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Runtime security for AI agents

Control what AI agents do before they do it.

Thoth, Aten’s runtime security platform, checks agent tool calls against your policies before they run. Allow approved actions, require review for sensitive ones, and block policy violations—with a record of each decision.

Bring an agent workflow. We’ll walk through its integration, policy decisions, and evidence.

AI agent actions converging on Aten's runtime decision point

Illustrative policy scenario

A valid login. A sensitive action. A policy check.

An accounts-payable agent requests a supplier bank-detail change. The workflow needs finance approval before it can continue.

  1. Requested action

    Change supplier bank details

    The integration sends the action and available task context to Thoth.

  2. Policy

    Finance approval required

    Bank-detail changes need approval, even when the agent has access.

  3. Decision · STEP_UP

    Pause for review

    The integration holds the action pending the required approval.

Decision evidence: a decision identifier, policy reference, timestamp, and reason connect the requested action to its outcome.

Explore Thoth’s integration paths →

Institutional backing

DNX Ventures · Vanavil Ventures

Standards participation

Cloud Security Alliance · AARM working group

Meet Aten →

The post-approval gap

Agent access is only the start.

An agent can have valid access and still request an action outside its task. Thoth evaluates the action’s context and your policies at the integrated execution boundary.

01Access granted
02Context evaluated
03Action decided

Integration and deployment

Add a policy check between agents and tools.

Integrate through SDK or gateway patterns based on the application and operating boundary. Scope the architecture for cloud or customer-controlled environments during evaluation.

Pattern 01

SDK pattern

Place evaluation close to application code when teams want direct control over request context and decision handling.

Pattern 02

Gateway pattern

Centralize evaluation in the path between agents and tools when teams need a shared enforcement boundary.

Deployment patterns can be scoped for cloud or customer-controlled environments based on the organization's technical and operational boundaries.

Industry applications

Built for workflows where actions carry consequences.

Apply explicit runtime decisions to sensitive workflows across regulated and mission-focused organizations.

Financial services

Control consequential financial actions

Apply contextual authorization before agents move money, change records, or invoke sensitive systems.

Healthcare

Protect regulated clinical workflows

Put policy and evidence around agent actions involving sensitive data and operational decisions.

Government

Support mission systems with explicit controls

Deploy action-level authorization and evidence within defined operational and security boundaries.

FAQ

What teams ask before evaluation.

Start with the deployment, decision, and control questions that shape a technical evaluation.

Where does Thoth run?

Thoth integrates in the execution path through SDK and gateway patterns selected for the deployment.

What decisions does Thoth return?

Common decisions allow an action, require approval, or block it. Additional outcomes and response handling depend on the SDK version and integration; consult the decision reference during evaluation.

Does Aten replace identity or observability tools?

No. Aten complements them by controlling actions after access is granted and before execution.

Can Aten support regulated environments?

Aten is designed for regulated deployments; specific controls and deployment boundaries are confirmed during evaluation.

See runtime control in context

Put policy between agent intent and execution.

Walk through your agent workflows, deployment boundaries, and the decisions that matter most.

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