Complete OWASP LLM Top 10 2025 compliance with 42 specialized AI agents covering every modern AI vulnerability category. Our intelligent agents generate dynamic, context-aware attacks that learn from every assessment, delivering industry-leading accuracy with high-precision threat detection that improves from 85% to 95% over multiple assessments.
Complete OWASP LLM Top 10 2025 compliance with 42 specialized AI agents covering every critical vulnerability category from Prompt Injection to Vector Weaknesses. Our adaptive learning system gets smarter with every assessment, improving detection accuracy from 85% to 95% as it learns your application's unique vulnerabilities and attack patterns.
42 specialized AI agents provide complete OWASP LLM Top 10 2025 compliance across all critical vulnerability categories. From Prompt Injection to Data Poisoning, our comprehensive coverage ensures no security blind spots in your AI applications.
Your security testing gets smarter with every assessment, learning your application's specific vulnerabilities and improving detection accuracy from 85% to 95% over multiple assessments with high-precision threat identification.
Six sophisticated AI-driven strategies: Direct, Gradual Escalation, Role-Playing, Technical Obfuscation, Social Engineering, and Context Manipulation - adapting to your application's specific vulnerabilities.
From 1 agent (Free) to 42 agents (Enterprise) with 10% to 100% OWASP coverage. Start with basic testing and scale to complete modern AI security with multi-turn attacks and advanced capabilities.
Python library for seamless CI/CD integration, enabling automated security assessments in your development pipeline for continuous protection across all OWASP categories.
Our adaptive learning system builds deep intelligence about your application's unique vulnerabilities, making each assessment more precise and effective. Watch your detection accuracy improve from 85% to 95% as our AI agents master your specific security landscape.
Insufficient validation of LLM outputs before downstream use
Manipulating LLM via crafted inputs to execute unintended commands
LLM systems performing unauthorized actions beyond their intended scope
Manipulation of training data or model parameters to introduce vulnerabilities or biases
Experience how VeriGenAI transforms complex security assessments into automated intelligence workflows.
Join organizations using AI-powered security testing that gets smarter with every assessment. Start with our free tier and watch our intelligent agents learn your application's unique vulnerabilities.
Our security experts are ready to help you unlock your stalled GenAI initiatives and accelerate your path to production with confidence.
