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Agent Authority: the runtime control plane for AI agents

For securing and governing AI agent access to enterprise systems: least-privilege access, data protection, one governed MCP gateway, identity and accountability, and cost visibility.

Mahnaz Majeed3 min read
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For securing and governing AI agent access to enterprise systems.

AI agents are moving out of demos and into real work, they are writing code, moving data, taking action across your systems. But, once an agent can act on your tools, who makes sure it only does what it should?

Agent Authority is the runtime control plane and governance layer that allows you to deploy agents securely across your organization.

01 Least-privilege Access

Give every agent exactly the access it needs, and nothing more

Every tool call is authorized in real time against context-aware rules you write in plain language, so an agent gets only what it should, such as read-only access to Jira, and the impact of any single agent stays contained.

Rules take effect without a code deploy. When a call is blocked, the response names the rule that made the decision, so your reviewers can trust it and act on it.

02 Data Protection

Keep sensitive data from leaving through AI tool calls

Sensitive content is inspected and redacted from tool responses at the gateway before the model ever sees it, so PII and secrets stay protected while the agent still does its job.

An optional semantic filter catches sensitive information that fixed patterns are missing. Every redaction is written to the audit trail with the policy that triggered it, turning protection into evidence you can show.

03 One Governed Enterprise MCP Gateway

An Enterprise MCP gateway for all the AI tools your teams use

A browsable catalog of 30+ integrations, including GitHub, Microsoft 365, Confluence, Claude, ChatGPT, Salesforce, Notion, and Stripe, routes every agent through a single control point.

Connections come online in minutes with automatic sign-in on first use. You can reuse the enterprise accounts and contracts you already trust instead of approving new credentials. Everything is governed and audited from the first call.

04 Identity & Accountability

Prove which agent did what and why

Every agent carries its own identity, bound to a named human owner and federated from your existing identity provider, so there are no shared service accounts.

A tamper-evident audit trail records both allowed and denied calls with field-level before-and-after detail and the deciding policy. Events can stream into Splunk or your SOC, so agent activity lands where your team already looks.

05 Cost Visibility

See what your AI subscription tools are costing

Cost and token usage are attributed to identity and model across providers, including Claude Code and Codex, so you can see spend per team and per person.

Catch the one session using far more than the norm, and steer spend instead of reading an opaque platform bill.


Agent Authority turns “we’re not sure we can allow that” into a governed yes, with access scoped, data protected, every action accountable, and spend in view. Bring one agent and one tool, and we’ll stand up governed, audited access with you in a single working session.

Talk to the team → agentic@secureauth.com

Send a feature idea → agentic_ideas@secureauth.com

Bring one agent and one tool.

Tell us the agent you want to govern and the system you want it to reach, and we'll stand up governed, audited access with you in a single working session.

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