repo-first-defense

Auditing security in AI-native repositories involves analyzing dependencies, CI-CD workflows, prompts, and agent configurations to identify supply-chain risks and secrets exposure. It generates a structured risk report with actionable mitigations for production hardening.

Supply-chain hardening for AI-native codebases is the process of validating dependencies and ensuring reproducible installs to prevent malicious package injections. It involves auditing your repository configurations and workflows to mitigate external attack vectors before deployment.

Checking for secrets exposure and misconfigurations before merging a PR requires running a defensive audit on your repository workflows and agent settings. This pre-merge check identifies exposed credentials and invalid MCP configurations, providing evidence for remediation.

Yes, you can integrate repository security audits into CI-CD pipelines by applying reproducible rules during PR reviews and deployment workflows. This automated defensive audit checks dependencies and prompts continuously to ensure production hardening standards are met.

Validating prompts and MCP configurations for security vulnerabilities requires auditing the agent settings within your AI-native repository. This defensive review identifies misconfigurations and potential prompt injection vectors, outputting structured findings for remediation.

Automated defensive audits for AI-native repositories are limited to identifying known patterns of misconfigurations, dependency risks, and secrets exposure. They require reproducible install environments to function accurately and may not detect novel zero-day supply-chain attacks.