Stop screening for tools. Start testing for judgment.
Autonomous AI can execute the attack. What it can’t replace is knowing what to investigate, what to escalate, and when the AI is wrong — and that’s what we test for.
Why judgment beats execution in the age of autonomous AI
Execution is table stakes
We measure what matters now: what candidates investigate, escalate, and ignore under live attack conditions — not whether they can run the tool.
Role-specific threat modeling
Blue team, red team, SOC, cloud — scenarios built to surface adversarial thinking, not tool proficiency.
Skill is who directs the AI
AI claims completion. Humans verify reality. Our assessments measure the judgment behind the tooling — what candidates investigate, what they trust, and what they catch when the agent gets it wrong.
Train for the work AI is changing.
Hands-on courses built around real agentic security workflows.
AI-Assisted Vulnerability Management
Find, verify, remediate, and validate.
Securing Agentic AI
Contain, monitor, and respond.
AI-Driven Penetration Testing
Scope, direct, and report.
The judgment layer is the only layer that matters now
- Human reasoning over which signals to investigate, escalate, or ignore
- Decision path analysis reveals thinking that AI-assisted execution cannot fake
- Scenarios grounded in real incident response, not textbook attack chains
Built for the Mythos era
- At the 2026 National Cyber Defense Competition, 32 AI agents with Anthropic backing finished 7th. Students won.
- AI is most effective when directed by experienced professionals — we assess exactly that skill.
- Designed for a world where Mythos-class AI executes — and humans decide what, when, and whether to trust it.