First venture into AI security — Early-stage with Real Scanning, Real Blocking, Real Data!

Stop Risky Agent Behavior Before It Happens

PRAQTOR X discovers agents, maps activity in an Agent Behavior Matrix, and enforces controls through a Policy Engine to prevent exfiltration, unsafe tool use, and permission abuse—before execution.

12 Security Domains • Hundreds of Policies • Pre-Execution Enforcement

Security Architecture

Where PRAQTOR X Fits in the Security Stack

AI agents operate inside your perimeter—after WAF, IAM, and network policies have already approved them. PRAQTOR X adds the missing layer.

External Perimeter

🔥 WAF

🌐 CDN

🛡️ DDoS Protection

✓ Request passes through

↓

Identity & Access

🔐 IAM

🎫 OAuth/SSO

🔑 API Keys

✓ Agent authenticated

↓

Network Security

🔒 VPC

📋 Security Groups

🚧 Network Policies

✓ Traffic allowed

↓ Agent is now INSIDE

PRAQTOR X — Agent Behavior Control

🔍 Discovery

📊 Behavior Matrix

⚙️ Policy Engine

🚫 Pre-Exec Block

⚡ Governs what agents DO

↓

LLM / AI Services

🧠 OpenAI

☁️ Azure AI

🪨 Bedrock

Platform Features

Enterprise-Grade Agent Governance

Everything you need to discover, monitor, and control AI agents across your organization.

📋

440 Security Policies

Every rule maps to OWASP, NIST, CWE, and SOC2 compliance frameworks. Expand any policy to see detection criteria, vulnerable vs. fixed code examples, and remediation steps.

Security Policies with OWASP, NIST, and CWE Compliance Mapping

🔗

Multi-Cloud Connected Sources

Connect Azure DevOps, AWS CodeCommit, GitHub, Bitbucket, and more — scan repositories across every platform from a single dashboard. Select repos individually or scan all at once.

Multi-Cloud Repository Connections - Azure, AWS, GitHub, Bitbucket

🔍

Deep Detection Analysis

Every detected issue shows the rule ID, severity, and actual code evidence from your agents. 88 detection rules cover credentials, injection surfaces, unsafe execution, and more.

Detection Analysis - Rule Findings with Code Evidence

🛡️

Runtime Container Testing

Spin up ephemeral containers on Azure to test agents against the runtime proxy. Select platform, agent, and test suite — enforcement runs in real infrastructure, not simulations.

The Problem

AI Agents Operate Inside Your Perimeter

Traditional security tools don't see agent behavior. Your WAF, IAM, and network policies passed them through—now they're making autonomous decisions.

🎭

Shadow Agents

Developers ship AI agents without security review. You don't know which agents exist, what frameworks they use, or what permissions they have.

🔓

Over-Privileged Access

Agents inherit service account permissions. They can access databases, call APIs, and move data—often beyond their intended scope.

⚡

Autonomous Decisions

Unlike scripts, agents interpret untrusted content as instructions and orchestrate tools themselves. Traditional security can't govern this.

The Solution

Pre-Execution Behavior Governance

PRAQTOR X intercepts agent requests before they reach the LLM, evaluates them against 310 behavior policies, and blocks or pauses dangerous actions.

Discover, Analyze, Enforce

A single platform for agent security—from discovering agents in your code to enforcing policies at runtime.

✓ Agent Discovery: Scan GitHub repos for LangChain, CrewAI, AutoGen, MCP, and OpenAI agents
✓ Behavior Matrix: Map agents against 12 security domains with risk scoring
✓ Pre-Execution Blocking: Intercept and evaluate requests before LLM processing
✓ Human-in-the-Loop: PAUSE high-risk requests for manual approval
✓ Audit Proofs: Cryptographic evidence bundles for compliance

🤖

Agent Request

Agent initiates tool call or LLM request

↓

🛡️

PRAQTOR X Proxy

Request intercepted before execution

↓

📋

Policy Evaluation

310 behavior policies checked

↓

🚫

Block / Pause / Allow

Decision + audit proof generated

Why PRAQTOR X

Content Scanning vs. Behavior Governance

Most AI security products scan prompt content. PRAQTOR X governs agent actions—tool calls, data flows, and permission scope.

Content Scanners

Common Approach

📝 Scan prompt text for patterns
🚫 Block known jailbreaks
🔍 Detect PII in inputs/outputs
⚠️ Filter toxic content

PRAQTOR X

Future Vision

🔧 Validate tool calls & parameters
📊 Track data flow patterns
🎯 Detect scope creep & drift
✋ Human-in-the-loop approvals
🔍 Discover agents in code
📜 Cryptographic audit proofs