Genval agents with MCP servers

[santoshkal]

List of Agents, solutions, and Architecturesa to be integrated with Genval:

• [Training a small LLM with **Secret Detection in Code](**https://www.wiz.io/blog/small-language-model-for-secrets-detection-in-code)

• “Bitter learning”: general-purpose
  methods that scale with computation (like search and learning) will
  ultimately outperform approaches that rely on encoding human knowledge
  or clever algorithms. https://www.youtube.com/watch?v=JRvQGRqMazA

• GitHub's [CodeQL SAST with AutoFix levereging AI](**https://github.blog/engineering/platform-security/fixing-security-vulnerabilities-with-ai/)
  Code quality SAST from GitHub's CodeQL Tool with AI Capabilities with autofix feature.

• Cybersecurity AI for finding bugs in AI Agents [Aliasrobotics/cai](https://github.com/aliasrobotics/cai) AI agents that can assist in various aspects of Bug Bounty hunting. Pentesting for AI.

  • [Paper](https://arxiv.org/pdf/2504.06017)

• Using MCP and A2A for threat detection and mitigation in AI systems:

  • A2A enables agents to interact with the required MCP Servers for the job, share findings/contexts wit other Agents
  • MCP talks to security APIs and tools

  https://www.cybersec-automation.com/p/will-mcp-a2a-and-ag-ui-help-us-the-single-pane-of-glass-for-secops-c12d22215aa28244

• Multi-Agent Continuous Network Monitoring by [Akira](https://www.akira.ai/blog/network-monitoring-with-ai-agents) To observe Network Overheads, and mitigate network threats.