --> Polling: Await Next Tick

    EventsDetected --> Buffering: Publish to Kinesis
    Buffering --> Consuming: Lambda Stream Consumer

    Consuming --> Deduplicating: Check Idempotency Key
    Deduplicating --> Duplicate: Already Processed
    Deduplicating --> NewEvent: Unseen Event
    Duplicate --> Polling: Drop and Continue

    NewEvent --> Classifying: 7-Dimension Classification
    Classifying --> Significant: Above Threshold
    Classifying --> Routine: Below Threshold

    Routine --> GraphUpdateQueued: Update Knowledge Graph Only
    Significant --> GenerationTriggered: Start Step Functions
    Significant --> GraphUpdateQueued: Update Knowledge Graph

    GenerationTriggered --> Acknowledged: Execution Accepted
    GraphUpdateQueued --> Acknowledged: Update Enqueued
    Acknowledged --> Polling: Return to Stream

    Consuming --> ProcessingError: Consumer Exception
    ProcessingError --> RetryConsume: Within Retry Budget
    RetryConsume --> Consuming: Reprocess
    ProcessingError --> DeadLetter: Budget Exhausted
    DeadLetter --> OperatorAlert: SNS Notify
    OperatorAlert --> Polling: Manual Triage Logged

    note right of Classifying
        Significance scoring feeds
        the analysis catalog and
        early-warning indicators.
    end note

---

🔵 v3.0+ — API Session & Authentication State Machine (Amazon Cognito)

The v3.0+ API ecosystem serves journalists, researchers, and programmatic consumers via Amazon API Gateway fronted by AWS WAF, with identity managed by Amazon Cognito user pools (federated sign-in supported). The state machine governs a consumer session from anonymous edge access through authenticated, token-scoped API use. Public open-data endpoints remain anonymously reachable through the static edge.

stateDiagram-v2
    [*] --> Anonymous: Reach Static Edge

    Anonymous --> PublicAccess: Read Open Data
    PublicAccess --> Anonymous: Continue Browsing
    Anonymous --> AuthInitiated: Request API Access

    AuthInitiated --> CredentialEntry: Cognito Hosted UI
    CredentialEntry --> Authenticating: Submit Credentials
    Authenticating --> MFAChallenge: MFA Required
    Authenticating --> AuthFailed: Invalid Credentials
    AuthFailed --> CredentialEntry: Retry Within Limit
    AuthFailed --> LockedOut: Threshold Exceeded
    LockedOut --> Anonymous: Cooldown Elapsed

    MFAChallenge --> MFAVerified: Valid Code
    MFAChallenge --> AuthFailed: Invalid Code
    MFAVerified --> TokensIssued: ID and Access Tokens

    TokensIssued --> Authenticated: Session Active
    Authenticated --> AuthorizedCall: API Gateway Authorizer
    AuthorizedCall --> ScopeChecked: Validate Cognito Scopes
    ScopeChecked --> CallAllowed: Scope Permits
    ScopeChecked --> CallDenied: Insufficient Scope
    CallDenied --> Authenticated: Return 403
    CallAllowed --> Authenticated: Return Result

    Authenticated --> TokenRefresh: Access Token Expiring
    TokenRefresh --> TokensIssued: Refresh Token Valid
    TokenRefresh --> SessionExpired: Refresh Expired

    Authenticated --> SignOut: User Logout
    SignOut --> SessionExpired: Revoke Tokens
    SessionExpired --> Anonymous: Session Terminated

    note right of ScopeChecked
        IAM least privilege plus
        Cognito scopes. Public
        open-data needs no auth.
    end note

---

🔵 v3.0+ — Knowledge Graph Update State Machine (Amazon Neptune)

The political knowledge graph (MEPs ↔ political groups ↔ committees ↔ dossiers ↔ votes) lives in Amazon Neptune Serverless. Updates arrive from the event ingestion machine and from batch reconciliation jobs. The state machine enforces transactional consistency, entity resolution, and provenance tagging before commits become queryable via natural-language search (AppSync/OpenSearch-backed).

