AgentGuard Catches 8 Vulnerabilities in GitHub Code Scanning
📰 Dev.to AI
Learn how AgentGuard caught 8 vulnerabilities in GitHub code scanning and improve your CI/CD pipeline security
Action Steps
- Set up a demo repository with vulnerable AI agent code
- Configure AgentGuard to scan the repository in CI
- Push findings directly into GitHub's Security tab
- Review and address the identified vulnerabilities
- Integrate AgentGuard into your existing CI/CD pipeline
Who Needs to Know This
DevOps and security teams can benefit from using AgentGuard to identify vulnerabilities in their code, ensuring the security and integrity of their CI/CD pipelines
Key Insight
💡 AgentGuard can effectively identify vulnerabilities in AI agent code, including prompt injection, shell access, data exfiltration, and hardcoded API keys
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🚨 AgentGuard catches 8 vulnerabilities in GitHub code scanning! 🚨 Improve your CI/CD pipeline security with AgentGuard #AgentGuard #GitHub #Security
Key Takeaways
Learn how AgentGuard caught 8 vulnerabilities in GitHub code scanning and improve your CI/CD pipeline security
Full Article
AgentGuard Catches 8 Vulnerabilities in GitHub Code Scanning We set up a demo repo with vulnerable AI agent code. AgentGuard scanned it in CI and pushed 8 findings directly into GitHub's Security tab. The Setup A simple repo with two files: safe_agent.py -- clean code, no issues vulnerable_agent.py -- contains prompt injection, shell access, data exfiltration, and a hardcoded API key A GitHub Actions
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