AEGIS Roadmap
Architectural Enforcement & Governance of Intelligent Systems
Version: 0.1
Status: Draft
Effective Date: March 5, 2026
Overview
The AEGIS™ roadmap describes the phased development of a governance architecture for AI systems.
The roadmap progresses through five stages:
- Architecture Publication — Foundational documentation and specifications
- Governance Runtime Definition — Operational architecture and protocol design
- Reference Runtime Implementation — Working prototype and reference code
- Governance Protocol Adoption — Ecosystem integrations and adoption
- Federated Governance Network Deployment — Distributed governance intelligence
Each stage builds on the previous stage and introduces additional capabilities.
Current Status
Active Stage: Stage 1 — Architecture Publication
Version: 0.1.0 (Draft)
Last Updated: March 5, 2026
Stage 1 Progress
✅ Completed:
- Core constitutional principles (8 articles)
- Comprehensive FAQ (22 questions + adoption model)
- Threat model (STRIDE-based, 187 lines)
- System overview and manifesto
- Reference architecture foundations
- Ecosystem map
- Repository structure with CI/CD (4 workflows passing)
- Trademark and governance policies
🔄 In Progress:
- AGP Protocol specification expansion (currently 24 lines, target: 10-20 pages)
- RFC-0001 through RFC-0004 detailed specifications
- Governance event schema examples
- Common schema definitions
- Deployment and operations documentation
🔜 Planned:
- v0.1 public announcement
- Community contribution guidelines finalization
- Initial governance structure definition
Stage 1 Completion Criteria
Target completion: Q2 2026 (pending specification expansion)
Criteria for Stage 1 → Stage 2 transition:
- All RFC specifications published with sufficient detail
- AGP Protocol fully documented (10+ pages)
- 8 governance event examples completed
- 4 common schema examples completed
- Public announcement and community feedback period
- 10+ community members engaged in discussions
- Documentation completeness >95%
Stage 1 — Architecture Publication
Goal
Publish the foundational architecture and governance model for AEGIS™.
Deliverables
- Manifesto
- System Overview
- Constitution
- Threat Model
- RFC-0001 Architecture
- RFC-0002 Governance Runtime
- RFC-0003 Capability Registry
- RFC-0004 Governance Event Model
- AGP-1 Governance Protocol
- Initial repository structure
- Documentation and branding assets
Success Criteria
- Repository publicly available ✅
- Core RFC specifications published (in progress)
- Initial issue roadmap created ✅
- Community able to review and discuss architecture ✅
- GitHub Discussions enabled with 5 categories ✅
- All CI/CD workflows passing ✅
Success Metrics
- Documentation: 8 core documents published (Constitution, FAQ, Threat Model, etc.)
- Community: 10+ contributors engaged in GitHub Discussions
- Quality: >95% documentation completeness score
- Visibility: Public announcement reaching 1,000+ relevant stakeholders
Dependencies
None.
Estimated Timeline
Status: Near completion (95%)
Target Completion: Q2 2026
Critical Path: AGP Protocol expansion, RFC specifications
Risks & Mitigation
| Risk | Impact | Mitigation |
|---|---|---|
| Architectural ambiguity | High | Comprehensive FAQ, multiple documentation layers |
| Incomplete specifications | High | Phased publication, RFC process for iteration |
| Misinterpretation of goals | Medium | Clear manifesto, constitutional principles, adoption model |
| Low initial engagement | Medium | Targeted outreach, conference presentations |
Community Milestones
- ✅ Repository structure established
- ✅ GitHub Discussions enabled (Legal & Licensing category active)
- ✅ Trademark policy published
- 🔜 Public v0.1 announcement
- 🔜 First community RFC proposal
- 🔜 Contributor onboarding documentation
Checkpoint
Repository launch and public architecture announcement.
Stage 2 — Governance Runtime Definition
Goal
Define the operational architecture required to implement AEGIS™ governance enforcement.
