Securing the AI-Powered Future
AUTOMATED SECURITY TESTING · SHIP WITH CONFIDENCE · FIND VULNS BEFORE ATTACKERS DO
The Problem
Large language models are everywhere now — customer support chatbots, internal knowledge assistants, code generators, agents with tool access. But security testing hasn't kept up. Most teams have no idea whether their AI deployments are vulnerable to jailbreaks, prompt injection, data exfiltration, or tool abuse.
Manual red teaming is expensive, inconsistent, and can't keep pace with weekly model updates. Traditional application security tools weren't designed for the unique attack surfaces of LLMs — multi-turn conversation exploitation, system prompt extraction, multilingual evasion, and more.
The result? Companies ship AI products hoping they're safe. They're not. Our public leaderboard demonstrates that even the most advanced models from leading AI labs have meaningful security gaps when faced with systematic, automated adversarial testing.
What We Do
Comprehensive, automated LLM security testing
58,000+ Attack Techniques
From DAN jailbreaks to memory drift and plan injection, our engine tests every angle across 15 categories — including 6 agentic AI threat categories.
15 Security Categories
Jailbreaks, prompt injection, evasion, exfiltration, tool injection, safety testing, agentic threats, and more — mapped to OWASP, MITRE, and NIST.
4 Scan Modes
Test web UIs via browser automation, call API endpoints directly, red-team AI agents with tool access, or benchmark raw models against our full attack suite.
By the Numbers
Attack techniques in database
Attack categories
Compliance frameworks mapped
Scan modes (Browser/API/Agent/Model)
Open Research
We believe security improves with transparency. Our LLM Security Leaderboard is fully public — anyone can see how the top AI models perform against our attack suite. We publish our methodology, share research on our blog, and contribute to the broader AI safety community.
View the LeaderboardOur Journey
Founded to make LLM security testable and measurable
Built Browser scan mode — Playwright-based web UI red teaming
Launched API + Agent scan modes; expanded to 58,000+ attack techniques
Advanced attack engine with 8 exploitation strategies and ExploitDepth scoring
Agentic threat testing — 6 categories, adaptive strategies, defense fingerprinting
Public Model Security Leaderboard live at shieldpi.io/leaderboard
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