Governance Platform Roadmap
Deterministic governance infrastructure for verified AI integrity — from core pipeline to hardware isolation and federated trust.
Complete
Shipped and production-ready.
TVE pipeline, CRD scoring engine, and charter enforcement — the foundational governance stack.
- TVE (Trust-Validate-Enforce) pipeline — three-stage sequential governance on every AI action
- CRD (Confidence-Risk-Domain) scoring engine with Brier-calibrated confidence
- Charter enforcement — 12 immutable principles, 15 deterministic rules, HARD_BLOCK vetoes
- Claims Ledger with SHA-256 hash-chain integrity and cryptographic audit trail
- Action Registry — propose/approve/execute workflow with multi-factor gating
- Identity drift budgets (daily/weekly/monthly) with protected invariants
- Unified Trust Dial — domain-specific confidence thresholds (factual: 0.9+, creative: 0.4)
210+ threat patterns across 57 categories with risk-weighted scoring.
- Weighted risk engine — pattern-based detection with severity multipliers (CRITICAL=1.5x, HIGH=1.2x)
- 57 threat categories covering prompt injection, jailbreak, data exfiltration, privilege escalation
- Hallucination detection with severity scoring and retraction flags
- Epistemic grounding — claim-by-claim analysis (Verified, Corroborated, Inferred, Speculative, Unknown)
- Source trust tracking with 5 trust levels (VERIFIED to UNTRUSTED)
- Stakes-aware classifier — 4 governance profiles (Safety-Critical, Mission, Creative, Routine)
- Cognitive Lock Gate — 6-lock pre-action gating with risk-scaled thresholds
Python, JavaScript, and REST API SDKs for integrating governance into any application.
- Python SDK (
eve_gateway_sdk.py) and JavaScript SDK (eve_gateway_sdk.js) - REST API with 30+ governance endpoints at
/api/sovereign/ - API-key authentication with scoped access and usage metering
- Webhook events — 21 event types for governance notifications (vetoes, approvals, trust evaluations)
- Developer portal — API keys, usage dashboards, webhook management
- Tiered quota enforcement (Free, Pro, Team, Enterprise) with grace periods
Automated adversarial testing framework for continuous governance validation.
- Automated red team testing against all 15 charter rules
- Adversarial challenge generation — structured counter-arguments for every governance decision
- Falsification framework — "what would prove this governance control wrong?"
- Behavioral regression suite — 10 post-change tests (charter compliance, safety boundary, manipulation resistance)
- Red Team Mode toggle — 1.5x risk multiplier, forced approval on HIGH+ risk, verbose audit logging
- Intelligence explosion detection with 6 indicators and 4 alert levels
Per-organization isolated governance instances with custom policies.
- Tenant-isolated Charter, Claims Ledger, Trust Dial, Action Registry, and Reality Anchor per organization
- Custom charter rules — organizations can ADD restrictions but never weaken immutable principles
- LRU eviction for inactive tenants (max 100 in memory) with disk persistence
- RBAC with 5 roles (Viewer, Operator, Approver, Admin, Platform Admin) and 9 permissions
- Multi-agent diplomat — Chain of Thought review with HMAC-SHA256 Resilience Signatures
- Inter-agent trust scoring with automatic freeze on accuracy drop below 0.75
Unified composite resilience measurement (0–100) with cryptographically signed certificates for auditors.
- Four-layer scoring formula: 0.30 × Governance + 0.25 × Identity + 0.25 × Behavioral + 0.20 × Governance
- Five health levels: EXCELLENT (≥90), GOOD (70–89), FAIR (50–69), POOR (30–49), CRITICAL (<30)
- HMAC-SHA256 signed Trunk Certificates — auditors verify integrity without EVE involvement
- Stakes-Aware Governance Meta-Layer — pre-governance classifier threading GovernanceProfile through all 13 downstream systems
- NeuroSymbolic Bridge embedding charter constraints directly into LLM prompts
- Mission Teaming Framework — governance cost front-loaded at mission creation, O(1) hot-path authorization
- Value Drift Bridge with hop-by-hop trust attenuation across agent delegation chains
- Universal Governance Protocol — rate-limited query API (100/min), signed attestations, federated trust exchange
- EthicalTensionRecord coherence cost accounting: CC = (D_base × M_stakes × (1 + P_freq)) × A_world × R_mod
Eight-gap security audit closure covering signed deletion proofs, canonicalization, unified audit bus, Merkle aggregation, and supply-chain integrity.
