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Enterprise Automated Red Teaming solution for comprehensive AI agent security testing.
Discover vulnerabilities before they become threats. If your agent has vulnerabilities, we won't stop until we find them.
Generate sophisticated adversarial attacks with our SOTA algorithm repository
Track attack success rates and model vulnerabilities in real-time
Deep dive into attack patterns and model responses
Import your AI agents and systems through GitHub or API integration for comprehensive testing.
Execute diverse adversarial attacks using state-of-the-art algorithms to find vulnerabilities.
Receive detailed reports with vulnerability analysis and actionable remediation recommendations.
Our attack library is one of the most comprehensive in the industry. We continuously monitor academic research and develop proprietary attack techniques to stay ahead of emerging threats.
The examples below are a few of the more well-known algorithms in our repository.
A gradient-based optimization attack that generates adversarial suffixes to bypass safety mechanisms. GCG uses gradient information to automatically craft token sequences that trigger harmful outputs, achieving high success rates with transferability across models.
A sophisticated multi-turn jailbreak that starts with benign queries and gradually escalates to harmful content. Exploits LLMs' tendency to follow conversational patterns and focus on their own generated text, making it highly effective and difficult to detect.
An iterative refinement approach using tree search with intelligent pruning. TAP systematically explores multiple attack variations, pruning ineffective branches to efficiently find successful jailbreaks while minimizing query count.
Employs genetic algorithms to evolve semantically meaningful jailbreak prompts. Unlike gradient-based methods, AutoDAN generates fluent, human-readable prompts that bypass perplexity filters while maintaining high attack success rates.
Join leading organizations using REDit to identify and fix vulnerabilities before they become security incidents.
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