stateDiagram-v2
    [*] --> Idle: Graph Ready

    Idle --> UpdateReceived: Event or Batch Trigger
    UpdateReceived --> EntityResolution: Match Canonical IDs

    EntityResolution --> Resolved: Existing Entities
    EntityResolution --> NewEntities: Unseen Nodes
    NewEntities --> NodeCreation: Create Nodes
    NodeCreation --> Resolved: Nodes Registered

    Resolved --> EdgeStaging: Stage Relationships
    EdgeStaging --> ProvenanceTagging: Attach Source and Confidence
    ProvenanceTagging --> TransactionOpen: Begin Neptune Tx

    TransactionOpen --> Writing: Apply Mutations
    Writing --> ConsistencyCheck: Validate Invariants
    ConsistencyCheck --> Committing: Invariants Hold
    ConsistencyCheck --> Conflict: Invariant Violated

    Conflict --> RollingBack: Abort Tx
    RollingBack --> Reconciling: Resolve Divergence
    Reconciling --> EdgeStaging: Restage Corrected

    Committing --> Committed: Tx Durable
    Committed --> IndexSync: Sync OpenSearch Vectors
    IndexSync --> Queryable: NL Query Ready
    Queryable --> Idle: Await Next Update

    Writing --> WriteError: Engine Error
    WriteError --> RetryWrite: Within Budget
    RetryWrite --> Writing: Retry Mutation
    WriteError --> RollingBack: Budget Exhausted

    note right of ProvenanceTagging
        Every edge carries source
        grade and ICD 203 confidence
        for auditable intelligence.
    end note

---

🔵 v3.0+ — Cache State Management (CloudFront + DynamoDB DAX)

v3.0+ caching is two-tiered: Amazon CloudFront at the edge (static assets and cacheable API responses) and Amazon DynamoDB Accelerated (DAX) for hot key-value read paths behind dynamic Lambda functions. The state machine governs cache warming, hit/miss handling, event-driven invalidation, and eviction — with predictive warming guided by the parliamentary calendar.

stateDiagram-v2
    [*] --> CacheCold: Stack Deployed

    CacheCold --> Warming: Preload Hot Partitions
    Warming --> CacheReady: Edge and DAX Populated

    CacheReady --> Serving: Handle Request
    Serving --> EdgeHit: CloudFront Hit
    Serving --> DaxHit: DAX Hit
    Serving --> CacheMiss: Not Cached

    EdgeHit --> CacheReady: Return Cached
    DaxHit --> CacheReady: Return Cached

    CacheMiss --> OriginFetch: Lambda Reads DynamoDB
    OriginFetch --> Populating: Write Through DAX
    Populating --> CacheReady: Entry Stored

    CacheReady --> Invalidating: Content Updated Event
    Invalidating --> SelectivePurge: Targeted Keys
    SelectivePurge --> CacheReady: Related Entries Cleared

    CacheReady --> PredictiveWarm: Calendar Signal
    PredictiveWarm --> Warming: Pre-Fetch Likely Reads

    CacheReady --> TtlExpiry: TTL Reached
    TtlExpiry --> Evicting: Remove Stale
    Evicting --> CacheReady: Entry Evicted

    CacheReady --> Pressure: Memory Threshold
    Pressure --> LruEvict: Evict Least Recently Used
    LruEvict --> CacheReady: Capacity Restored

    note right of PredictiveWarm
        Plenary sessions and vote
        windows drive proactive
        warming before demand.
    end note

---

🔵 v3.0+ — Security State Management (GuardDuty + Security Hub)

Runtime security states are driven by Amazon GuardDuty (threat detection) and AWS Security Hub (finding aggregation and posture), with automated response orchestrated by EventBridge → Lambda and escalation via Amazon SNS. The machine moves from steady-state monitoring through detection, automated containment, and human-decision escalation, then back to a hardened secure state with updated detection rules.

stateDiagram-v2
    [*] --> SecureState: Baseline Posture

    SecureState --> Monitoring: GuardDuty Active
    Monitoring --> FindingRaised: Anomaly Detected
    Monitoring --> SecureState: All Clear

