TRUST PLAYER ZERO

TRUST PLAYER ZERO

Meet your new cyber policy enforcer.

The TPZ AI Policy Manager turns complex security decisions into clear, contextual actions — powered by your identity stack, enforced by your NAC, and optimized like a game. It’s Zero Trust, automated and scored in real time.

From Identity to Action

AI translates roles into real-time, risk aware network segmentation - enforced by your Network Access Control (NAC) application.

TPZ uses its patent-pending large language model (LLM) to transform user and system identity (PCAP, NetFlow, etc.), interpret risk, and apply an organization’s own security policies to create or update Segmented VLANs (SvLANs) in real time.

Identity Management

Derived from SSO platforms like Okta or Active Directory, enriched with device posture, location, and access intent.

Cybersecurity Policy Data

A company’s own curated set of rules, standards, and historical security events that guides the AI in generating real-time access policies aligned with Zero Trust principles.

Cyber Policy Engine

The LLM analyzes telemetry (PCAP, NetFlow, etc.), interprets risk, and creates or updates Segmented VLANs (SvLANs) in real time.

Microsegmentation

Devices and services are automatically isolated based on identity, role, and usage. If someone’s risk score drops, the AI can revoke access instantly or reassign them to a more restricted zone.

NAC Enforcement

The AI Policy Engine both ingests telemetry from your NAC (e.g., Stealth, Cisco ISE, FortiNAC) and pushes enforcement commands back to it — enabling real-time, closed-loop policy updates without manual intervention.

This is dynamic Zero Trust, not a one-time configuration.

Trust Player Zero Score

TPZ continuously monitors every connection across your environment. Each access request is evaluated in real time based on identity, context, behavior, and risk.

The result?

A dynamic score that reflects how closely your system aligns with Zero Trust principles.

Score Feedback Loop Examples

  • Approve a suggested segmentation → score decreases

  • Add unmanaged cloud connector → score increases

  • Let an untrusted endpoint access Tier 1 data → score increases

  • Enable dynamic isolation on infected endpoint → score decreases

What the Score Represents

  • 0 = Optimal — Fully microsegmented, least privilege enforced

  • Higher scores = More risk — Indicates exposure, drift, or over-permissioning

  • Continuously updated — Every action, change, or exception affects the score in real time

The TPZ AI Policy Engine calculates your score using:

  • Identity posture (e.g., SSO signals, device trust)

  • Access context (location, time, behavioral anomalies)

  • Cyber policy alignment (how well current access reflects your declared policy)

  • Network segmentation quality (SvLAN enforcement)

  • Presence of unmanaged or shadow assets

Why It Matters

Your Cybersecurity Score is more than a metric — it’s a real-time signal of your operational risk posture. It gives IT leaders visibility, security teams control, and stakeholders a way to measure progress toward Zero Trust.