An agent is only as useful as what it can act on: a database, a SaaS API, an internal service, an MCP server. And every one of those actions crosses the same new seam in your environment, the connection between the agent and the tool. Which raises the question that now sits at the center of enterprise AI: once an agent can act on your systems, who makes sure it does only what it should?
Agent Authority exists to enforce that boundary. It is a runtime control plane and governance layer for deploying agents securely across an organization: a broker inline at the boundary, with an identity and policy layer above it.
01 Least-privilege Access
Give every agent exactly the access it needs, and nothing more
Least-privilege for every agent, enforced in real time with plain-language rules, instant updates, and every blocked call explains itself. So, an agent gets access to only what it should, such as read-only access to Jira, and the impact of any single agent stays contained. Otherwise, an agent that only needed to read Jira tickets can suddenly delete repos, exfiltrate mail, or modify records. Agent Authority adds guardrails that protect your corporate data from those unauthorized agent actions.
02 Data Protection
Keep sensitive data from leaving through AI tool calls
Agents work by moving data. They pull a customer record (PII), read a ticket, fetch a document, and pass what they find into model prompts and on to other tools. Each hop is a place where sensitive data can leave your systems. Masking at the gateway stops a leak before it happens, and every masking event 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
AI adoption stops stalling on approvals. One gateway connects your teams to 30+ tools through the accounts you already trust.
Instead of a new login, integration, and approval for each tool, every agent routes through one gateway with a browsable catalog of 30+ integrations, including GitHub, Microsoft 365, Confluence, Claude, ChatGPT, Salesforce, Notion, and Stripe. Users sign in automatically on first use with the enterprise accounts and contracts you already trust, and every call is governed and audited.
04 Identity & Accountability
Prove which agent did what and why
When something goes wrong, you know exactly which agent did it, who owns it, and why, with proof your auditors will accept. Every agent has its own identity, tied to a named person through your existing identity provider, without shared service accounts.
You get a complete, trustworthy record of everything every agent did and why, delivered where your security team already works (Splunk or your SOC).
05 Cost Visibility
See what your AI subscription tools are costing
AI is the fastest-growing line item in most budgets, and the easiest to lose track of. Anyone can start a subscription or burn through usage, and the bill arrives weeks later with no explanation of where the money went.
Agent Authority lets you see AI spend broken down by team and by person, across all the AI tools your company uses. If someone’s usage suddenly spikes, you catch it that day, not a month later on the invoice. Catch the outlier sessions before they run up the bill, and shape spend in real time rather than reconstructing it from an opaque invoice.
Get visibility and manage your AI risk
Agent Authority puts controls on that boundary without slowing teams down. Every agent has a named owner. Every action is checked against policy. Every decision is logged and auditable.
Learn more at docs.secureauth.com/ai