I Built an AI That Autonomously Penetration Tests a Target, Then Writes Its Own SIEM Defense Rules
📰 Hackernoon
VANGUARD uses an LLM ReAct loop to autonomously penetration test targets and generate SIEM defense rules
Action Steps
- Implement an LLM ReAct loop to enable autonomous hacking and adaptation
- Use the LLM to stream its reasoning live via Server-Sent Events (SSE)
- Analyze the assessment results to identify vulnerabilities
- Automatically generate and deploy Elasticsearch KQL rules to catch the exploited vulnerabilities
Who Needs to Know This
Security teams and DevOps engineers can benefit from VANGUARD's autonomous penetration testing and automated defense rule generation, streamlining their security assessment and response processes
Key Insight
💡 Autonomous penetration testing can be achieved using LLMs, enabling adaptive and dynamic security assessments
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🚀 Autonomous penetration testing with LLMs!
DeepCamp AI