Most incidents start with a click, not a firewall gap. We train the people who can actually stop that — with role-based security and AI-risk education that changes behavior, not just awareness scores.
You can harden every system and still lose to a single convincing email. The vast majority of incidents begin with a person — a click, a reused password, a credential handed to a caller who sounded legitimate. And now AI makes those lures faster, cleaner, and far harder to spot.
Awareness posters don't change behavior. Practice does — realistic, role-specific, and repeated until the safe response is the reflex.
A developer, a finance lead, and an executive face different threats. We train each for the attacks that target them — not a generic one-size module.
Simulations modeled on the lures your people will actually see, including AI-generated attacks — so the first real one isn't their first encounter.
As your teams adopt AI tools, they need to know the new failure modes — data leakage, prompt manipulation, over-trust. We make that literacy practical.
The people who sign off on risk need to understand it. We brief leadership in plain language — decisions, not jargon.
Our training is built by a team that spends its days running the attacks your people need to resist — so what we teach reflects how breaches actually start, not a textbook.
It usually is — which is why it usually fails. We build for behavior change: role-specific, practiced, and measured by whether people actually respond safely, not whether they finished a module.
Yes. As teams adopt AI tools, we teach the new exposures — data leakage into models, prompt manipulation, and over-trusting AI output — in practical terms for every role.
Yes, including AI-generated lures. Realistic simulation is the difference between people who've read about an attack and people who've resisted one.
Reduction in successful simulations, faster reporting of real attempts, and behavior that holds up over time — not just completion rates.