Zero-trust governance for AI agents.
Every AI agent gets a unique cryptographic identity, real-time policy enforcement, tamper-proof audit trails, and instant quarantine — every agent gets a risk behavioural profile.
What happens when AI agents operate without governance.
As enterprises deploy autonomous AI agents across critical business functions, these agents access the most sensitive systems in your organization — with no identity, no authorization, and no audit trail.
Uncontrolled risk
No transaction-level authorization
Agents process without limits
AI agents processing payments and trades with no transaction-level authorization or amount limits. A single agent can execute millions in transactions with no guardrails.
Compliance gap
No audit trail to a human
Regulatory violation by default
No audit trail linking autonomous AI actions back to a responsible human — a violation under SOX, OCC guidance, and the EU AI Act. Examiners are already asking questions.
Shadow AI
No visibility or approval process
Shadow agents multiply silently
Business units deploy AI agents with no security team visibility or approval. You can't govern what you can't see — and shadow agents are proliferating across the enterprise.
Incident gap
No ability to quarantine
Hours of exposure before detection
No ability to quarantine a rogue agent in real-time. A compromised agent could exfiltrate data, execute unauthorized transactions, or escalate privileges for hours before anyone notices.
Agent processes $5,000 invoice
Within amount limit, authorized API, business hours, finance department user. Transaction proceeds immediately.
Policy: within all authorized parameters
Agent attempts $500K invoice
Exceeds $10K threshold. Agent Authority automatically routes to senior finance manager for human approval before proceeding.
Policy: exceeds amount threshold — human approval required
Agent processes 10x normal volume
Behavioral anomaly detected. Sidecar switches to deny-all within seconds. Alert sent to SOC. Agent isolated pending investigation.
Policy: behavioral anomaly — instant quarantine
Measurable impact from day one.
Agent Authority maps every capability to a security, compliance, or operational outcome your leadership team already cares about.
Eliminate unauthorized agent actions
Every API call and MCP tool invocation is authorized against fine-grained policies with amount caps, time windows, and tool whitelists — in real time.
90%+ reduction in unauthorized actionsQuarantine in seconds, not hours
Three-tier incident response — sidecar deny-all, certificate revocation, or graduated scope reduction — contains compromised agents immediately.
Minutes vs. hours100% audit coverage
Cryptographically signed logs of every agent action — who delegated, what was done, what policy applied. Examiner-ready from day one.
Complete audit trailDeploy anywhere
Full stack behind your firewall. Air-gapped compatible. All agent telemetry stays in your network — no customer data leaves your perimeter.
On-prem, cloud, or hybridZero developer friction
Security teams deploy and manage. Developers change nothing. The sidecar auto-injects alongside agents in K8s, VMs, Lambda, or Docker.
0 lines of code changedBehavioral anomaly detection
Baseline learning per agent, drift scoring, and anomaly detection catches compromised agents and unusual transaction patterns before damage is done.
ML-powered analyticsHow Agent Authority governs AI agents.
Five capabilities that extend zero-trust security from human identities to every AI agent in your enterprise.
Pillar 01
Cryptographic agent identity
Every agent gets a unique, verifiable identity
Every AI agent receives a unique cryptographic identity with X.509 certificates that auto-rotate. Hardware-rooted, mTLS-enforced — no agent can impersonate another or operate anonymously.
- Workload identity URIs — unique, verifiable identity per agent instance
- X.509 certificates — with short TTL and automatic rotation
- mTLS enforcement — all agent communication encrypted and authenticated
- OAuth token exchange — standard protocol integration
Enforcement Gateway:
the MicroPerimeter for AI agents.
Sidecar architecture — zero code changes to agents or applications.
The Enforcement Gateway deploys as a lightweight sidecar alongside every AI agent. It intercepts all outbound MCP and API traffic, validates agent identity via mTLS, enforces policy in sub-millisecond time, and feeds telemetry to the behavioral analytics pipeline.
- <1ms latency — policy enforcement with no impact on transaction throughput
- 10MB footprint — negligible infrastructure overhead per agent
- MCP protocol aware — native parsing of MCP tool invocations and parameters
- K8s auto-injection — Operator detects new agents and injects sidecars automatically
- 99.99% availability — stateless sidecars with cached local policy
Per-transaction policy enforcement · Sub-millisecond
Agent Authority vs. traditional IAM.
Traditional IAM was designed for human users. AI agents require a fundamentally different security model.
| Capability | Agent Authority | Traditional IAM |
|---|---|---|
| Service account management | ||
| API gateway rate limiting | ||
| Per-agent cryptographic identity (mTLS) | ||
| Transaction-level authorization (amount caps, time windows) | ||
| MCP protocol-aware enforcement | ||
| Tamper-proof audit trail with delegation chains | ||
| Behavioral anomaly detection per agent | ||
| Instant quarantine (deny-all / cert revocation) | ||
| Zero code changes (sidecar deployment) | ||
| Agent registry with type, owner, scope metadata |
Service account management
API gateway rate limiting
Per-agent cryptographic identity (mTLS)
Transaction-level authorization (amount caps, time windows)
MCP protocol-aware enforcement
Tamper-proof audit trail with delegation chains
Behavioral anomaly detection per agent
Instant quarantine (deny-all / cert revocation)
Zero code changes (sidecar deployment)
Agent registry with type, owner, scope metadata
Enterprise use cases.
Agent Authority governs AI agents across every critical business function — with controls tailored to each domain's risk profile.
Use case 01
Trading & payments
Govern AI agents executing trades, processing payments, and managing positions. Transaction-level authorization with amount caps, time-of-day restrictions, and dual-approval escalation for high-value actions.
Use case 02
Lending & underwriting
Ensure AI-driven lending decisions comply with fair lending regulations. Policy-enforced decision boundaries, full delegation chain tracking, and explainable decision audit for regulatory reviews.
Use case 03
Client advisory & wealth management
Protect client PII with data classification-aware policies. Read-only by default, escalation for account modifications, and comprehensive PII access logging for fiduciary compliance.
Use case 04
Enterprise LLM & co-pilot agents
Discover and govern shadow AI agents across the enterprise. Agent registry with OAuth-scoped access, behavioral anomaly detection, and instant quarantine for agents that exceed their authorized scope.
Common questions.
Quick answers about agentic access control and AI agent governance.
Agent Authority is SecureAuth's zero-trust governance platform for AI agents. It provides cryptographic identity, real-time policy enforcement, tamper-proof audit trails, instant quarantine, and behavioral analytics — every agent in your enterprise gets a risk behavioural profile.