README.md

metadata

title: AegisLayer Organization Home
emoji: 🛡️
colorFrom: green
colorTo: yellow
sdk: static
app_file: index.html
pinned: true
license: apache-2.0
tags:
  - ai-governance
  - ai-security
  - agentic-ai
  - trustworthy-ai
  - responsible-ai
  - zero-trust
short_description: Public AegisLayer portfolio for docs, demos, and datasets.

AegisLayer Organization Home

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

Canonical Links

• GitHub repository: https://github.com/vsdatta/aegislayer-architecture
• GitHub Pages docs: https://vsdatta.github.io/aegislayer-architecture/
• AegisLayer website: https://aegislayer.ai
• Security policy: https://github.com/vsdatta/aegislayer-architecture/blob/main/SECURITY.md
• Research program: https://vsdatta.github.io/aegislayer-architecture/RESEARCH_PROGRAM/
• Reference SDK: https://github.com/vsdatta/aegislayer-architecture/tree/main/reference-sdk

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

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

Documentation Jump Points

• Reference Architecture Guide: Public introduction to the architecture scope, major control planes, and traceability goals.
• Governance: Governance responsibilities, approval expectations, and accountability framing.
• Threat Control Traceability: Traceability from public threats to mapped control principles and residual risk.
• Reference SDK: Conceptual Python SDK walkthrough with policy, runtime, monitoring, and evidence examples.

Other AegisLayer Spaces

• AegisLayer Architecture Explorer
• AegisLayer Policy Playground
• AegisLayer Evidence Chain Explorer
• AegisLayer Threat Control Explorer
• AegisLayer Connector Trust Simulator
• AegisLayer Runtime State Visualizer
• AegisLayer Governance Library

Public Disclaimer

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

No analytics. No tracking. No external execution. No secrets required.