    FindingRaised --> Triage: Security Hub Correlates
    Triage --> LowSeverity: Informational
    Triage --> MediumSeverity: Suspicious
    Triage --> HighSeverity: Confirmed Threat

    LowSeverity --> Logging: Record and Continue
    Logging --> SecureState: No Action Needed

    MediumSeverity --> AutoContainment: EventBridge Lambda
    AutoContainment --> Contained: WAF Rule or Isolation
    AutoContainment --> ContainmentFailed: Action Error
    ContainmentFailed --> Escalation: Page On-Call

    HighSeverity --> Escalation: Notify Responders
    Escalation --> IncidentOpen: SNS Alert Sent

    IncidentOpen --> Investigating: Responder Engaged
    Investigating --> Mitigating: Apply Countermeasures
    Mitigating --> Neutralized: Threat Removed
    Mitigating --> CircuitBreaker: Isolate Component

    CircuitBreaker --> Isolated: Protected Mode
    Isolated --> Investigating: Continue Response

    Contained --> PostIncident: Review and Learn
    Neutralized --> PostIncident: Review and Learn
    PostIncident --> RuleUpdate: Tune Detections
    RuleUpdate --> SecureState: Hardened Posture

    note right of AutoContainment
        Automated response within
        seconds; humans approve
        irreversible actions.
    end note

---

📊 State Transition Metrics

Key Performance Indicators

State Category	Metric	Target	Alert Threshold
Static Build (v2.0)	Build-to-Published time	<12 min	>25 min
Dataset Build (v2.0)	Dataset freeze success rate	>99%	<97%
Step Functions (v3.0)	Execution success rate	>99%	<97%
Bedrock Generation	Draft-to-approved latency	<6 min	>15 min
Event Ingestion	Event processing lag	<60 seconds	>300 seconds
Cognito Auth	Token issuance latency	<500 ms	>2 seconds
Neptune Update	Commit-to-queryable lag	<30 seconds	>120 seconds
Cache (CloudFront/DAX)	Combined cache hit rate	>95%	<90%
Security Response	Detect-to-contain time	<30 seconds	>120 seconds

Governance Notes

• Human-review gate is non-bypassable. No Step Functions execution reaches EdgePublish without an Approved transition through HumanReviewGate, per the AI Policy.
• Static edge fallback is always available. If any dynamic v3.0+ state machine is degraded, CloudFront continues serving the last pre-rendered static snapshot.
• All states emit CloudTrail / CloudWatch events for auditability and X-Ray tracing, satisfying NIST CSF DE.CM and ISO 27001 A.8.15/A.8.16.

---

🎯 State Comparison: Current vs. v2.0 vs. v3.0

State Aspect	Current (v1.0.x)	v2.0 (Enhanced Static)	v3.0+ (AWS Serverless)
Total States	~10 (build workflow)	~20 (build + dataset)	120+ (multi-machine)
State Persistence	None (ephemeral)	None (ephemeral)	DynamoDB + Aurora SLv2 + Step Functions history
Orchestration	GitHub Actions	GitHub Actions (gh-aw)	Step Functions + EventBridge
Error States	Re-run job	Re-run job	Retry/catch, DLQ, self-healing
Parallel States	None (serial)	Limited (parallel datasets)	True parallel + fan-out
Identity States	None (anonymous)	None (anonymous)	Amazon Cognito sessions
AI States	Build-time gh-aw LLM	Build-time gh-aw LLM	Bedrock + KB + Guardrails + gate
Security States	CI scan gates	CI scan gates	GuardDuty/Security Hub detect→respond
Predictive States	None	None	Predictive cache warming, anomaly forecast
Public Front Door	Static (S3+CloudFront)	Static (S3+CloudFront)	Static edge + dynamic behind it

---

🕵️ Intelligence Capability State Machines (2026 → 2037)

The state machines above govern build, ingest, auth, graph, cache and security. These add the intelligence-product lifecycles required by the OSINT capability roadmap — the behaviour of an indicator/warning, a forecast, and a competing-hypothesis assessment as they move from raw signal to human-approved, calibrated intelligence. Each lifecycle bakes in the AI-Policy gate: no state reaches "Published" without human confirmation.

