How AMazeTM Works
AMazeTM works in three stages — Map, Maneuver, Maze. It maps the environment an adversary is moving through, maneuvers them toward mirrored systems that behave like the real thing, and holds them in a maze where every move they make becomes evidence instead of damage.
AMazeTM is built around a simple idea: adversaries reveal intent the moment they interact with synthetic assets, credentials, and paths that real users have no reason to touch.
Instead of waiting for damage, the platform mirrors real infrastructure with synthetic environments, then records exactly what the adversary tries to do next — a proactive, assume-breach posture that catches movement early.
The result is a cleaner detection story. Because legitimate users never touch these synthetic assets, any interaction is a confirmed adversary, correlated onto one unified attack chain across IT, OT, identity, and AI environments.
Map, Maneuver, Maze
Each stage answers a different question: what does the adversary see, where do they go next, and what can we prove about them once they are there.
Map
AMazeTM reads the environment the way an adversary would — the identities, services, shares, and routes that discovery turns up — so what gets mirrored matches what is actually there rather than a generic template.
Maneuver
Neural Echoes are seeded along those discovery paths: credentials, API keys, and tokens on real infrastructure, each one chaining back to a Synthetic Cognitive Agent. Following them leads away from production, without adding friction for legitimate users.
Maze
Inside the mirrored environment, every command, technique, and movement choice becomes a Neural Event mapped to MITRE and OWASP. The adversary spends their time on synthetic systems while the evidence accumulates against them.
See AMazeTM In Action
Walk through how high-fidelity signals become earlier detection, a unified attack chain, and proactive cyber resilience.
Request a Demo