secure-ai-agent-boundary
Enrichment pendingSecure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models
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Overview
Secure AI Engineering Framework 2026: Data-Boundary Security for Frontier Models
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Source: github.language · Jul 15, 2026
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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 file called .codeboundary.yml at the root of your repository. This file defines:
- The default contract for your project (applied to all model sessions unless overridden).
- A list of allowed models (by name and fingerprint).
- The audit log destination (local
.cb-audit/directory, or forwarded to an internal log aggregator).
From there, individual developers can define session contracts in their local working directory. These session contracts extend or restrict the default contract for specific tasks.
CodeBoundary is editor-agnostic. It integrates with any tool that can execute a CLI command before and after an edit, or any IDE extension that supports LSP-like hook callbacks.
📄 License
This project is released under the MIT License. You are free to use, modify, distribute, and incorporate CodeBoundary into internal or commercial products, provided that the original copyright notice and this permission notice appear in all copies or substantial portions of the software.
See the full license text at: https://opensource.org/licenses/MIT
CodeBoundary — Engineering with boundaries, not blind trust. © 2026
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