v3.0+ — Indications and Warning Indicator Lifecycle

stateDiagram-v2
    [*] --> Watching: Indicator Registered

    Watching --> Scoring: Scheduled Tick
    Scoring --> Watching: Within Baseline
    Scoring --> Elevated: Deviation Above Threshold

    Elevated --> Watching: Reverts to Baseline
    Elevated --> WarningDrafted: Tripwire Sustained

    WarningDrafted --> HumanReview: Attach WEP Band and Evidence
    HumanReview --> Suppressed: Rejected as False Alarm
    HumanReview --> WarningRaised: Confirmed

    WarningRaised --> Disseminated: Brief and Alert Emitted
    Disseminated --> Resolved: Event Occurs or Window Closes
    Suppressed --> Watching: Resume Monitoring
    Resolved --> Calibrated: Score Hit or Miss
    Calibrated --> Watching: Update Baseline

    note right of HumanReview
        AI Policy gate. No warning is
        disseminated without a human
        confirming the signal.
    end note

v3.0+ — Forecast Lifecycle (Estimate to Calibration)

stateDiagram-v2
    [*] --> Requested: Estimative Question Posed

    Requested --> HypothesesGenerated: Minimum Two Competing Hypotheses
    HypothesesGenerated --> EvidenceMapped: Cite PUBLIC Sources
    EvidenceMapped --> RedTeamed: Devils Advocate Pass

    RedTeamed --> Adjudicated: Human Resolves Splits
    RedTeamed --> EvidenceMapped: Reopen on New Evidence

    Adjudicated --> Estimated: WEP Band and Confidence Set
    Estimated --> Published: Human Signoff
    Estimated --> Withheld: Confidence Too Low

    Published --> AwaitingOutcome: Track Until Event
    Withheld --> EvidenceMapped: Gather More Evidence
    AwaitingOutcome --> Resolved: Outcome Known
    Resolved --> Calibrated: Brier Score Recorded
    Calibrated --> [*]: Feeds Analytic Track Record

    note right of Estimated
        Never a bare point estimate.
        Competing hypotheses and
        confidence travel with it.
    end note

v3.0+ — Competing-Hypothesis (ACH) Assessment State Machine

stateDiagram-v2
    [*] --> Framing: Define Question and Boundary

    Framing --> Hypotheses: Enumerate Mutually Exclusive Options
    Hypotheses --> EvidenceWeighing: Build ACH Matrix
    EvidenceWeighing --> AssumptionsChecked: Key Assumptions Check

    AssumptionsChecked --> Diagnostic: Identify Most Diagnostic Evidence
    Diagnostic --> Consistent: Leading Hypothesis Holds
    Diagnostic --> Inconsistent: Disconfirming Evidence Found

    Inconsistent --> Hypotheses: Revise or Add Hypotheses
    Consistent --> DissentRecorded: Preserve Minority View
    DissentRecorded --> HumanAdjudicated: Analyst Decides

    HumanAdjudicated --> Assessed: Confidence and Sources Attached
    Assessed --> [*]: Hand to Production

    note right of DissentRecorded
        Minority hypotheses are never
        discarded. Dissent is part of
        the auditable record.
    end note

---

🔮 Visionary State Management Roadmap: 2027-2037

AI-Driven State Evolution

As foundation models advance — accessed model-agnostically through Amazon Bedrock and continuously benchmarked against competitors (OpenAI, Google, Meta, EU sovereign AI) at each release — state management evolves from reactive (v2.0 build gates) to predictive (v3.0 anomaly and demand forecasting) to autonomous self-healing (late-horizon), always within Hack23 AI Policy guardrails: AI proposes, humans remain accountable, no autonomous production deploy.

