FOR AI AGENTS

Secure autonomous AI agents at the network layer

Govern AI agents across APIs, data, and systems with real-time policy control.

AI agents changed the security model

What agents do

AI agents don’t just answer questions, they:

Authenticate into SaaS tools

Access internal databases

Execute API calls

Modify records

Chain tool actions across systems

Create code at the direction of external systems

As agents scale, risk scales

Risks include but are not limited to:

Excessive permissions

Data leakage across integrations

Unintended API actions

Prompt injection and tool misuse

Unmonitored external connections

Governance and Inference APIs built for agent control

SurePath AI ensures agents operate within defined guardrails.

Our Governance and Inference APIs ensure agents operate within defined guardrails. Agents authenticate to enterprise systems through managed API key connectors or OAuth flows.

Agents stay autonomous. You stay in control.

Security teams can:

Restrict access to approved models and systems

Route requests between public and private models

Define allowed actions per integration

Enforce least-privilege access

Inspect prompts before execution

Validate responses before delivery

Detect malicious instructions

Centralize audit logging

Secure your AI agents in real time

This way, agents remain autonomous but not unsupervised.

Georgia United Credit Union
Schellman
Caylent
Divine Savior Academy
vRad
Thresholds
C&R Software
Georgia United Credit Union
Schellman
Caylent
Divine Savior Academy
vRad
Thresholds
C&R Software
Georgia United Credit Union
Schellman
Caylent
Divine Savior Academy
vRad
Thresholds
C&R Software