Know What Your Agent Does Before It Does It

Your AI agent makes thousands of decisions you can't predict. Security teams won't approve what they can't understand. Build behavioral baselines that prove your agent is safe to ship.

The behavioral profile you build here becomes your evidence for security approval, your baseline for production monitoring, and your confidence to ship.

The Security Reality

The Unpredictability Problem

Traditional software passes security review once. AI agents are fundamentally different. The same code can produce unpredictable behaviors every time it runs.

Silent Model Updates

OpenAI ships updates weekly. Your approved agent's behavior changes without any code change on your end.

Prompt Injection Risks

A single malicious input can hijack your agent's behavior. Traditional testing can't catch what it can't predict.

Distribution Shift

Production data looks different from testing. Your agent's behavior changes as user patterns evolve.

Compliance Gap

The agent you approved isn't the agent running in production. Auditors ask for proof you can't provide.

Without Profiling
No evidence for security review
Can't prove compliance
Incidents discovered by users

“Security rejected our agent. They wanted evidence of safe behavior. We had nothing but test cases that passed sometimes.”

With Profiling
Documented behavioral baseline
Automated compliance evidence
Real-time drift detection

“We showed security the behavioral profile, the risk assessment, and the monitoring alerts. Approved in one meeting.

Zero-Friction Integration

A lightweight proxy that sits between your agent and the LLM API. No SDK, no code changes, no performance overhead. Full observability in under 60 seconds.

100% Local • No data egress • SOC 2 ready architecture
Start the Proxy
# One command to start (OpenAI)
$uvx agent-inspector openai
Proxy running on localhost:4000
Dashboard at localhost:7100
Forwarding to api.openai.com
$
# Or for Anthropic/Claude
$uvx agent-inspector anthropic
$
# Point your agent to the proxy
base_url="http://localhost:4000"
$
The Foundation

One Baseline.
Continuous Assurance.

Traditional security reviews happen once. But AI agent behavior changes continuously, from model updates, prompt changes, and evolving user patterns. You need continuous assurance.

The behavioral profile you build becomes your cryptographic source of truth. It's the evidence security teams need, the baseline production monitoring requires, and the foundation for continuous compliance.

Ship 10x Faster
Transform months of manual testing into days. Automated behavioral validation replaces "hope it works" with "we can prove it works."
Pass Security Review First Time
Give security teams the evidence they need: behavioral baselines, risk assessments, audit trails. Data-driven approval, not opinion-based delays.
Zero-Day Drift Detection
Instant alerts when behavior changes, from model updates, prompt changes, or data shifts. Catch issues before users report them.
Profiling
Clustering
Re-approval
Anomalies
ML-powered analysisEnterprise-gradeOWASP aligned

Complete Behavioral Visibility

Six capabilities that transform AI agent uncertainty into documented, auditable, enforceable behavior.

Attack Surface Analysis

Map every tool permission, API endpoint, and data flow. Identify prompt injection vectors and excessive agency risks before they become incidents. OWASP LLM01-aligned.

Behavioral Fingerprinting

Build a cryptographic baseline of each agent's decision patterns, tool sequences, and response distributions. Your evidence for what "approved behavior" actually means.

Real-time Enforcement

Active policy enforcement at runtime. Block unauthorized tool calls, flag sensitive data exposure, prevent prompt injection attempts. Control, not just visibility.

Session Clustering & Baselining

ML-powered behavioral clustering groups sessions by similarity. Automatically define "normal" from your data. Spot statistical outliers in real-time.

Drift & Anomaly Detection

Detect gradual behavioral drift from model updates and sudden anomalies from prompt changes. Configurable thresholds, instant alerts. Nothing slips through unnoticed.

Re-approval Workflows

Significant behavioral changes automatically trigger re-approval gates. Maintain continuous compliance with documented evidence for every transition.

Engineering Velocity

Build Better Agents, Faster

The same observability that powers security also accelerates development. Debug faster, optimize costs, and ship with data-driven confidence.

Session Replay & Root Cause

Full trace replay with step-by-step execution analysis. See exactly what happened: every LLM call, tool invocation, and decision branch. Cut incident resolution from hours to minutes.

A/B Testing & Regression Detection

Compare behavioral distributions across prompts, models, and versions. Detect regressions before they hit production. Data-driven prompt engineering that actually works.

Cost Intelligence

Granular token attribution per session, per tool, per user segment. Identify expensive patterns early. A 10% optimization at 100 users saves $100K+ at scale.

Latency Profiling

Trace-level performance analysis. Identify slow tool calls, optimize parallel execution, reduce P95 latency. Build agents users actually want to use.

Start Building Your Behavioral Baseline

Join teams who ship AI agents with confidence. From behavioral profiling to security approval in days, not months.