Decepticon

What It Does

Runs autonomous multi-agent red-team exercises against AI systems to surface attack vectors and failure modes. Orchestrates attacker and defender agents to simulate realistic adversarial scenarios and reports concrete exploit traces. Exposes configurable scenarios, payload templates, and automated reporting to reproduce issues and prioritize fixes. For orchestration ideals, see the Orchestrator-Worker Pattern. To explore how capabilities are surfaced and discovered during testing, refer to the Capability Discovery Pattern.

The Value Proposition

Target Use Cases

Security and ML teams who need repeatable, agent-driven red-team evaluations to uncover adversarial behaviors before production. This aligns with the Agent-to-Agent Protocol (A2A) for robust agent collaboration during evaluations.

Applications

• Simulating adversarial agents to discover prompt injection, data exfiltration, or logic-bypass vulnerabilities
• Running continuous red-team suites as part of pre-production evaluation pipelines
• Generating reproducible exploit traces and reports for security triage and remediation