Protect the Enterprise
from its Own Agents

AI agent security is the practice of controlling what an autonomous AI agent is allowed to do once it is connected to real business systems. An agent can reason, plan, and call tools, which means it can also send money, delete data, or change access. Agent security covers the controls that keep those actions safe: least privilege, input validation, monitoring, and authorization at high-consequence points. Token provides the last one as a deterministic control. Before an agent completes a high-consequence action, the correct human must approve it with biometric assured identity.

Two categories matter most. The hijacked agent is manipulated by an attacker through prompt injection, poisoned context, compromised tools, or stolen credentials, and it carries out the attacker's intent while appearing to operate normally. The well-meaning rogue agent is not malicious, but acts too broadly or without enough context and takes a harmful action anyway. Both end the same way: an action that damages the business. Token stops both at the transaction point by requiring biometric human approval before the action completes.

Prompt injection hides malicious instructions inside content the agent reads, such as a web page, a document, or a support ticket, to redirect the agent's behavior. Input filtering reduces it but cannot guarantee it, because the manipulation lives inside the agent's reasoning. A Token gate sits outside that reasoning. Even a fully manipulated agent cannot complete a gated action without biometric approval from the correct human. The attacker's intent stops at the gate.

Token places a biometric hard gate in the agentic workflow. The agent can prepare an action, gather context, and request authorization, but it cannot execute a high-consequence action until the correct authorized human approves with a live fingerprint on a Token device. The gate is a separate control plane, outside the agent's reasoning, enforced by cryptography. It is not a prompt the agent can bypass.

Human in the loop is often a suggestion the agent can reinterpret or route around. A Token gate is human authorization in the transaction path, enforced by cryptography. The action cannot complete until the biometric requirement is satisfied. It is not advice to the agent. It is a control the agent cannot cross.

A review agent, a guardrail model, and a policy engine all add value, and Token works alongside them. But AI checking AI is probabilistic. The reviewer can be fooled by the same prompt injection or poisoned context that fooled the first agent. For high-consequence actions, enterprises need proof, not another model's opinion. Token is the deterministic control the probabilistic layer cannot provide.

You decide. Most actions stay automated: reading, drafting, summarizing, recommending. The gate belongs only on actions that damage the business if the agent is wrong or compromised. Common examples include sending money, deleting data, changing access rights, releasing confidential information, modifying production systems, updating payment instructions, and creating service accounts.

It completes them. Least privilege, scoped permissions, input sanitization, and monitoring all reduce how often an agent can reach a harmful action. They are probabilistic controls. Token adds the deterministic control these frameworks call for at the highest-risk step: human authorization before a high-consequence action executes. Defense in depth, with proof at the point that matters.

Approval requires a live fingerprint match on a Token device, bound to a specific authorized user and a specific transaction. The credential is hardware-bound and cryptographically verified. There is no shared code to phish, no push to approve blindly, and no credential to hand off. Approval proves the human, not just access to a device.

Token provides the code, prompts, and integration patterns to add biometric approval gates into agentic workflows. Developers and security teams define which actions require approval, which human roles are authorized, and where the gate must sit before execution. It works alongside your existing oversight agents and policy engines.