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View All on GitHubAI cybersecurity agent for automated penetration testing and vulnerability assessment
AI Summary: Integrate an updated 'think' tool from the strands-agents library into the Cyber-AutoAgent project. This involves adapting the tool's interface, adding output token restrictions (100-200 tokens), incorporating support for custom system prompts, and updating documentation. The integration must work regardless of the chosen model provider (AWS Bedrock or Ollama).
AI cybersecurity agent for automated penetration testing and vulnerability assessment
AI Summary: Integrate Langfuse (self-hosted) into the Cyber Auto Agent Docker container for observability and metrics tracking, leveraging the Strands framework and RAGAS evaluation. This involves configuring Langfuse within the Docker environment, modifying the agent to emit traces and metrics, integrating RAGAS for evaluation, and updating documentation.
AI cybersecurity agent for automated penetration testing and vulnerability assessment