Stop dangerous agent actions before tools run.

TAME wraps agent tools once, enforces deterministic policy at runtime, and turns blocked actions into evidence-rich incidents with remediation.

AI agents now touch code, customer data, and production workflows. TAME gives teams a real-time control plane before one bad tool call becomes an incident.

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Problem

Agent workflows are becoming execution paths.

A model can request bulk exports, generate risky code patches, or call internal tools with unsafe arguments. Logs alone are too late when the dangerous action already ran.

Solution

TAME checks every protected tool call first.

The SDK sends sanitized evidence to the runtime API. Policies decide allow or block, incidents capture the trace, and AI explains what happened with suggested fixes.

Three layers. One demo-ready product.

Layer 01

Tool-call guardrail

Protect existing agent tools with one wrapper and a shared API key.

Blocks before execution

Layer 02

Deterministic policy

Match agent, tool, destination, limits, risk scores, and workflow evidence.

AI never allowlists actions

Layer 03

Incident remediation

Store the trace, show evidence, and generate remediation or advisory patches.

Readable by security and eng

What the dashboard includes

Free-tier model routing

Fallback across Gemini, OpenRouter, Cloudflare, Mistral, Groq, OpenAI, then deterministic reports.

Security memory

Learns from completed remediations, false positives, and reviewer outcomes without retraining models.

Policy suggestions

Finds repeated incident patterns and proposes deterministic policy tuning.

Weekly digest

Summarizes incidents, remediations, top risky tools, and learned memories.

Model usage meter

Tracks provider calls, latency, failures, and estimated cost.

Red-team simulator

Runs risky tool-call scenarios against active policies without creating incidents.

Containment playbooks

Records approved reversible actions and dry runs before automation.

False-positive learning

Marks noisy patterns so future remediation can tune policies instead of repeating alerts.

Audit evidence

Keeps tenant-scoped events, decisions, approvals, and exports for security review.

1 SDKwraps existing toolsets

2 demossupport-agent and code-pipeline

100%deterministic policy decisions

TSVercel-ready runtime

Why now?

01Teams are moving agents from demos into code, support, and ops.
02Traditional security tooling observes after execution, not before.
03Generated code and data workflows need policy gates plus evidence.
04Buyers need a plug-and-play control that proves value in one demo.

Coverage gap

Block / Evidence / Fix

Observabilityyes / yes / no

Prompt filtersyes / no / no

Manual reviewno / yes / yes

TAMEyes / yes / yes

Private walkthrough

Schedule a focused demo to see TAME block a risky agent tool call, capture the evidence, and hand the incident to a reviewer.

TAME / Runtime security for AI agents / 2026

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