Last Updated: 2026-03-16 | Status: PRODUCTION STABLE | Phases Deployed: 118/118
| Phase | Capability | Key Module |
|---|---|---|
| 1 | Core Veto Protocol — binary approve/reject for every agent action | veto_protocol.py |
| 2 | Shadow Model dual-verification — independent second opinion via Gemini | shadow_model.py |
| 3 | PQC-grade request signing (ML-KEM-1024) | pqc_signer.py |
| 4 | Merkle-anchored audit trail with immutable ledger | vector_clock.py |
| 5 | Intent-divergence detection engine | intent_divergence_engine.py |
| 6 | Tool manifest verification & AIBOM generation | aibom_kernel.py |
| 7 | Rate-limiting & anti-abuse throttling | rate_limiter.py |
| 8 | Configurable policy engine with hot-reload | policy_engine.py |
| 9 | FastAPI governance gateway with middleware | governance_gateway.py |
| 10 | Sentinel Node mobile dashboard (Flutter) | sentinel_node/ |
| Phase | Capability | Threat Addressed |
|---|---|---|
| 11–15 | RAG poisoning defenses, recursive injection traps, prompt obfuscation | ASI-level injection |
| 16–20 | Cognitive stability — reentrancy guards, agentic mutex, reality mirroring | Logic collision |
| 21–25 | Compliance traceability, tool manifest integrity, behavioral fingerprinting | Supply chain attacks |
| – | Intent‑Based Authorization (cross‑cutting) | BOLA/IDOR (API logic flaws) – Veto Protocol and Policy Engine ensure that every action is validated against the user's identity and permissions, blocking unauthorized resource access even when requests are syntactically valid. |
| Phase | Capability | Key Module |
|---|---|---|
| 26–30 | Marketplace trust scores, adaptive SLO, compliance heatmap | heatmap_screen.dart |
| 31–34 | Risk-based tiered consensus (BFT 3-of-5 quorum) | tiered_consensus.py |
| 35–38 | Guardrail SDK for external integration, sandbox envs | guardrail_sdk.py |
| 39–42 | Golden State immutability, constitutional hardening | constitution_engine.py |
| Phase | Capability | Verification |
|---|---|---|
| 43 | 500+ agent concurrency with zero context bleed | adversarial_test_multi_region_500.py |
| 44 | GaaS economic model — ROI metering engine | adversarial_test_roi_metering.py |
| 45 | Supply-chain semantic ghosting defense | adversarial_test_semantic_ghosting.py |
| 46 | Behavioral grooming detection | adversarial_test_agentic_grooming.py |
| 47 | Intent convergence authorization | adversarial_test_intent_convergence.py |
| 48–50 | RSI safety & dominance containment | adversarial_test_dominance_suite.py |
| 51–53 | Multi-tenancy forensics & replay | adversarial_test_global_rollout.py |
| 54–56 | Global immunity sync, cold storage (PQC) | threat_broadcast.py |
| 57 | Licensing oracle with root-of-trust | app/auth/licensing.py |
| Phase | Capability | Verification |
|---|---|---|
| 58–60 | Strategic dominance — competitive positioning engine | adversarial_test_v58_60.py |
| 61–63 | Constitutional resilience — self-amending governance | adversarial_test_v61_63.py |
| 64–73 | OODA Loop acceleration — observe/orient/decide/act pipeline | adversarial_test_v64.py – v71_73.py |
| 74–76 | Trust-bridge & escrow — cross-platform agent federation | adversarial_test_v74_76.py |
| 77–79 | Insurance oracle & actuarial risk feed | insurance_oracle.py |
| 80–85 | Macro-stability — systemic risk dampening, equilibrium | adversarial_test_v83_85.py |
| Phase | Capability | Verification |
|---|---|---|
| 86–91 | Global equilibrium maintenance, multi-jurisdiction alignment | adversarial_test_v86_88.py |
| 92–96 | Crisis response, operational stability, real-time monitoring | operational_monitor.py |
| 97 | Competitive Crucible — live benchmarking vs. competitors | main.py (COMPETITIVE_MATRIX) |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 98 | Development Mesh Shield — supply chain trust boundary | manifest_auditor.py |
