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SecureAuthSecureAuth
AI Agent Access

Identity For AI Agents, Not Just Humans.

Every AI agent needs a registered identity, scoped access, and an audit trail — the same as any other principal in your environment. SecureAuth is purpose-built for the agentic era.

Key capabilitiesAgent RegistryMCP AuthorizationToken ExchangePer-Action Audit
The next major security gap

AI Agents Are Being Deployed Without Identity Or Access Control

Enterprises are deploying AI agents into production workflows at speed — agents that call APIs, access databases, send emails, and execute code. Most are doing so with over-broad credentials, no audit trail, and no way to revoke access if an agent behaves unexpectedly. The MCP protocol has no built-in authorization layer.

The SecureAuth difference

Every Agent Gets An Identity, A Scope, And An Audit Trail

SecureAuth governs and secures access for AI agents through policy, identity, and authorization controls. Agent registry, MCP tool-level scope enforcement, token exchange with user scope ceiling, and real-time session monitoring — so you always know what agents are doing and can stop them instantly.

Where agent access control matters

Real Environments SecureAuth Is Built For

AI agents are everywhere — coding assistants, customer support bots, SOC automation, data pipelines. Each needs identity-aware access control that matches the security standards you apply to human users.

Developer AI tools

Scoped access for coding agents across dev infrastructure

Coding agents like GitHub Copilot and Cursor need access to repositories, CI/CD systems, and code review tools. Without identity-aware scoping, these agents operate with the developer's full permissions, including access to repos and systems they shouldn't touch.

SecureAuth approach

Each coding agent gets a registered identity with scoped access bounded by the developer's own permissions. Full audit trail of every AI-generated commit or action. Tool-level scope enforcement prevents agents from accessing repositories outside their assignment.

Developer-scopedCommit audit trailTool-level scope
Autonomous workflows

Machine identity for background agents and data pipelines

Backend agents running scheduled tasks like data pipelines, report generation, and cross-system sync often operate with embedded human credentials in scripts. These credentials don't expire, can't be scoped, and create a massive attack surface if the script is compromised.

SecureAuth approach

Background agents operate with registered machine identities, not human credentials embedded in scripts. Short-lived tokens with forced rotation, scoped to exactly the APIs the agent needs. Access revocable at any time from the admin console.

Machine identityShort-lived tokensInstant revocation
Customer-facing agents

Conversational agents bounded by customer authorization

Conversational agents accessing CRM, knowledge base, and ticketing systems on behalf of customers risk data leakage between customer accounts. Without per-customer scoping, an agent could inadvertently expose one customer's data to another.

SecureAuth approach

Agent permissions bounded by what the customer is authorized to see. Token exchange ensures the agent inherits the customer's authorization context. No data leakage between customer accounts, enforced at the authorization layer, not the application layer.

Customer-boundedZero data leakageAuthZ-layer enforcement
Security operations

SOC automation agents with read-only, auditable access

SOC automation agents need to query threat intelligence APIs, SIEM, and identity logs. But granting broad API access to an automated agent creates the risk that a compromised agent could modify systems, not just read them.

SecureAuth approach

SOC agents scoped to read-only access with explicit tool-level enforcement. Cannot modify systems even if the underlying API supports write operations. Every API call logged with agent ID and timestamp for complete forensic auditability.

Read-only enforcedTool-level policyForensic audit

Agent identity

Every Agent Registered, Scoped, And Monitored.

AI agents are principals in your environment, just like human users. They need registered identities, scoped credentials, tool-level authorization, and real-time monitoring. SecureAuth provides the full agent governance stack — from identity to audit trail.

1

Agent registry with unique identity per agent

Named, versioned, registered non-human principals. Every agent has its own identity, just like every human user. No shared credentials, no anonymous agents.

2

MCP server integration with tool-level scope

Authorization layer on top of MCP tool calls. Agent A can call CRM tools but not Finance APIs. Per-tool policy rules enforce different auth requirements per MCP tool.

3

Token exchange with parent user scope ceiling

Agents inherit the delegating user's authorization context via RFC 8693 token exchange. Agents can never exceed the delegating user's permissions, cryptographically enforced.

4

Real-time session monitoring and instant revocation

Live view of all active agent sessions. Kill any agent session immediately from the admin console. No waiting for token expiry when something goes wrong.

5

Anomaly detection on agent behavior

Unusual tool call patterns trigger alerts. An agent suddenly calling APIs outside its normal pattern is flagged before damage occurs. Compliance-ready agent activity export.

Agent Registry & Session Monitor
Coding Agent (Cursor)
Dev IdentityRepo ScopeCommit Audit
Analytics Agent
Machine IDRead-OnlyTTL: 1hr
Customer Support Bot
Customer ScopeCRM + KB OnlyNo Cross-Tenant
SOC Automation
Read-OnlySIEM + TI APIs
Data Sync Agent
Service AccountToken ExchangeCRM + ERP Only
100%Agent actions with identity and audit trail
0Agents with over-broad credentials
<1sTime to revoke any agent session

Industry solutions

Built For How Your Industry Works

Identity-aware AI agent governance for the sectors deploying agents at enterprise scale.

Technology & Engineering

Coding agents scoped to specific repositories and CI/CD pipelines. Every AI-generated commit tracked. Agent permissions bounded by the developer's own access level.

Financial Services

Trading bots and analytics agents with read-only market data access. Automated reporting agents with scoped tokens. Full audit trail for regulatory compliance.

Healthcare

Clinical decision support agents with patient-scoped data access. AI agents bounded by the clinician's authorization context. HIPAA-grade per-action audit logging.

Security Operations

SOC automation agents with read-only access to threat intelligence, SIEM, and identity logs. Cannot modify systems. Every query logged with agent ID for forensic auditability.

Customer Experience

Conversational AI agents bounded by customer authorization. CRM and knowledge base access scoped per customer. Zero cross-tenant data exposure.

Customer Story
“We couldn't give agents access to our production systems without knowing exactly what they were doing and being able to kill them immediately if something went wrong. Agent Authority gave us that control.”

CISO — Enterprise SaaS Platform

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