Comparison · Microsoft AGT · Talon

Use AGT for agent actions. Use Talon for AI traffic evidence.

Microsoft AGT helps govern what an agent can do inside an application. Talon helps EU teams control what AI traffic leaves their environment and produce signed evidence for reviews.

Run Talon demo See evidence model All comparisons

Choose the layer

Agent action policy → AGT-style controls
AI traffic evidence → Talon
Both risks          → use both layers

Agent actionsAI egressPII controlsEU sovereigntySigned evidence

Short answer

They are complementary, not interchangeable.

Start with AGT-style controls when you are designing a new agent runtime. Start with Talon when you already have LLM apps, agents, bots, or vendor workflows and need to prove what crossed the model/provider boundary.

🏗️

AGT-style controls

Best for tool execution, sub-agent behavior, and action policy inside agent code.

🇪🇺

Talon

Best for PII controls, EU routing, cost caps, and signed evidence across AI traffic.

🤝

Together

Use both when you need action controls and provider-boundary evidence.

Decision matrix

Which path fits your situation?

Your situation	Recommended path
You are building a new agent and need deep action-level controls.	Start with Microsoft AGT.
You already have AI traffic going to model providers.	Start with Talon.
You need to answer DPO, security, customer, or auditor questions.	Use Talon and export signed evidence.
You need both action controls and provider-boundary evidence.	Use AGT and Talon together.

Evaluate Talon

Test one AI workflow in minutes.

Route one OpenAI-compatible workflow through Talon, send test PII, inspect the policy decision, export the evidence, and verify the signature.

Run the demo Use the checklist