ZKX Cortex™
AI Agents Need Identity Before They Get Authority
ZKX Cortex™ brings functional identity and authentication proofing to AI agents and other non-person entities, helping organizations evaluate whether an agent should be trusted before sensitive actions are allowed.
The Problem
Autonomous Action Without Identity Is a Risk.
AI agents are not just chat interfaces. They can connect to tools, trigger workflows, access accounts, move data, make recommendations, and eventually execute real transactions.
That means they need more than permissions buried inside an application. They need identity, authentication, authorization, and policy enforcement built around the agent itself. Without that layer, organizations risk giving autonomous systems access without enough proof that the agent, environment, and action are still trustworthy.
Give AI Agents a Way to Prove Themselves.
ZKX Cortex is designed to help organizations verify AI agents and other non-person entities before they are allowed to perform sensitive actions.
Instead of treating the agent as automatically trusted because it exists inside an approved workflow, Cortex can evaluate measurable qualities of the agent and its immediate environment.
The goal is simple: before an AI agent acts, it should prove it is the right agent, in the right state, under the right conditions.
ZKX Cortex™ Benefits
- Gives AI agents verifiable identity
- Controls agent authority before execution
- Reduces risk from rogue or compromised agents
- Supports human review when risk increases
- Secures non-human access paths
How AI Agent Proofing Works With Cortex
Cortex brings proof and policy to agentic workflows. It helps teams move from “the agent has access” to “the agent has proven it should be allowed to use that access right now.”
Step 1
An AI agent attempts an action
The agent tries to execute a workflow, access a resource, send data, trigger a transaction, or interact with another system.
Step 2
Cortex evaluates the agent
Cortex checks measurable qualities tied to the agent and its environment before the action is allowed.
Step 3
Proof is required
The agent must pass a proofing check that confirms it still matches the expected identity and operating conditions.
Step 4
Policy determines the response
The action can be allowed, denied, stepped up, or routed to a human operator depending on the result and the risk of the action.
Secure Agentic Workflows
Explore how ZKX Cortex helps bring proof-based control to AI agents and NPEs.
Not Just API Access. Functional Identity for the Agent.
Most systems manage what an agent can reach. Cortex is focused on whether the agent should be trusted to act.
That distinction matters. An AI agent may have tool access and still be operating in the wrong state, from the wrong environment, or under conditions that should trigger a stronger policy decision.
Proof-based agent identity
Require the agent to prove it is the expected entity before sensitive actions are allowed.
Environment-aware verification
Evaluate measurable qualities of the agent and its immediate operating environment.
Policy before action
Allow, deny, step up, or route actions based on the risk of the workflow.
Human-in-the-loop control
Involve a human operator when conditions require review, approval, or escalation.
Built for non-person entities
Extend identity and authorization beyond users to agents, workloads, services, and autonomous systems.
Built for Agentic Workflows Where Trust Matters
Cortex is designed for environments where AI agents or non-person entities may touch sensitive systems, data, money, infrastructure, or customer-facing workflows.
See Cortex verify an AI agent before it acts
The Cortex demo shows a Claude agent bound to a real cryptocurrency wallet and sending real tokens over a test network.
The agent’s ability to run transactions depends on whether it passes a Cortex check that evaluates measurable qualities of the agent and its immediate environment. If defined conditions are met, a human operator can also be brought into the approval loop.
Experimental, cutting-edge, and built for early evaluation
ZKX Cortex is an emerging, cutting-edge capability in the ZKX portfolio. It is currently best suited for exploratory conversations, lab-grade evaluations, technical demonstrations, and organizations thinking ahead about agentic AI security.
The goal is not to pretend the AI agent security market is fully settled. The goal is to help define the identity and authorization layer it will need.
Backed by patented technology
ZKX Cortex FAQs
AI agents create a new class of identity and access risk. These FAQs explain how Cortex helps bring proof, policy, and control to autonomous and non-person entities.
What is ZKX Cortex?
ZKX Cortex is a proof-based identity and authorization framework for AI agents and other non-person entities.
What problem does Cortex solve?
Cortex helps verify whether an AI agent is legitimate, operating in the expected environment, and authorized before it performs sensitive actions.
Is Cortex only for AI agents?
No. Cortex is focused on AI agents, but the same model can apply to other non-person entities such as services, workloads, and autonomous systems.
How is Cortex different from API permissions?
API permissions define what an agent may be allowed to reach. Cortex helps determine whether the agent should be trusted to act at the moment of execution.
Can Cortex involve a human operator?
Yes. Cortex can support human-in-the-loop workflows when certain conditions or risk thresholds require review before an action proceeds.
Built for teams preparing for agentic AI risk
Cortex is designed for organizations exploring AI agents, autonomous workflows, non-human identity, and secure automation.
It is especially relevant for teams that need to govern what agents can do before those agents interact with money, data, systems, customers, or infrastructure.
- CISOs & CTOs
- AI Governance Teams
- Security Engineering Teams
- Platform Engineering Personnel
- Autonomous Systems Security Teams
Give AI Agents Proof Before Authority
Bring us the agent workflow, automation path, transaction, or non-human identity problem you need to secure.
We’ll show you how Cortex can help verify trust before autonomous action is allowed.