Why We Built It
In 2025 alone, we watched EchoLeak (CVSS 9.3) exfiltrate Microsoft Copilot tenant data via a single email, the HexStrike-Agent attack chain weaponize an open-source agent framework into a ransomware deployment tool, and prompt injection attacks against customer-facing copilots become routine.
None of these were caught by traditional pentests. The vulnerabilities weren't in the code — they were in agent permissions, memory architecture, tool authorization, and inter-agent trust boundaries. Existing assessments don't model that.
The compliance pressure is real. EU AI Act GPAI obligations land Aug 2026. High-risk AI obligations land Aug 2027. Penalties up to €35M or 7% of global revenue. Auditors will ask for documented threat models and tabletop evidence — and most orgs don't have them.
What It Actually Does
The Agent Behavior Simulator is a consultant-driven tabletop exercise that walks an agentic system through realistic attack scenarios and produces a board-ready threat model. It is not a live red team, a code scanner, or an automated pentest. It's strategic risk modeling — what NIST AI RMF, ISO 42001, and the EU AI Act all expect organizations to do regularly.
For each scenario, you receive:
- A plain-English attack narrative grounded in your actual assessment data
- A 4-step attack chain mapped to specific MITRE ATLAS technique IDs
- The exploited controls (with the assessment field that failed) and the blocked controls
- A bounded $ impact range (we cap by company size + industry — no $500M figures for a 200-person SaaS)
- Recovery time estimate and prioritized remediations (P0/P1/P2) mapped to ASI risks
How It Works
Step 1: Assessment context extraction
We pull controls, AI inventory, agentic systems, and known gaps from your existing AI Security Assessment.
Step 2: Scenario selection
You pick from a library of scenarios mapped to OWASP ASI01–ASI10. Threat actor and blast radius are configurable.
Step 3: Constrained LLM generation
A grounded prompt with explicit anti-hallucination rules invokes a frontier model. Outputs are normalized and validated.
Step 4: Consultant review + scoring
A SecVantages consultant reviews every output, scores it on a 5-dimension QA rubric, and edits before client delivery.
What You Get
- Board-ready PDF — 4-page executive summary with consolidated risk exposure, ASI heatmap, and per-scenario appendices
- Sharable web portal — token-protected link your board, auditors, or insurance underwriters can review without an account
- Audit trail — model version, prompt version, consultant attribution, edit history, and QA score on every run
- Prioritized remediation plan mapped to ASI risks, MITRE ATLAS techniques, and your existing assessment controls
Who It's For
Good fit if:
- ✓ You have agents in production (or going live in 90 days)
- ✓ Those agents have tool access or autonomous decision-making
- ✓ Your board has asked "what could go wrong with the AI?"
- ✓ You're preparing for ISO 42001, EU AI Act, or NIST AI RMF audits
- ✓ You've done an AI security assessment and need scenario-specific risk modeling
Not a fit if:
- ✗ You're just exploring AI (start with our governance assessment)
- ✗ You want a live exploit against production (book a pentest)
- ✗ You're looking for an automated scanner (this is consultant-driven)
Engagement options
- Single Scenario — $8,500, 2–3 weeks. One scenario, one agent, full deliverable.
- Comprehensive Threat Model — $24,500, 4–6 weeks. 5 scenarios across your highest-risk agents.
- Continuous Program — from $7,500/mo. Quarterly threat model refresh as your agents evolve.
See a Sample
We published an anonymized sample threat model so you can see exactly what a deliverable looks like before you commit. It's a real engagement, sanitized.