secure-ai-agent-boundary
Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models
GraphCanon updated Aug 13, 2026 · GitHub synced Aug 13, 2026
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Decision brief
secure-ai-agent-boundary provides decoupled configuration management for data security and model access control, overlaying existing Git workflows with minimal overhead.
Good fit when
- Use secure-ai-agent-boundary when you need to enforce strict model access controls within a git-based workflow without overhauling your infrastructure.
- It is suitable for organizations that require session-specific security settings directly from developers' local working directories, within an MIT License-compliant framework.
Avoid when
- Avoid secure-ai-agent-boundary if you have limited bandwidth for integrating new tools and cannot allocate resources to learn a new configuration layer.
- Do not use it when your project strictly needs real-time model access controls enforced via a heavyweight control-plane method, as this tool relies on decoupled configurations.
- Requirements:
- Secure AI Agent Boundary does not require a daemon, kernel patching, or heavyweight control plane operation.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Aug 13, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 13, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/Atrayee-dev/secure-ai-agent-boundarySimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides a decoupled configuration layer that manages data security and model access control within an existing Git workflow.
Capability facts
- Languages
- html
Source: github.language · Aug 13, 2026
Categories
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README
📖 Getting Started (Configuration Philosophy) CodeBoundary does not require installing a daemon, patching your kernel, or running a heavyweight control plane. It is designed as a decoupled configuration layer that overlays your existing Git workflow. The primary entry point is a...
For agents
This page has a .md twin and JSON over the API.