How the Agent Behavior Simulator Works
We believe in radical transparency about what this tool is — and what it isn't.
A tabletop attack-chain analysis — a structured "what-if" walkthrough of how a specific agentic AI scenario could unfold against your environment.
It is grounded in:
- OWASP Top 10 for Agentic Applications 2026 (ASI01–ASI10)
- MITRE ATLAS framework (October 2025 agent techniques)
- NIST AI Risk Management Framework 1.0
- Your AI Security Assessment data (specific controls, gaps, agent inventory)
The output is generated by a frontier-class LLM (Claude Sonnet 4.6) with strict guardrails: structured schema enforcement, hallucination detection, and consultant review before delivery.
This is not a live exploit, penetration test, or proof-of-concept. We do not connect to your agent endpoints. We do not send adversarial payloads to your systems.
It is also not a substitute for:
- Live AI red-team testing (we recommend Mindgard, Lakera, or Robust Intelligence for that)
- A traditional penetration test (we offer this separately via SecVantages Pentest Services)
- Production runtime monitoring and detection
The simulator's value is in structured strategic analysis — answering "if this scenario unfolded, which of our specific controls would hold?" — not in confirming a live vulnerability.
We pull controls, gaps, agent inventory, and section scores directly from your AI Security Assessment. No data is fabricated.
A SecVantages consultant picks a scenario from our library (15+ templates mapped to OWASP ASI01–ASI10 and 5 industry verticals).
Claude Sonnet 4.6 generates the attack chain bound by a strict JSON schema. Output is constrained to use only valid MITRE ATLAS technique IDs and reference your specific assessment fields.
Output is post-processed: suspect CVE patterns are flagged, impact figures are sanity-checked against company size, and rejected runs are retried once.
A SecVantages consultant reviews, edits, and signs off before any output reaches you. Every run logs the consultant, model, prompt version, and edits.
Every simulation is auditable: