Products

An offensive engine and an audit toolkit.

Both open source, both built on the same thesis: agentic systems need to be tested as systems, not as isolated models.


MAS Audit Console

MST speaking a live agent fabric — topology mapped, behaviour fingerprinted, findings mapped to the Agentic Top 10.

CyberAI

AI-native offensive platform

A penetration-testing platform that runs as a coordinated multi-agent system — specialist agents for reconnaissance, exploitation, and reporting handing work to each other through native tool calling, with structured output for findings.

  • Multi-agent pipeline with native LLM tool calling
  • Prompt-injection detection on untrusted target output
  • Cost tracking and prompt caching across the run
  • Structured, schema-validated reporting
github.com/evkir/CyberAI ↗
MST · mas-sentry-toolkit

The audit toolkit for multi-agent systems

Where CyberAI attacks, MST inspects. It probes agentic systems from the outside: speaking their protocols, fingerprinting their behaviour, and mapping what it finds to a recognised threat taxonomy — emitting SARIF so results drop into existing security pipelines.

  • A2A protocol client for agent-to-agent surface testing
  • MCP audit with JSON-RPC 2.0 codec and SARIF output
  • ABFP behavioural fingerprinting engine
  • Unified threat engine + CLI · AGPL-3.0

Detection covers the full OWASP Agentic Top 10:

  1. ASI01 Agent Goal Hijack
  2. ASI02 Tool Misuse & Exploitation
  3. ASI03 Agent Identity & Privilege Abuse
  4. ASI04 Agentic Supply Chain Compromise
  5. ASI05 Unexpected Code Execution
  6. ASI06 Memory & Context Poisoning
  7. ASI07 Insecure Inter-Agent Communication
  8. ASI08 Cascading Agent Failures
  9. ASI09 Human-Agent Trust Exploitation
  10. ASI10 Rogue Agents
github.com/evkir/mas-sentry-toolkit ↗