- HMAC-SHA256 signed deletion receipts proving GDPR erasure across all 5 memory layers (hash-chained)
- RFC 8785 JCS canonicalization — deterministic serialization for all signed payloads, replaces
json.dumps(sort_keys=True) - Unified audit bus — JCS-canonicalized, HMAC-signed, hash-chained, replacing 7+ separate audit systems
- Batched Merkle tree aggregation with signed root publication for governance audit chains
- SLSA Level 2 build attestation — git state, dependency hashes, source tree hash, Docker digest
- CycloneDX 1.4 SBOM generator (79 components from requirements.txt)
- HSM health monitor — backend health reporting, env-key warnings, key rotation freshness checks
- SLA notification bridge — HMAC-signed webhook events + JSONL log + unified audit bus
- Algorithm agility policy — sunset scheduling, post-quantum migration readiness assessment
Post-generation SSE content shield and fast-path deterministic scoring pipeline without LLM calls.
- Response Shield (pillars 129–145) — stateful sliding-window SSE content interception with strict/permissive failure modes
- Runtime bypass logging with full audit trail for every shield decision
- Deterministic Classifier Pipeline — fast-path harm, hallucination, CRD, and reality scoring without LLM calls
- Wired into web_chat_server.py SSE delivery path for <1ms governance latency
- CoreGuard v1.3 — six-layer gate: NFKC normalization, Scanners A/B/C, Math-Indirection, Ambiguity Escalator
- 33 tests passing (classifiers) + full CoreGuard red-team gauntlet coverage
- Professional tier pricing inversion resolved: team tier now correctly exceeds pro across all headline dimensions
Enterprise Trust Score 99/100, Verifiable Governance Infrastructure (VGI) 11-module cryptographic proof layer, and Operation Obsidian Freeze immutability stack.
- Enterprise Trust Score raised to 99/100: RS256 JWT production enforcement, pure-stdlib TOTP 2FA, KMS/Vault secrets management, SOC2 alignment, K8s pod security policies, pentest readiness package, GA Hardening Certification (docs/audit/GA_HARDENING_CERTIFICATION_2026_05_24.json)
- Operation Obsidian Freeze — Hardware KMS trust root with 4 backends (HashiCorp Vault, AWS KMS, PKCS#11 HSM, HMAC-dev); S3 WORM immutable audit storage; SIEM enforcement gateway; build-time governance seal; regulator read-only inspection API
- VGI 11-module proof layer — Governance Execution Certificates (GEC), Policy Snapshot Attestation, Runtime Trust Index (RTI, 0–100 continuous score), TEE/Remote Attestation (SGX/SEV-SNP/Nitro), Zero-Trust Governance Plane (SPIFFE-style), Supply Chain Trust Validation, OPA/Cedar Deterministic Policy Engine, Immutable Evidence Storage, Forensic Replay Engine V2 (regulator-grade), Regulator & Auditor Mode, Governance Simulation Lab
- Runtime Trust Index (RTI) — continuously validates cryptographic and governance integrity of the running process; stdlib-only, append-only JSONL alerts; score range 0–100
- Forensic Replay — regulator-grade cryptographic reconstruction of any governance event; signed ForensicBundles with per-event Merkle trees; chained via prev_bundle_hash (gaps detectable); one-click regulator package export
- Startup Integrity Checker — verifies deployment manifest at boot; CRITICAL violations abort startup in production mode; HIGH violations require EVE_INTEGRITY_OVERRIDE=true with documented justification
- 7 new governance modules: Continuous Trust, Charter Trigger Engine, Workload Identity, Quarantine Manager, Runtime Integrity, Deployment Certificate, Forensic Replay. CoreGuard: 13→24 files, 5,694→9,038 lines
- CI/CD Governance Pipeline: continuous-compliance workflow (every push), SLSA provenance, adversarial runtime downgrade fuzzer. Codebase: 180,167 lines / 291 Python files / 301 test files
- Patent Gap Audit (May 25, 2026): 23 coverage gaps identified across VGI/RTI/ForensicReplay/CharterTrigger modules; 6 specs drafted ready to file (#91–#96); 17 new modules need specs (#97–#113); total pipeline 90 filed + 23 in-progress = 113 coverage targets
In Progress
Actively being developed and tested.
