Enigma AI is an agent‑less platform that continuously discovers and classifies every asset across IT, cloud, and OT environments, then builds a living trust model to validate internal communications. By analyzing passive network metadata, it automatically generates minimal segmentation policies and flags behavior that deviates from learned asset intent, reducing attack surface and exposing insider or lateral‑movement threats without impacting performance.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations lack visibility and governance over internal (east‑west) communications, relying on perimeter‑focused tools that cannot determine whether connections between assets should exist. This gap allows lateral movement, insider threats, and mis‑configurations to go undetected, increasing attack surface and alert fatigue.
Solution
Enigma AI provides an agent‑less platform that continuously discovers every asset across IT, cloud, and OT environments and learns each asset’s intended function. By analyzing network metadata from SPAN ports and cloud packet mirroring, it builds a living trust model that validates whether internal communications are necessary and safe. The system automatically generates minimal segmentation policies, monitors real‑time traffic for behavior that deviates from learned intent, and flags novel or insider threats without relying on static rules or payload inspection. This internal trust governance reduces attack surface, improves detection of lateral movement and ransomware propagation, and delivers audit‑ready evidence for compliance frameworks.
Target Audience
Primary customers are security and network teams in enterprises that operate hybrid IT, cloud, and OT environments and need continuous governance of internal network communications.
Features
- Agent‑less deployment using passive metadata collection (SPAN ports, cloud packet mirroring) with no performance impact
- Automated discovery and classification of all assets, including unmanaged, legacy, and IoT/OT devices
- Continuous learning of asset intent to generate and validate minimal segmentation policies
- Real‑time monitoring that flags behavior inconsistent with asset purpose, detecting lateral movement, insider threats, and zero‑day activity
- Support for hybrid environments (traditional IT, OT/IoT, cloud VPCs) and encrypted traffic visibility through metadata analysis
- Enterprise‑grade security with encrypted data in transit and at rest, storing only metadata and no payloads
- Compliance‑ready reporting that provides continuous validation of internal controls for frameworks such as HIPAA, PCI, and NIST