ZeroTrust for the Workforce That Never Logs In
AI agents carry credentials, invoke APIs, and make decisions without a human login. This creates a Zero Trust governance gap. This one-page Xenetra overview shows how nimbleNOVA governs agents through discovery, ownership, risk scoring, and enforcement. View the brochure, then contact a TD SYNNEX sales representative to discuss becoming a Cross Identity partner.
Why are AI agents a blind spot in Zero Trust programs?
Most Zero Trust programs were designed around humans, not AI agents. Every link in the traditional Zero Trust chain assumes a **human-verified identity**, an **accountable owner**, **least-privilege access**, and **continuous reverification**.
AI agents break these assumptions:
- They often run with **standing credentials** that no one wants to touch.
- They **invoke APIs, hold credentials, and make decisions** without being treated as first-class identities.
- Many organizations **cannot produce a complete inventory** of the AI agents already running in their environment.
The result is what many teams are now facing: a mature Zero Trust program that effectively covers humans, but leaves AI agents largely unexamined. In practice, that means **Zero Trust for only half your workforce**.
Cross Identity’s approach is to reimagine AI agents as governed identities:
- Each agent is **discovered across 8 planes**, including those no one registered.
- Each agent is given a **verified, owned, revocable identity**, not just a static credential.
- Lifecycle, certification, and entitlement reviews for agents **flow through your existing IGA**, just like human users.
This closes the Zero Trust gap for the “workforce that never logs in.”
How does Cross Identity discover and govern all our AI agents?
Cross Identity focuses on moving AI agents from **unknown to governed** using a few key capabilities:
1. Comprehensive discovery (8 planes)
- The ARIA component **discovers every agent across 8 planes**, including agents that were never formally registered.
- This creates an **agent census** that acts as a Zero Trust gap analysis, showing you what is currently ungoverned before you decide what to govern.
2. Unified identity governance
- Agents are modeled in **one object model** alongside your human workforce.
- Lifecycle management, certification, and entitlement reviews for agents **run natively through your existing IGA**.
- Each agent gets a **Birth Certificate** that records its origin and a **named human owner**, so there is clear accountability.
3. Live, explainable risk scoring
- Every agent receives a **single, live trust score** that all pillars read from.
- This score is **explainable** and updates as conditions change, supporting continuous Zero Trust decisions.
4. Integrated platform, not bolt-on tools
- Agents flow through the same **NimbleNova-class connector** as your human workforce.
- Xenetra Risk runs on the same **WarChief engine** used for Access Management (AM), Identity Governance & Administration (IGA), and CGF.
- The platform is built as **one identity fabric**, not stitched-together acquisitions.
Together, these capabilities help you move from a partial view of AI activity to a governed, scored, and enforced AI agent ecosystem in your own cloud.
How does Cross Identity enforce Zero Trust for AI agents in the cloud?
Cross Identity is designed to make enforcement **live in the cloud**, not just on tickets or static reports.
1. Verified, revocable identities for agents
- Each agent gets a **verified, owned identity** instead of a long-lived credential.
- Access can be **revoked quickly**, aligning with Zero Trust principles of least privilege and continuous verification.
2. Fast, cloud-level enforcement
- The **Suspend** capability attaches a **deny-all policy** to the IAM principal in seconds.
- This is **verified live in AWS**, changing the cloud configuration directly rather than just creating a ticket.
- Lifecycle, real-time risk, and enforcement are **converged** in the platform, so decisions and actions stay in sync.
3. Independent, corroborating evidence trails
- You get **two independent, corroborating trails**: Xenetra’s own logs and the cloud’s own records.
- This supports **forensics** and makes it easier to demonstrate what happened, when, and why.
4. Compliance support out of the box
- Controls are mapped to frameworks such as the **EU AI Act**, **NIST AI RMF**, and **ISO 42001**.
- Evidence is available **on demand**, helping you show that AI agents are governed and monitored under recognized standards.
By combining live trust scores, direct cloud enforcement, and strong evidence trails, Cross Identity helps you **rethink Zero Trust** so it consistently covers both humans and AI agents.