Synthetic Cognitive Agents
A Synthetic Cognitive Agent is a mirrored system that behaves like real production infrastructure — speaking the same protocols and exposing the same kinds of services — so adversaries engage it instead of the asset it stands in for, and every interaction becomes evidence.
A synthetic asset only works if it makes sense in the environment around it. Adversaries quickly ignore assets that feel generic, disconnected, or too easy.
Synthetic Cognitive Agents come in three kinds — IT, OT, and AI-SCA — and are built to behave like plausible parts of the organization. They speak real protocols and can represent systems, services, identities, workflows, operational equipment, or AI surfaces that adversaries may want to inspect.
Because engagement happens in mirrored synthetic environments, any interaction is a confirmed adversary. Defenders gain high-fidelity behavioral evidence without ever pushing the adversary deeper into production.
How AMazeTM Mirrors Real Infrastructure
AMazeTM uses intelligent synthetic assets to keep adversary interaction observable, isolated, and high-fidelity for the security team — across IT, OT, identity, and AI environments.
Enterprise & Identity Mirrors
IT-SCAs represent internal systems, services, and identities — including Active Directory paths — that look relevant inside a modern enterprise and label MITRE ATT&CK techniques.
OT Mirrors
OT-SCAs speak real industrial protocols and emulate PLCs, RTUs, and gateways, labeling activity with MITRE ATT&CK for ICS — never inline and never touching safety systems.
AI Surface Engagement
AI-SCAs engage attempts to jailbreak or exfiltrate from chatbots, agentic and MCP stacks, and RAG, mapping each event to the OWASP LLM Top-10 and MITRE ATLAS.
Common questions
- What is a Synthetic Cognitive Agent?
- A Synthetic Cognitive Agent is a mirrored system that behaves like real production infrastructure — it speaks the same protocols, exposes the same kinds of services, and responds the way its genuine counterpart would. It exists solely so that adversaries engage it instead of a real asset, and every interaction is recorded as evidence.
- How is this different from traditional deception technology?
- Earlier generations of the idea were static: a fixed emulated service that experienced attackers learned to fingerprint and avoid. Synthetic Cognitive Agents mirror the environment they are deployed into and respond adaptively, so engagement continues long enough to yield intelligence rather than ending at first contact.
- Why are these signals free of false positives?
- Because there is no legitimate reason to interact with one. Real users and services have no route to a Synthetic Cognitive Agent and no business need for it, so interaction is not evidence to be weighed — it is a confirmed adversary by construction.
- Do they need to be maintained as the environment changes?
- They are generated from the environment rather than hand-built, so they track changes in the estate instead of drifting into obvious artifacts as real systems are added, patched, or retired.
Engage Adversaries Safely
See how Synthetic Cognitive Agents help defenders observe adversary behavior across IT, OT, identity, and AI environments without exposing production systems.
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