AMazeTM: Deception Technology for IT, OT and AI
AMazeTM is an AI-native proactive cyber resilience platform, built on deception technology. It mirrors your real infrastructure across IT, OT, identity, and AI environments, so adversaries reveal intent the moment they engage, and every move they make becomes high-fidelity intelligence on one unified attack chain.
One Platform, Three Capabilities
Because no legitimate user has reason to touch a synthetic asset, any interaction is a confirmed adversary — zero false positives, full context.
Neural Echoes
Planted credentials, API keys, and tokens seeded where adversaries search for value. Each one chains back to a Synthetic Cognitive Agent, so quiet exploration becomes a clear signal.
Learn moreSynthetic Cognitive Agents
Mirrored systems that behave like enterprise, cloud, OT, and AI assets — engaging suspicious behavior in mirrored environments while production stays out of the interaction.
Learn moreAdversary Intelligence
Every interaction becomes a Neural Event with evidence on commands, techniques, movement choices, and artifacts — mapped to MITRE ATT&CK and OWASP frameworks on one unified attack chain.
Learn moreThe vocabulary you know, and what replaces it
Deception did not start here. Decoys, breadcrumbs and honeypots established the idea this platform is built on: place something no legitimate user has any reason to touch, and an interaction with it stops being a maybe. Each of those ideas has a ceiling. Here is where each one stops, and what carries it further.
Protocol correctness is where decoys thin out.
A trail is only as good as where it leads.
Coverage has to reach where adversaries actually go.
Certainty is the floor, not the finish.
Decoy
Mature on IT and identity. Thinner once the protocol is industrial.
A fake server, workstation or cloud workload placed where an intruder will find it, and no legitimate user has a reason to touch one. Commercial platforms do this well on IT and identity surfaces. Industrial protocols are where fidelity drops, because convincing a scanner it is talking to a PLC means answering register reads and vendor quirks, not just listening on port 502.
AMazeTM
Answers as a specific device, down to vendor and model.
Synthetic Cognitive Agents are instrumented emulated services across SSH, RDP, MySQL, MQTT and Windows domain controllers on the IT side, and Modbus, EtherNet/IP, S7comm, DNP3 and BACnet on the OT side. Each presents as a real device rather than an open port, answering the way an Allen-Bradley CompactLogix or a Siemens S7-1500 would, and the OT agents are listened to rather than inserted, so they never inject traffic into live controllers.
Breadcrumb
Widely supported. What varies is the join back to the session.
Fake credentials, API keys, network shares and configuration files left where an intruder will follow them during reconnaissance. Most commercial platforms plant these and show the lure side of the story. What differs between them is whether an activation is joined to everything else happening on that host, and kept as a chain an analyst can reopen later.
AMazeTM
Joins the activation to every event on that host within ten minutes.
Neural Echoes are seeded artefacts with a full lifecycle, planned through planted, activated and expired, each paired to a Synthetic Cognitive Agent. When one activates, the pipeline joins it to every neural event from the same host inside a ten-minute window and persists the result as a timeline: not just that a credential file was touched, but by which process, from which source, after which reconnaissance, ending in which pivot.
Synthetic asset
Strong on IT and identity, or built for OT. Rarely both, never AI.
Artificial accounts, directory objects, simulated records and mock cloud resources widen the surface an intruder can touch without exposing anything real. Most suites specialise in one direction or the other, so a customer running both estates carries two products. And as workloads move from ports to prompts, none of them reaches the AI surface at all.
AMazeTM
One fabric across IT, identity, OT and the AI surface.
Every event is classified automatically into external, internal, OT and identity, with AI alongside them as a first-class segment. AI-SCAs bait attackers and rogue agents probing RAG context, tool schemas and MCP tools, handing back tracked canary credentials. Where a protocol is not bundled, a device persona written as a single JSON file extends the same treatment to OPC UA, IEC-104 or a proprietary stack, live in minutes rather than a vendor engineering ticket.
Alert
High confidence on the lure. Silent on the AI surface.
Because no legitimate user should be touching a synthetic asset, the alert carries far more confidence than an anomaly pulled from ordinary traffic. Deception products show the lure side of an intrusion and endpoint tooling shows the endpoint side, so an analyst still joins the two by hand. Neither sees an attacker probing your model's tools and context at all.
AMazeTM
One chain, whether the probe hit a PLC or a language model.
Each interaction becomes a Neural Event carrying who connected, with geolocation and reputation, what they ran, and the technique applied, mapped to MITRE ATT&CK, and to OWASP LLM Top-10 and MITRE ATLAS on the AI surface. An AI probe and a lateral movement attempt are one story in one console. Outbound dispatch to SIEM and SOAR is gated by an analyst decision that is recorded.
Every one of these shares the property that makes deception work at all: no legitimate user has a reason to touch a synthetic asset, so any interaction is a confirmed adversary rather than an anomaly to triage. The difference is what happens in the hours after that first contact.
Map. Maneuver. Maze
Map
A proactive resilience fabric is laid across your IT, OT, identity, and AI environments.
Maneuver
Adversaries are drawn away from real systems into synthetic assets that mirror your environment.
Maze
The longer they stay engaged, the more high-fidelity intelligence every move yields.
Built for Your Environment
AMazeTM complements the security stack you already run instead of replacing it.
Integrations
Confirmed-adversary evidence flows into SIEM, SOAR, SOC workflows, and security controls — with outbound dispatch gated by analyst approval.
View integrationsDeployment & Architecture
Flexible rollout across enterprise, cloud, OT, and AI environments — never inline, never touching production or safety systems.
See deployment optionsPrefer the documents? The AMazeTM Toolkit has the brochure, datasheet, use cases, and one-pager. Open the toolkit
More on deception technology
Guides and analysis from the MirrorMire team.
The Attacker Only Has to Be Right Once. We Think That Rule Should Break.
A trip-wire answers one question: did you touch it? A reflection asks a harder one: can you tell…
Beyond Reactive Security: Using Neural Echoes and Synthetic Cognitive Agents for Early Threat Detection
Move beyond reactive security. Explore how Neural Echoes and Synthetic Cognitive Agents enable proactive threat detection, reduce alert…
The CISO Response to Mythos: Build a Deception Capability
A new industry briefing warns that AI is compressing the path from vulnerability discovery to exploitation and identifies…
What Are Decoys, Lures, and Synthetic Assets?
Decoys, lures, and synthetic assets are designed to attract attackers away from real systems, helping security teams detect…
How Deception Technology Reduces False Positives
Deception technology reduces false positives by using fake assets that legitimate users ignore but attacker's target. This makes…
Honeypots vs Modern Cyber Deception: Why Decoys Are Evolving
Honeypots were the first generation of cyber decoys. Modern deception goes further, using realistic synthetic assets to engage…
See AMazeTM in action
A full walkthrough of the AMazeTM platform: how Synthetic Cognitive Agents and Neural Echoes engage adversaries and surface high-confidence signals that detect lateral movement earlier.
See AMazeTM in Your Environment
Walk through how AMazeTM turns adversary movement into earlier detection and proactive cyber resilience.