Continuous, multi-turn adversarial research that evolves. PentestLoop uses genetic algorithms to discover vulnerabilities in your AI agents across security, quality, and compliance.
The Problem
88% of organizations use AI. 57% have agents in production. But adaptive attacks bypass published defenses with 90%+ success rates.
Adaptive iterative attacks bypassed 12 published defenses in joint research by OpenAI, Anthropic, and Google DeepMind.
October 2025
Non-compliance fines reach €15 million or 3% of worldwide annual turnover. High-risk requirements enforceable August 2026.
EU AI Act
Over a third of real-world AI security incidents were caused by basic prompt attacks, some causing losses exceeding $100K.
Adversa AI 2025
Agreed to sell a $76K Tahoe for $1. 20M+ views. Recommended competitor vehicles.
AI fabricated a refund policy. Court ruled the company legally liable for its chatbot's claims.
A single crafted email triggered automatic data exfiltration with no user interaction. CVSS 9.3.
How It Works
Inspired by genetic algorithms. Attacks evolve, mutate, and get smarter with every generation.
Define attack objectives from OWASP taxonomies, custom policies, and domain-specific risks.
Autonomous agents engage your AI in multi-turn adversarial conversations using evolved strategies.
Judge every response across security, quality, and compliance dimensions with calibrated scoring.
Genetic algorithms mutate, crossover, and select the fittest attack strategies for the next generation.
The loop runs continuously. Attacks get smarter. Your defenses get stronger. Vulnerabilities surface before adversaries find them.
Three Dimensions
Competitors test for security vulnerabilities. PentestLoop tests for everything that can go wrong.
Prompt injection, data exfiltration, privilege escalation, system prompt leakage. The vulnerabilities that make headlines.
Hallucinations, off-brand behavior, persona breaks, knowledge gaps. The failures that lose customers silently.
Regulatory violations, policy boundary crossing, bias exploitation. The risks that trigger audits and fines.
Why PentestLoop
Existing tools test models. PentestLoop tests agents. There's a critical difference.
Misses everything that matters
How real attacks actually work
Not enterprise-ready
Attack Surface
Mapped to OWASP LLM Top 10, OWASP Agentic AI Top 10, and MITRE ATLAS taxonomies.
Direct/indirect prompt injection, jailbreaking, multi-turn social engineering, encoding obfuscation attacks.
System prompt leakage, training data extraction, PII exfiltration, connected system data theft.
Excessive agency exploitation, tool manipulation, privilege escalation, commitment fabrication.
Hallucination exploitation, off-brand behavior, persona breaking, knowledge boundary failures.
Resource exhaustion, agent-to-agent manipulation, supply chain poisoning, MCP exploits.
Policy boundary crossing, regulatory violations (HIPAA, GDPR), discrimination/bias exploitation.
Market Validation
AI security is consolidating fast. Major platforms are paying hundreds of millions to add these capabilities.
AI red-teaming market (2025)
CAGR through 2035
Projected market by 2035
Adaptive attack success rate
Join the early access program. Be first to continuously red-team your AI agents before your adversaries do.