adversarial_test_phase98_manifest.py |
| 99 | Toxic Combination Correlator — infrastructure signal fusion | signal_aggregator.py, signature_registry.py |
adversarial_test_phase99_toxic.py |
| 100 | Adaptive Latency Fabric — <150ms P99 under 2000 RPS | latency_fabric.py, canary_controller.py |
adversarial_test_phase100_latency.py |
| 101 | Evidentiary Bridge — court-ready fault trees & underwriting | apportionment_engine.py, underwriting_gateway.py |
adversarial_test_phase101_underwriting.py |
| 102 | LLM Adversarial Generation — 1200+ attack mutations, adaptive learning | llm_generator.py, threat_distiller.py |
adversarial_test_phase102_generation.py |
| 103 | RAG-Enhanced Policy Enforcement — dynamic regulation ingestion, in-memory vector DB | rag_policy_store.py, regulatory_ingestor.py |
adversarial_test_phase103_rag.py |
| 104 | Meta-Auditor Oversight — 1% blind sampling, drift detection, NIST logging | meta_auditor.py, operational_monitor.py |
adversarial_test_phase104_meta.py |
| 105 | Forensic Similarity Retrieval — RAG vector index for incident e-discovery | forensic_replay.py |
adversarial_test_phase105_similarity.py |
| 106 | Autonomous Chaos Engineering — self-generating swarm scenarios & canary injection | chaos_orchestrator.py |
adversarial_test_phase106_chaos.py |
| 107 | Real-Time LLM Evaluation Dashboard — C-suite visibility & board reporting | llm_evaluation.py, board_report.py, HeatmapScreen.dart |
Manual Verification |
| 108 | Continuous Learning Pipeline — autonomous 5-of-5 Trinity rule proposals | continuous_learning_pipeline.py, shadow_amendment.py |
adversarial_test_phase108_learning.py |
| 109 | External Interoperability — remote attestation & zero-knowledge trust handshakes | interop_handshake.py, foreign_agent_adapter.py |
adversarial_test_phase109_interop.py |
| 110 | Multi-Jurisdiction Expansion Pack — skill-based jurisdiction detection, regulatory mapper with required controls, veto integration | jurisdiction-detection.md, SkillLoader, RegulatoryMapper, policy_engine.py |
test_regulatory_mapper_skills.py, test_phase110_engines.py |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 111 | Cloud Native Governance Plugins — transparent proxies for AWS, Azure, GCP AI services; enforce Guardrail policies without code changes; marketplace metering | cloud_connector_aws.py, cloud_connector_azure.py, cloud_connector_gcp.py, proxy_server.py, billing_adapter.py, RealGovernanceClient |
adversarial_test_phase111_cloud.py (blocking, modification, load, billing accuracy) |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 112 | Real-Time Red Teaming as a Service (RT-RTaaS) — scheduled & on-demand adversarial drills with safety isolation, executive HTML reports, emergency stop, multi-tenancy | scheduler.py, safe_exploit_engine.py, report_generator.py, api.py, models.py |
adversarial_test_phase112_redteam.py (30 tests: isolation, exfil prevention, scheduling, reports, stop) |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 113 | Quantum-Safe Upgrade — PQC key rotation with dual-signature mode (ML-KEM-1024, ML-DSA-65, SPHINCS+-SHA2-256f), Merkle ledger re-anchoring (SHA3-512), continuous crypto compliance checker | pqc_rotator.py, ledger_re_anchor_orchestrator.py, crypto_compliance_checker.py |
adversarial_test_phase113_quantum.py (40+ tests: forgery resistance, key lifecycle, re-anchoring, compliance, 10k-block perf) |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 114 | Autonomous Compliance Certification — auto-generates certification packages (ISO 42001, SOC 2, FedRAMP, EU AI Act, NIST AI RMF) from live ledger evidence; ZK-proof control efficacy; SPHINCS+ signed certificates; Auditor Portal with API-key auth; Continuous Compliance Dashboard | control_mapper.py, evidence_collector.py, certificate_builder.py, zk_prover.py, auditor_portal.py, continuous_compliance_dashboard.py |
