First-to-Market

AI Agent Governance

Control Your Autonomous AI Agents

Real-time monitoring and policy enforcement for autonomous AI agents. Detect prompt injections, control tool usage, and audit all AI activities with the industry's first comprehensive governance solution.

The Problem

Challenges that organizations face without proper solutions

!
No Visibility Into Agent Actions
AI agents operate autonomously with no central logging of prompts, tool invocations, or decisions made. Security teams are blind to what agents are doing.
!
Prompt Injection Attacks
Malicious prompts can hijack agent behavior, exfiltrate data, or bypass security controls. Current tools have no detection capability for these novel attacks.
!
Unauthorized Data Access
Agents with tool access can query databases, APIs, and file systems without proper authorization checks or rate limiting.
!
No Audit Trail for Compliance
Regulated industries require proof of AI governance. Without logging, organizations cannot demonstrate compliance with emerging AI regulations.

Key Capabilities

How AIRadars AI Agent Governance solves these challenges

Real-Time Monitoring
Capture every prompt, LLM call, tool invocation, and agent decision with sub-second latency.
Prompt Injection Detection
Multi-layer detection using pattern matching, ML classification, and semantic analysis for >95% accuracy.
Policy Engine
Define and enforce policies for tool access, data retrieval, rate limiting, and approval workflows.
Multi-Framework Support
Works with LangChain, LlamaIndex, OpenAI, Anthropic, and custom agent frameworks via SDK or proxy.
Anomaly Detection
Detect behavioral drift, unusual tool patterns, and goal misalignment through baseline analysis.
Immutable Audit Logs
Hash-chained audit trail of all agent activities for compliance and forensic investigation.

How It Works

Step-by-step implementation flow

1

Integrate

Add AIRadars to your agent with <10 lines of code via SDK callback, middleware, or transparent proxy.

2

Monitor

All agent events stream in real-time: prompts, LLM responses, tool calls, and decisions.

3

Evaluate

Each action is evaluated against your security policies and scanned for prompt injection attempts.

4

Enforce

Actions are allowed, denied, modified, or queued for human approval based on policy rules.

5

Audit

Complete audit trail maintained with tamper-evident logging for compliance reporting.

Key Benefits

Measurable outcomes and business value

First
Comprehensive AI agent governance solution
<100ms
Latency impact on agent operations
>95%
Prompt injection detection accuracy
0
External API calls required

Use Cases

Real-world scenarios and applications

Technology
Enterprise AI Assistants
Secure customer-facing chatbots and internal AI assistants with policy controls and monitoring.
Enterprise
Autonomous Agents
Govern AI agents that perform autonomous tasks like scheduling, research, or data analysis.
Financial Services
Regulated AI Applications
Demonstrate compliance with emerging AI regulations through comprehensive audit trails.
Healthcare
AI-Powered Workflows
Control AI agents integrated into business processes with approval workflows and oversight.

Ready to Get Started with AI Agent Governance?

Schedule a demo to see how AIRadars can transform your security operations with on-premise AI.