AI Model Evolution — DevSecOps & Development Perspective

Year	AI Model	DevSecOps Capability Evolution
2026	Opus 4.6–4.9	🟢 AI-assisted code review, automated test generation, agentic CI/CD workflows
2027	Opus 5.x	🔵 Predictive vulnerability detection, intelligent dependency management
2028	Opus 6.x	🟣 Multi-modal security analysis (code + architecture + runtime), automated threat modeling
2029	Opus 7.x	🟠 Autonomous security pipeline orchestration, self-healing build systems
2030	Opus 8.x	🔴 Near-expert automated security review, AI-driven architecture validation
2031–2033	Opus 9–10.x / Pre-AGI	⚪ Autonomous secure development lifecycle management
2034–2037	AGI / Post-AGI	⭐ Transformative software engineering with built-in security assurance

Assumptions: major AI model upgrades annually; competitors evaluated at each release; architecture accommodates potential paradigm shifts (quantum AI, neuromorphic computing). Full cross-perspective analysis lives in the Hack23 Information Security Strategy § AI Model Evolution Strategy; governance per AI Policy.

Phase 5: Predictive State Intelligence (2027-2029)

• SageMaker-Driven State Prediction: Amazon SageMaker models forecast next system states from the parliamentary calendar, historical patterns, and real-time EventBridge signals — pre-warming DAX/CloudFront and pre-provisioning Lambda concurrency before plenary-session demand spikes.
• Self-Optimizing Step Functions: execution paths whose retry budgets, parallelism, and model selection self-tune from CloudWatch metrics, reducing latency and cost without manual intervention.
• Cross-Region State Consensus: multi-Region DynamoDB Global Tables and Neptune replication provide globally consistent read state with low-latency edge access.

Phase 6: Autonomous Self-Healing State Recovery (2029-2032)

• Intent-Based State Machines: operators declare desired outcomes (e.g., "all significant votes summarized within 5 minutes of publication"), and Bedrock Agents propose optimal Step Functions transition paths for human approval.
• Self-Healing Recovery States: agents diagnose stuck executions, dead-letter backlogs, or Neptune conflicts, and apply corrective transitions with full CloudTrail audit trails — while irreversible actions still require human sign-off.
• Temporal State Analytics: Step Functions execution history and S3 state snapshots enable time-travel replay to analyze behavior and forecast evolution.

Phase 7: Cognitive State Systems (2032-2035)

• Natural-Language State Definition: stakeholders describe behavior in natural language; Bedrock Agents generate formal Amazon States Language definitions for human review and gated deployment.
• Cross-Parliament State Orchestration: a unified serverless control plane manages many parliament-monitoring instances with intelligent conflict resolution, sharing the Neptune knowledge-graph schema.
• Predictive Failure Prevention: anomaly models forecast state-machine failures from subtle CloudWatch/X-Ray degradation signals before incidents occur.

Phase 8: AGI-Native State Architecture (2035-2037)

• Dynamic State Evolution: pre-AGI/AGI systems design, test, and propose new state machines as requirements change — deployment remains human-gated and policy-bound.
• Universal State Abstraction: a single serverless state paradigm scales from a simple static build to complex multi-system, multi-parliament orchestration.
• Bounded Autonomy: maximally automated operations with comprehensive safety boundaries, Bedrock Guardrails, and ethical guardrails — preserving the AI Policy invariant that humans remain accountable for published intelligence.

---

📚 References

Current State

• Current State Diagram
• Current Architecture
• Current Data Model
• Current Flowchart

Future State

• Future Architecture
• Future Flowchart
• Future Data Model
• Future Mindmap
• Future SWOT
• Future Security Architecture
• Future Threat Model
• Future Workflows

AWS Services & Patterns

• AWS Step Functions: https://docs.aws.amazon.com/step-functions/
• Amazon Bedrock: https://docs.aws.amazon.com/bedrock/
• Amazon EventBridge: https://docs.aws.amazon.com/eventbridge/
• Amazon Cognito: https://docs.aws.amazon.com/cognito/
• Amazon Neptune Serverless: https://docs.aws.amazon.com/neptune/
• Amazon DynamoDB DAX: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DAX.html
• Amazon GuardDuty: https://docs.aws.amazon.com/guardduty/
• AWS Security Hub: https://docs.aws.amazon.com/securityhub/

Governance

• Hack23 AI Policy
• Hack23 ISMS-PUBLIC

---

Document Status: ✅ APPROVED FOR PLANNING
Last Updated: 2026-05-31 (UTC)
Next Review: 2026-08-31 (Quarterly)
Classification: Public