Deliverables
- Runtime architecture document
- Governance gateway API specification
- Capability registry schema
- Policy language specification
- AGP protocol message schemas
- Reference deployment model
Success Criteria
- Runtime architecture clearly documented
- Governance decision pipeline defined
- Capability and policy models finalized
- AGP message schemas defined
- Policy language specification published
- Deployment topology models documented
Success Metrics
- Specifications: 4 RFC documents completed (Runtime, Capability Registry, Policy Engine, Event Model)
- Schemas: 12+ schema examples (4 governance events, 4 common schemas, 4 capability definitions)
- Architecture: 3 deployment topologies defined (single-node, distributed, high-availability)
- Performance: Target latency defined (5-15ms governance overhead)
Dependencies
- Completion of Stage 1 RFC architecture specifications
- Community feedback on constitutional principles
- Initial threat model validation
Estimated Timeline
Duration: 1–2 months of design iteration
Target Start: Q2 2026
Target Completion: Q3 2026
Risks & Mitigation
| Risk | Impact | Mitigation |
|---|---|---|
| Overly complex governance logic | High | Keep policy language simple, incremental complexity |
| Unclear policy semantics | High | Formal specification, reference examples, test cases |
| Agent framework compatibility | High | Early engagement with LangChain, CrewAI, AutoGPT teams |
| Performance overhead concerns | Medium | Define latency targets, benchmark early prototypes |
| Schema versioning challenges | Medium | Semantic versioning from start, backward compatibility plan |
Community Milestones
- Policy language RFCs open for community input
- Agent framework maintainer engagement
- First community-contributed schema examples
- Technical working group formation
Checkpoint
Completion of the Reference Runtime Architecture specification.
Stage 3 — Reference Runtime Implementation
Goal
Develop the first working reference implementation of the AEGIS™ governance runtime.
Deliverables
- Governance gateway service
- Decision engine
- Capability registry implementation
- Policy engine
- Tool proxy layer
- Audit logging system
- Example integrations with AI agents
Success Criteria
- AI agents can submit action requests via AGP
- Governance runtime evaluates actions
- Approved actions execute through tool proxies
- Audit records generated for all decisions
- End-to-end examples with 3+ agent frameworks
- Performance benchmarks published
Success Metrics
- Implementation: Reference runtime operational (all 6 core components)
- Integrations: Working examples with 3+ agent frameworks (LangChain, CrewAI, AutoGPT)
- Performance: <15ms governance latency for 95th percentile
- Testing: 80%+ test coverage
- Documentation: Complete deployment guide with examples
- Community: 3+ external test deployments
Dependencies
- Completion of runtime architecture specification (Stage 2)
- Finalized capability and policy schemas
- AGP protocol message schemas
- Development resources committed
Estimated Timeline
Duration: 2–4 months of implementation
Target Start: Q3 2026
Target Completion: Q4 2026
Risks & Mitigation
| Risk | Impact | Mitigation |
|---|---|---|
| Runtime performance overhead | High | Async processing, caching, performance profiling |
| Integration complexity | High | Simple SDK/adapter pattern, clear integration docs |
| Insufficient policy expressiveness | Medium | Iterative policy language refinement, real-world testing |
| Security vulnerabilities | Critical | Security-first design, penetration testing, audit logging |
| Resource constraints | Medium | Phased implementation, prioritize core components |
| Deployment complexity | Medium | Container-first approach, reference Helm charts |
Community Milestones
- First community-contributed integration (agent framework)
- Reference implementation code repository established
- Developer onboarding documentation published
- First security audit completed
- Beta testing program with 5+ organizations
Checkpoint
First successful end-to-end governance evaluation flow.
Stage 4 — Governance Protocol Adoption
Goal
Encourage adoption of the AEGIS Governance Protocol across AI frameworks and infrastructure systems.