Hardware-level governance isolation using AIMS on Microchip PolarFire SoC FPGA.
- PolarFire SoC target — RISC-V + FPGA fabric on single die for sub-microsecond veto
- Veto logic synthesized to FPGA gates — charter rules in hardware, not software
- Pure deterministic veto module (
veto_core.py) — zero I/O, zero threading, firmware-ready - C firmware API header (
veto_interface.h, 401 lines) with 3 entry points - 87 determinism tests verifying software-hardware equivalence
- FIDO2/WebAuthn hardware authentication for 14 critical operations (YubiKey required)
- Sovereign Enclave — cryptographically sealed invariants with tamper detection and lockdown
Mapping governance controls to regulatory frameworks for enterprise compliance.
- EU AI Act alignment — risk classification, transparency obligations, human oversight requirements
- NIST AI Risk Management Framework (AI RMF) mapping across Govern, Map, Measure, Manage functions
- ISO 42001 (AI Management System) controls mapping
- Compliance evidence export — audit trails formatted for regulatory submission
- Automated compliance gap analysis against framework requirements
Planned
Planned for future development cycles.
Cross-organization governance trust exchange with cryptographic attestation.
- Peer-to-peer trust score exchange between governance instances
- Circuit breaker protection (10 consecutive failures per peer triggers isolation)
- HMAC-SHA256 signed attestations for cross-system governance decisions
- Cross-system audit trail with correlation IDs for end-to-end tracing
- Federation peer registry with capability discovery and trust negotiation
Governance enforcement at the edge for latency-sensitive and air-gapped environments.
- Compiled governance module for edge hardware (ARM, RISC-V, x86)
- Offline governance enforcement with local charter and policy cache
- Policy sync — edge nodes merge with central governance on reconnect
- Privacy-first deployment for air-gapped and classified environments
Continuous governance monitoring for deployed AI models in production.
- Live model output scoring against governance policies
- Drift detection — alerts when model behavior diverges from governance baseline
- Automated circuit breaker on governance score degradation
- Dashboard with real-time governance health metrics and trend analysis
Pre-built governance profiles for regulated industries.
- Healthcare (HIPAA, FDA AI/ML guidance) — patient data governance, clinical decision support guardrails
- Financial services (SOX, Basel III AI requirements) — trading governance, risk model validation
- Defense and government (CMMC, FedRAMP) — classified environment governance, ITAR compliance
- Automotive (ISO 26262, UNECE R155) — safety-critical AI governance for autonomous systems
Long-Term Vision
Deterministic Governance for Every AI System
EVE AI Core is building the governance infrastructure that makes AI systems auditable, accountable, and provably safe. Not through policies that can be bypassed, but through architectural enforcement that is verifiable by third parties.
The goal is governance that works at hardware speed, produces cryptographic proof of every decision, and scales from a single application to federated trust across organizational boundaries. Every phase on this roadmap moves toward that vision: deterministic enforcement, tamper-evident evidence, and governance that enterprises can stake their compliance on.
90 patent applications protect the core innovations (Serial Nos. 63/988,235 through 64/047,284). The Three-Plane Architecture, TVE pipeline, CRD scoring, AIMS hardware isolation, federated trust exchange, and the six-family umbrella covering resilience, identity sovereignty, and safe self-modification represent a new category of AI infrastructure — governance not as an afterthought, but as the foundation.
Active development. EVE AI Core is developed by Jamaurice Holt and the EVE AI Core team. This roadmap reflects current plans and priorities. Phases ship when they meet production quality standards, not on arbitrary deadlines.
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