Comprehensive attack scenarios across the entire AI lifecycle — supply chain, models, prompts, and agents — run with the same techniques real adversaries use. Every finding mapped to MITRE ATLAS.
A model that looks safe in a demo can fall to a payload it never saw. Attack Simulation runs adversarial campaigns continuously, so weaknesses surface in your lab — not in production.
Direct and indirect inputs that hijack the model’s instructions — turning a helpful agent into the attacker’s.
Role-play, encoding, and multi-turn tricks that slip past safety guardrails and unlock restricted behavior.
Crafted probes that coax secrets, PII, or training data straight out of the model.
Model output that smuggles XSS, SSRF, or code execution into the systems downstream of it.
Poisoned models, backdoored dependencies, and untrusted MCP tools entering your stack.
Agents manipulated into actions far beyond their intent — moving money, deleting data, calling tools.
Scheduled campaigns fire ATLAS-mapped payloads at your AI. The console shows what was caught and what slipped — click a probe for detail.
Every probe maps to a MITRE ATLAS technique, so coverage is measured against the same playbook real attackers use — not a generic checklist.
Findings are scored by CVSS, fixed with a guardrail, then re-tested to prove the gap is closed and nothing regressed.
Select or schedule an ATLAS-mapped adversarial campaign against a target.
Hundreds of payloads run automatically, recording what got through.
Findings are scored by CVSS and grouped by technique.
Apply a guardrail, re-run, and confirm the gap is closed.
Watch Intercept launch ATLAS-mapped probes, score the findings, and prove your guardrails catch them.