MitiAI|by Mitigate Security
34+ AI agents·45+ security tools·Human-in-the-loop

Security testing, automated

Tell MitiAI what to test in plain English. Our AI agents handle reconnaissance, vulnerability discovery, and reporting autonomously — while you review, approve, and stay in full control of every action.

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Subdomain Discovery
Vulnerability Scanning
API Mapping
JS Analysis
Cloud Recon
Secret Detection
Auth Testing
SSRF Hunting
Passive Recon
Active Scanning
Report Generation
Payload Crafting
Subdomain Discovery
Vulnerability Scanning
API Mapping
JS Analysis
Cloud Recon
Secret Detection
Auth Testing
SSRF Hunting
Passive Recon
Active Scanning
Report Generation
Payload Crafting
Auth Testing
SSRF Hunting
Passive Recon
Active Scanning
Report Generation
Payload Crafting
Auth Testing
SSRF Hunting
Passive Recon
Active Scanning
Report Generation
Payload Crafting
Subdomain Discovery
Vulnerability Scanning
API Mapping
JS Analysis
Cloud Recon
Secret Detection
Subdomain Discovery
Vulnerability Scanning
API Mapping
JS Analysis
Cloud Recon
Secret Detection
Two Modes, One Platform

Choose how you engage

MitiAI offers two distinct operational modes — use Star for rapid, chat-driven assessments or Sentinel for continuous, dashboard-managed security operations.

Star Agent

Conversational Security Testing

Describe your objective in natural language. Star uses a ReACT reasoning loop — forming hypotheses, selecting specialist agents, executing tests, and iterating on findings — the way a senior pentester thinks, not the way a scanner runs.

Hypothesis-driven iterative reasoning
Auto-selects agents based on target context
Real-time event streaming with cost tracking
Multi-model support with automatic fallback

> “Run a full security assessment on api.example.com — focus on auth bypass and IDOR vulnerabilities”

Sentinel Dashboard

Continuous Security Operations

Manage engagements, track vulnerabilities, and run scheduled scans from a centralized dashboard. Sentinel gives you persistent visibility across all targets — with semantic search across findings, attack chain mapping, and automated enrichment rules.

Engagement & vulnerability management
Scheduled recurring scans with cron automation
Attack chain visualization across findings
Semantic intelligence search with vector memory
Engagements
Vulnerabilities
Intelligence

How it works

From target description to validated findings in four steps. No configuration files, no scan templates.

01

Describe your target

Type a natural language prompt — a URL, scope definition, or testing objective. Import directly from HackerOne or paste an asset list.

02

Agents assemble

MitiAI analyzes your request and selects the optimal combination of specialist agents — recon, scanning, fuzzing, analysis — matched to your target.

03

Autonomous testing with oversight

Agents work in parallel: discovering subdomains, fingerprinting tech stacks, probing endpoints, and validating findings. You approve each phase before execution.

04

Validated, deduplicated results

Findings are CVSS-scored, deduplicated, and validated by an LLM judge. You get structured reports with reproduction steps and remediation guidance — not raw scanner noise.

Built for professionals

Not another vulnerability scanner. MitiAI is a reasoning engine backed by professional-grade tooling.

4-Layer Guardrails

Input injection detection, output validation, command blocking, and encoding guards.

5 Orchestration Modes

Single, hierarchical, chain, swarm, and recursive patterns for every engagement type.

HackerOne Integration

Import scope and sync reports directly from your H1 programs. Export to Burp Suite.

Multi-Provider LLM

50+ models across OpenAI, Anthropic, Gemini, Groq, Ollama. Auto-fallback routing.