Resources

Enigma AI is the first platform built to deliver Zero Trust for Internal Networks (ZTNX).

Traditional Zero Trust controls access to the network. Enigma AI governs what happens inside it.

Using an agentless architecture, Enigma AI:

• Discovers every asset
• Maps internal (east-west) communications
• Learns each asset’s intent
• Flags behavior that is inappropriate – not just unusual
• Continuously determines which connections should exist

The result is Internal Trust Governance – a living trust model of your internal network.

ZTNX stands for Zero Trust for Internal Networks. While most Zero Trust solutions focus on the perimeter (e.g., ZTNA, IAM, EDR), ZTNX applies the same principles inside your environment — where attackers move laterally, escalate privileges, and access sensitive systems undetected.

Enigma AI deploys agentlessly in minutes using network metadata collected via:

• SPAN ports
• Cloud packet mirroring (AWS, Azure, GCP)

No endpoint agents. No inline appliances. No performance impact.

At the core of Enigma AI is our patented Internal Trust Engine™ – continuously learning and validating which internal assets should be allowed to communicate based on what they are and what they exist to do.

Not just enforcement of manual segmentation policies – but continuous, intelligent generation and validation of trust. Not just detection of unusual traffic – but validation of what connections should exist in the first place.

• Lateral movement
• Beaconing / C2 activity
• Privilege escalation
• Reconnaissance behavior
• Insider threats
• Credential misuse
• Anomalous peer-to-peer communication
• Ransomware propagation
• Shadow IT / rogue devices

And many others…

• Most security tools address isolated parts of the problem:

  • NDR detects unusual or known malicious traffic – but does not determine whether connections should exist at all.
  • EDR protects endpoints – but does not govern communications between assets.
  • Segmentation tools enforce defined policies – but rely on manual rule creation and do not validate whether those policies are correct.

  Enigma AI is different. At its core is the Internal Trust Engine™, which continuously learns asset intent and validates whether internal communications are necessary and appropriate.

  It doesn’t just detect what’s suspicious. It doesn’t just enforce static rules.

  It determines which connections should exist and are safe – and continuously governs internal trust accordingly.

  That’s the difference between monitoring activity and governing it.

• We support hybrid environments across:

  • Traditional IT networks
  • Operational Technology (OT) / IoT / IoMD / IoMT
  • Cloud VPCs and workloads

  Because Enigma AI is agentless, it can monitor devices and systems that traditional tools can’t reach – including unmanaged, legacy, and IoT/OT assets.

• Yes. Enigma AI is built with enterprise-grade security:

  • All data is encrypted in transit and at rest
  • We collect only metadata – no payloads or deep packet inspection
  • You control how long data is stored

Yes. Since Enigma AI analyzes metadata, not packet contents, we retain full visibility in environments where traffic is encrypted (e.g., TLS, HTTPS). We detect anomalies in behavior and flow patterns, not payloads.

Very little. Unlike legacy tools that require signature updates, tuning rules, or agent management, Enigma AI runs passively and continuously adapts. It’s designed for low overhead and fast time to value.

Modern frameworks require more than perimeter defenses – they require visibility, segmentation, monitoring, and proof of control effectiveness.

Enigma AI supports these requirements by:

• Continuously discovering and classifying all assets
• Validating internal segmentation and least-privilege communication
• Detecting behavior inconsistent with asset intent
• Providing audit-ready evidence of internal trust governance

This aligns with key control areas across frameworks such as HIPAA, NIST 800-53, CIS Controls, and PCI DSS – particularly around asset inventory, network segmentation, continuous monitoring, and risk reduction.

Rather than treating compliance as a checklist, Enigma AI provides continuous validation that internal controls are working as intended.

Yes – because no existing platform governs internal trust.

For decades, security has focused on perimeter defense and identity. IAM became foundational because organizations realized access must be governed.

But once access is granted, internal systems are largely trusted by default.

There has never been an equivalent governance layer for internal network communications.

That is the gap Enigma AI fills.

Enigma AI delivers Zero Trust for Internal Networks (ZTNX) – continuously determining which internal connections should exist and are safe, based on asset intent.

The analogy is simple:

IAM governs trust for users.
Enigma AI governs trust for assets.
Complete Zero trust requires both.