Does Cyber Crucible use AI, and is it a large language model?
Short answer: Cyber Crucible uses proprietary AI — but only during development, not on your endpoint, and it is not a large language model. Its Genetic AI is a design-time discovery tool that identifies the deterministic set of behavioral variables indicating an attack. Those findings become fixed, deterministic kernel-level heuristics. At runtime, no AI, no LLM, and no adaptive model runs on the device.
Why this is a stronger position, not a weaker one
- No runtime model means no drift. Endpoint behavior is deterministic, repeatable, and testable — not probabilistic.
- No live inference surface. There is no on-device model for an attacker to manipulate or poison.
- No customer data in any model. Customer content, credentials, and keys are never used to train, feed, or tune a model, and no customer data leaves the endpoint for AI processing.
For a financial-institution or regulated reviewer, this is usually the AI answer they are hoping to hear: capability without a live, opaque model making decisions on the endpoint.
Related
See How is AI governed in Cyber Crucible's development lifecycle? for how the design-time work is controlled.