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Express
Make capabilities, effects, trust, evidence, risk, policies, placement, and deployment constraints explicit in the language.
AVERNAUT · AEGISAI v0.5.0 · FEDERATED AUTONOMOUS DEFENSE
AegisAI
Intelligence without uncontrolled authority.
A policy-, trust-, risk-, and security-aware programming language, compiler, and secure runtime for AI-native cyber defense and bounded autonomous intelligence.
Bounded AuthorityPolicyTrustDigital TwinMulti-Agent QuorumAttestation
01
What AegisAI Is
A language-level approach to constraining AI-driven cyber defense.
✓
Verify
Check authorization, delegation, quorum, attestation, revocation, and Digital Twin validation before an effect can execute.
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Execute Safely
Release approved actions only through typed effect adapters and preserve tamper-evident provenance.
02
Security Model
Key mechanisms documented in the current v0.5.0 repository.
Information FlowSecurity-level information flow and taint boundaries.
Capability ControlCapability/effect containment and no capability amplification through delegation.
Policy FederationFederated authorization with all, any, and threshold strategies.
Multi-Agent QuorumCompile-time quorum validation and runtime approval counting for sensitive proposals.
Runtime AttestationSigned freshness and measurement checks before execution.
Digital Twin ValidationMandatory validation before execute, together with Cloud/Edge/5G placement constraints.
03
v0.5 Authority Chain
No coordination primitive bypasses the execution boundary.
AI reasoning
→Proposal + evidence + trust
→Policy authorization
→Delegation + quorum
→Attestation + revocation
→Digital Twin
→Typed adapter
→Execute + provenance
04
Static Policy Gate Demo
Explore how bounded execution depends on explicit authorization conditions.
Static educational simulation only. The actual repository contains the compiler/runtime and a simulation-only bundled adapter; no real firewall change is performed by this Space.
RESEARCH PROTOTYPE · OPEN SOURCE · APACHE-2.0