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Category Guide
AI-native security awareness.
Attackers rebuilt their workflow around generative AI. AI-native security awareness rebuilds the defense the same way: scenarios generated per target, training adapted per behavior, risk scored continuously — no libraries, no campaign calendar.
The Test
AI-native vs. AI-washed.
Three questions separate platforms built on AI from platforms with AI bolted on:
Q1
Is content generated or selected?
AI-washed: a model helps pick from the template library. AI-native: every lure and every coaching moment is generated fresh for the recipient’s role and context.
Q2
Does the system adapt without an admin?
AI-washed: AI suggests, humans schedule. AI-native: failure triggers coaching, repeat patterns escalate, and high-risk roles get more attention — automatically, inside approved scope.
Q3
Does it cover the channels AI attacks use?
AI-washed: smarter email. AI-native: email, SMS, voice, and multi-turn impersonation — because generative attacks stopped being email-only years ago.
Why It Matters
Why architecture sets the pace.
Attack velocity
Generated attacks change faster than any content team can write modules. Only a generating defense keeps simulation realism at parity.
Personalization parity
Attackers research targets automatically. Simulations that ignore role and context test a fantasy version of the threat.
Lean-team economics
AI-native automation is what makes continuous, multi-channel programs runnable by a two-person security team — the ICP reality for most mid-market companies.
Cimento's Approach
Native from the first commit.
Cimento was built as a generation-first risk engine. Scenarios, coaching, and scoring all run from the same adaptive loop — governed by scope and policy you control. The same model extends to the agents your employees delegate to — because agent risk starts as human risk.
Generated scenarios across email, SMS, voice, and impersonation
Adaptive micro-training triggered by observed behavior
Continuous role-based scoring from live signals
Policy guardrails: you approve scope, realism, and channels
FAQ
Our vendor added AI features. Isn't that enough?
Is AI-generated simulation content safe and controllable?
Does AI-native matter if we just need compliance training?
Match the attacker’s tooling.
Run a 14-day baseline with generated, multi-channel scenarios and see the difference architecture makes.