MirrorMire

An adversary who breaches an energy plant, a factory or an enterprise network typically stays inside for months, because the defences are waiting for an attack they already recognise. MirrorMire's AMaze plants realistic decoys across a company's real IT, OT, identity and AI-agent systems, so an intruder reveals themselves during reconnaissance, before they reach anything real, and every move they make becomes evidence the security team can act on.

Breaches are found late because almost every security tool is reactive: it matches signatures of attacks seen somewhere else, and an adversary who does not match one can sit inside a network for the better part of a year while the cost of the eventual clean-up climbs. Attacks now move at machine speed, with most of the operational work of a realistic intrusion run by AI, and the surface keeps widening: industrial control systems, identity stores and now a population of AI agents with their own servers and credentials, all in environments where a false alarm is expensive and a missed one is far worse.

AMaze turns the first move against it. Synthetic Cognitive Agents are decoys that answer like the real database, app server, SSH host, PLC or MCP server they mimic, and lures the company calls Neural Echoes are planted across real assets to steer an attacker away from the systems that matter and into an isolated twin. No legitimate user has a reason to touch one, so a single engagement is a confirmed adversary; the twin records the full tactics, techniques and malware, maps them to MITRE ATT&CK and hands the containment to the tools the security team already runs. Any proprietary device can be emulated from one configuration file, and the platform deploys from a hosted service that is live in minutes to a fully air-gapped installation for critical infrastructure. MirrorMire came out of stealth in April 2026, has run in production since that summer, and is founded by Naveen Zalpuri and Rajesh Nanda, with a team across North America and India.