Buyer's guide · 2026

AI agent governance, compared honestly.

A guide to how the options in this category actually differ. Written by TrajeXY, which makes one of them. Comparison pages usually pretend the writer has no stake. We have one, and we will tell you where it points. If another option is the better fit for you, we will say so. If none of us is right yet, we will say that too.

The landscape

What each approach actually is.

Five ways teams try to control what AI agents do. They are not substitutes for one another. Most serious deployments will end up using more than one.

	Signet (TrajeXY)	Model-based guardrails	Microsoft	Identity platforms	Cloud posture tools
Examples	Signet	The model vendor's own safeguards (for example a Claude Code or OpenAI safety classifier)	Entra Agent ID, the open-source Agent Governance Toolkit	Okta Cross App Access, CyberArk, SailPoint	Zenity, Straiker, Noma and similar
Core job	Decide and enforce every agent action before it runs	Make the model more likely to refuse a bad action	Give agents an identity and native Azure governance	Govern non-human identities and their access across the estate	Discover, monitor and score agents, mostly from the cloud
How it decides	Deterministic. Set logic and argument provenance. No model in the decision.	A model judging a model. Probabilistic by design.	Policy engine plus identity; approach varies by component	Policy and access rules at the identity layer	Detection and policy, often model-assisted
Where it runs	Local, on your machine, inside your perimeter. Self-custody.	Inside the vendor's model service	Azure and the Microsoft stack	The identity provider's cloud	SaaS, your agents reporting out to it
The record	Tamper-evident, hash-chained ledger you own	Vendor logs	Microsoft audit logs	Identity and access logs	The vendor's dashboard and logs
Model and platform	Model-agnostic. Swap the model, the governance and the record stay.	Tied to that vendor's model	Strongest inside Microsoft	Model-agnostic at the identity layer	Varies
Who it is really for	Regulated and high-stakes teams that need to prove what an agent did and could not do	Teams who accept the vendor's residual risk	Microsoft-first shops	Enterprises standardizing agent identity broadly	Teams who want visibility and posture first

Capabilities change quickly. The table is directional as of October 2026 and should be verified on each vendor's own site before deciding.

When to choose someone else

Where Signet is not the right answer.

We would rather you pick the right tool than the wrong one with our name on it.

You are all-in on Microsoft

Use Entra and the toolkit

If your agents live in Azure and you want governance native to that stack, Microsoft's Entra Agent ID and its Agent Governance Toolkit are built for exactly that. We run alongside any stack, but we do not replace a platform-native identity.

You need broad identity governance

Use Okta or CyberArk

If the job is to standardize identity and access for every non-human actor across the whole enterprise, a dedicated identity platform covers more surface than we do. Signet governs the action; they govern the identity estate.

You want a dashboard first

Use a posture tool

If what you need right now is to discover which agents exist and watch them from a cloud console, a posture and detection platform gets you there faster. It reports. It does not deterministically stop the action at the boundary. Many teams run both.

You accept the model's own guardrails

Use what ships in the box

If your risk tolerance allows it, the model vendor's built-in safeguards may be enough. Just know the vendors say so themselves: a model-based gate reduces risk, it does not eliminate it, and they recommend human review on high-stakes actions.

Straight talk

What we get right, and what we do not.

Where Signet is differentiated

It enforces, deterministically, on a record you own

No model in the decision, so the same action gets the same verdict every time. It runs on your machine, model-agnostic, in microseconds, and seals every decision to a tamper-evident ledger. If you have to prove to an auditor or a regulator what an agent did and what it could not do, that is what we are built for.

Where others do it better

Breadth, and native platform fit

Identity platforms cover more of the enterprise identity estate. Microsoft fits its own stack more natively. Posture tools give you a broader cloud dashboard sooner. If one of those is your first priority, choose it.

Where none of us is right yet

One platform for everything

If you want a single product that does identity, posture, deterministic runtime enforcement, and tamper-evident audit across every agent and cloud, it does not exist. Anyone claiming to be it is selling the roadmap. Pick the one that nails your first priority, and stack a second where it matters.