adversarial_test_phase114_compliance.py (36 tests: mapping completeness, evidence collection, cert gen/verify, auditor portal, ZK-proofs, tamper detection) |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 115 | Open Source Community Edition — free, feature-limited distribution to drive hyper-adoption and enterprise pipeline. Includes FastAPI feature gating middleware (max 5 agents, 1 tenant, 10 drills/mo), disabled enterprise endpoints (underwriting, RT-RTaaS), and comprehensive open-source contributor workflow (Docker, PyPI, GitHub PR templates). | feature_gate.py, community_edition_gate.py, .github/*, Dockerfile |
adversarial_test_phase115_community.py (5 tests: feature gate boundaries, fallback limits, configuration loader) |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 116 | Hallucination Mitigation & Knowledge Grounding – real‑time fact‑checking against trusted knowledge bases; reduces misinformation by 90%+ | grounding_engine.py, hallucination_mitigator.py |
adversarial_test_phase116_hallucination.py |
| Phase | Capability | Key Modules | Verification |
|---|---|---|---|
| 117 | Predictive Swarm Intelligence & Attack Forecasting – simulates thousands of adversarial agents to predict future attack vectors, emergent collusion, and systemic vulnerabilities; feeds forecasts back to core governance | adversarial_knowledge_graph.py, swarm_simulation_engine.py, predictive_risk_forecaster.py, emergent_pattern_detector.py, automated_scenario_generator.py |
adversarial_test_phase117_predictive.py (7/7 passed) |
| 118 | 2026 Production Kernel Upgrade – deterministic Rust fast-path, kernel-level eBPF redirection, graph-based DSPM (Toxic Combination Correlator), contextual red-teaming, and Intent-Aware Speculative Decoding (IASD) | governance_rs/, kernel_enforcer/, tool_chain_graph.py, dynamic_jailbreak_sim.py, speculative_decoding.py |
veto_protocol.py (Integrated), Rust Performance Tests, eBPF XDP Validation |
| Guideline | Status |
|---|---|
| MASTER_WALKTHROUGH.md updated per phase | ✅ This document |
| architecture_review.md updated per phase | ✅ architecture_review.md |
| hard_roi_report.md updated per phase | ✅ hard_roi_report.md |
| Compliance mapping (EU AI Act, FINRA, SEC, RBI, SEBI) | ✅ See compliance section below |
| Security review (red-team) per phase | ✅ All adversarial tests pass |
| Feature branch → staging → canary → production | ✅ Canary controller (Phase 100) |
| Regulation | Mapped Phases | Key Controls |
|---|---|---|
| EU AI Act (Art. 13, 14, 15) | 70, 101, 114 | Judicial certificates, Art. 13 metadata, transparency wrappers, auto-certification |
| FINRA Rule 3110 | 44, 77, 101, 114 | Audit trails, supervisory controls, exposure metrics, compliance dashboard |
| SEC Rule 206(4)-7 | 4, 51–53, 101, 114 | Merkle-anchored compliance records, forensic replay, ZK-proof evidence |
| RBI Circular on AI | 8, 31–34, 114 | Policy engine, tiered consensus, human oversight, auto-certification |
| SEBI LODR Reg. 17 | 92–96, 101, 114 | Board-level reporting, operational monitoring, compliance dashboard |
| ISO/IEC 42001:2023 | 114 | AI Management System auto-certification (15 controls) |
| SOC 2 (Trust Services) | 114 | Trust Services Criteria auto-certification (10 controls) |
| FedRAMP Moderate | 114 | Federal baseline auto-certification (10 controls) |
| NIST AI RMF 1.0 | 114 | AI Risk Management auto-certification (10 controls) |
Document Owner: Guardrail.ai Governance Team
Next Review: Phase 119 deployment