“Routeware is scaling AI across our business with the governance to match. When SecureAuth showed us Agent Authority, it was an easy decision to move forward. The visibility and control it gives us are exactly what we need to move confidently in the AI era.”
THE CONTINUOUS AUTHORITY PLATFORM
Make your enterprise agent-ready
Discover agents in real time, decide what they access, and enforce policies to manage your business risk.
Explore Agent AuthorityTrusted by global enterprises
The Problem
AI adoption is already compounding your risk
An agent gets access once, and every action after that runs across your applications, your data, and your workflows.
- What do your agents reach?
AI agents
Some are delegated by an employee, some run as service accounts, some act entirely on their own.
- What can they do?
Unbounded reach
Agents carry full user and system permissions in long-lived credentials. The access persists beyond the task.
Ungoverned action
There is no check before agents act. They can read sensitive data or move money without being inspected.
Unchecked spend
Spend arrives as multiple invoices, with no breakdown of which agents spent it or what tasks it paid for.
- What does it cost you?
Exposed data
Scattered evidence
Surprise bills
You can list every agent and still not know what it did, or control what it may do next.
Introducing
Agent Authority
Bring discovery, delegated access, and runtime policy enforcement under one control plane.
Agent & NHI Discovery
See which agents are operating, the identities they use, and the tools they can reach.
Delegated access
Trace who authorized an agent, how far that authority reaches, and where it has been used.
Runtime enforcement
Evaluate every agent action against policy, risk, and context, before the agent can act.
Control every action
- Allow
- Deny
- Redact
- Throttle
- Escalate
- Human approval
The Platform
Agent Authority end to end

1 / 6Agent topology
The whole estate in one graph
Teams, the agents they run, the policies that decide their calls, and the MCP servers they reach.

2 / 6Agent reach
What agents actually reach
Which identities touch which data classes, and where the sensitive calls land.

3 / 6Access policies
Policy you can read
Allow or deny by agent, user, group, tool, and condition, with the blast radius shown before you save.

4 / 6Data redaction
Redaction before data leaves
PII, PHI, and MNPI caught in line on the response path, by pattern or by judge.

5 / 6Cost and adoption
An owner for agent spend
Cost and seat adoption per team, attributed to the agents that drive them.

6 / 6Governance
One place to answer for all of it
Requests, blocks, anomalies, and open findings across the whole estate.
Slide 1 of 6: The whole estate in one graph
How it works
Turn policy into a decision at the point of action
The visibility layer
See
Every agent, service account, and instance in your systems, including unregistered ones.
Every non-human identity: agent, service account, instance.
The Observability layer
Understand
Every delegation chain, showing who authorized each agent, and a trail of autonomous access to corporate data.
Behavioral baselines for every action, reach, and cost.
The decision layer
Control
Every action agents take, decided in real time before they can do anything.
One decision per action, in milliseconds.
Integrations
Integrate seamlessly
Your identity provider stays where it is. Your agents keep their vendors. We sit on the call between them. No code changes, no model lock-in.
Identity Providers
SecureAuth, Okta, Ping, Microsoft Entra ID & more. Keep the one you have
Agent Vendors & Models
Claude, ChatGPT, Gemini, Microsoft Copilot, Cursor, Replit & in-house agents
Enterprise Apps & Data
Salesforce, DocuSign, Slack, Microsoft 365, GitHub, Snowflake & more
SIEM, SOAR & XDR
Splunk, CrowdStrike, Datadog, Microsoft Sentinel & more
Connected on secure standards
- OAuth 2.1
- OpenID Connect
- SPIFFE / SVID
- mTLS
- Token exchange
- Model Context Protocol
Business outcomes
Move AI into production with clear boundaries
Enable adoption
Give teams a defined path to deploy agents with appropriate access and oversight.
Reduce exposure
Limit the systems, data, and actions available to each agent.
Manage spend
Attribute usage and apply cost policies to help keep agent activity within budget.
Simplify investigations
Follow the chain from delegated authority to action and outcome.
Customers
Proof from teams already running it
“In financial services, when you operate authentication at the scale we do, stability is a requirement. SecureAuth runs reliably for our platform serving millions of members across 70+ financial institutions. SecureAuth’s platform is very stable and that is critical for our business operations and trust we have with our client base.”
“One of the things that attracted us to SecureAuth is the ability to use different levels of authentication or different methods of authentication: we could do email authentication, mobile phone authentication, SMS authentication, telephone call authentication, and token authentication.”
Resources
The standards this runs on
White paper
Agent 101
How OAuth 2.1 and OpenID Connect give an agent a machine identity, and why the agent’s token flows cannot look like a human login.
White paper
Why an MCP Gateway is not enough
A gateway can check a token, but only your IdP should issue one: wire MCP as an OAuth resource server, not its own mini-IdP.
Series
Zero Trust for AI
From the Architecting Identity for Agentic AI series: what Zero Trust has to mean once the actor asking for access is an agent.
Series
Get your API foundation right for exposing to Agents
From the Architecting Identity for Agentic AI series: the standards work (scopes, token exchange, fine-grained authorization) your APIs need before autonomous callers arrive.
