AegisLayer Portfolio

Public governance and security architecture for accountable AI execution

Canonical GitHub documentation, deterministic static experiences, public research artifacts, and a conceptual reference SDK published from one reproducible source.

AegisLayer is a public reference-architecture and education initiative. These Spaces are deterministic static explainers, not production control planes or live policy enforcement systems.

Read the documentation Explore the SDK View research Contribute Report a security issue

Developer

VND TECH LLC

Public Scope

Conceptual reference architecture, governance documentation, diagrams, public research planning artifacts, synthetic datasets, static demonstrations, and a reference SDK.

Principles

  1. Separate AI reasoning from execution authority.
  2. Validate identity and authority before authorization.
  3. Evaluate policy before execution.
  4. Require accountable approval for high-impact actions.
  5. Scope connector access through explicit capabilities.
  6. Generate evidence by design.
  7. Continuously verify runtime trust and fail closed on drift.

What AegisLayer Publishes

AegisLayer publishes architecture guidance, governance principles, trust-boundary diagrams, conceptual SDK examples, synthetic datasets, and research planning artifacts for governed AI action systems.

  • Canonical GitHub repository and Pages docs
  • Public Hugging Face static Spaces
  • Synthetic datasets with schema and limitations
  • Reference SDK examples and tests

Static reference section

This section intentionally stays static and points readers to the canonical documentation and linked Spaces.

Featured Portfolio

Use the linked Spaces below to explore specific architecture slices without duplicating the full corpus into each repository.

Call to Action

Use AegisLayer as a public architecture reference, compare the principles against your own environment, and review the linked docs before adopting any pattern.

  • Read the documentation
  • Explore the SDK
  • View research
  • Contribute
  • Report a security issue

Static reference section

This section intentionally stays static and points readers to the canonical documentation and linked Spaces.