Deliverables
- AGP protocol documentation
- SDKs or adapters for common agent frameworks
- integration examples
- governance policy templates
Success Criteria
- AGP integrations demonstrated with agent frameworks
- Interoperability between multiple AI systems
- Community contributions to runtime implementations
- Published SDKs for 3+ languages
- Governance policy template library established
Success Metrics
- Adoption: 10+ production deployments
- Integrations: AGP support in 5+ agent frameworks
- SDKs: Client libraries for Python, JavaScript, Go, Java
- Community: 50+ active contributors
- Documentation: 20+ integration examples
- Standards: AGP considered for formal standardization (IETF, IEEE)
Dependencies
- Stable reference runtime implementation (Stage 3)
- Stable AGP protocol schema
- Comprehensive integration documentation
- SDK development resources
Estimated Timeline
Duration: 6–12 months of ecosystem development
Target Start: Q4 2026
Target Completion: Q2-Q3 2027
Risks & Mitigation
| Risk | Impact | Mitigation |
|---|---|---|
| Ecosystem fragmentation | High | Clear protocol versioning, reference implementations |
| Competing governance approaches | High | Open collaboration, RFC process, avoid vendor lock-in |
| Lack of early adopters | Critical | Partnership with key organizations, pilot programs |
| Protocol breaking changes | Medium | Semantic versioning, long deprecation cycles |
| SDK maintenance burden | Medium | Community ownership model, automated testing |
| Enterprise hesitation | Medium | Case studies, security audits, compliance guidance |
Community Milestones
- First third-party AGP implementation
- Policy template library reaches 25+ templates
- Conference presentations at 3+ industry events
- Enterprise pilot program launched
- First AGP certification program
- Community governance structure formalized (AEGIS Initiative)
Checkpoint
Multiple independent implementations of AGP.
Stage 5 — Federated Governance Network
Goal
Deploy the AEGIS Governance Federation Network (GFN) to enable distributed governance intelligence sharing.
Deliverables
- federation node architecture
- governance event schemas
- governance feeds
- trust model
- federation protocol implementation
Success Criteria
- Multiple organizations operating federation nodes
- Governance signals shared across nodes
- Coordinated response to emerging governance threats
- Trust model validated in production
- Privacy-preserving intelligence sharing demonstrated
Success Metrics
- Federation Nodes: 10+ independent nodes operational
- Organizations: 20+ organizations participating
- Signal Volume: 1M+ governance events processed monthly
- Threat Detection: Demonstrated detection of novel attack patterns
- Privacy: Zero-knowledge signal sharing protocols validated
- Response Time: <1 hour for critical threat dissemination
Dependencies
- Governance event model (RFC-0004) finalized
- Mature runtime implementations (Stage 3 complete)
- Production deployments (Stage 4 adoption)
- Trust model and cryptographic protocols defined
- Privacy-preserving signal sharing architecture
Estimated Timeline
Duration: 12–24 months of federation development
Target Start: Q3 2027
Target Completion: Q3-Q4 2028
Risks & Mitigation
| Risk | Impact | Mitigation |
|---|---|---|
| Malicious signal injection | Critical | Cryptographic attestation, reputation scoring, source validation |
| Governance trust disputes | High | Clear federation governance rules, dispute resolution process |
| Data sharing reluctance | High | Privacy-preserving protocols, opt-in model, legal frameworks |
| Centralization concerns | Medium | Decentralized architecture, no single point of control |
| Regulatory challenges | High | Legal analysis, compliance frameworks, regional variations |
| Network effects delays | Medium | Early adopter incentives, consortium model |
Community Milestones
- Federation governance charter published
- First multi-organization federation pilot
- Privacy-preserving protocol whitepaper
- Threat intelligence sharing demonstrated
- Federation node certification program
- 100+ organizations in AEGIS Federation Consortium
- First demonstrated cross-organization threat mitigation
Checkpoint
First operational federation network deployment.
Long-Term Vision
The long-term objective of AEGIS™ is to provide a governance infrastructure layer for AI systems, enabling deterministic control over AI-generated actions.
If successful, AEGIS™ could evolve into a widely adopted governance standard similar to how protocols such as TLS and OAuth became foundational to internet security.
AEGIS™ | “Capability without constraint is not intelligence”™
AEGIS Initiative — AEGIS Operations LLC