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Red Teaming for your LLM application
Stay One Step Ahead of Attackers
Преимущества
What is Red Teaming for GenAI applications?
Red Teaming for LLM systems involves a thorough security assessment of your applications powered by generative AI.
Mitigate Risks
Avoid costly data breaches, financial losses, and regulatory penalties.
Enhance User Trust
Deliver secure and reliable AI-driven experiences to protect your brand reputation.
Comprehensive Security Testing
Evaluate resilience against both traditional and emerging AI-specific threats.
Tool Integration Expertise
Our experts analyze potential risks arising from plugins, function calls, and interactions with external services.
Innovation in Attack Simulation
We simulate real-world threats, including prompt injection and jailbreak attempts, to test your AI's robustness.
Cases
Red Teaming
Process
HiveTrace Red: Automated AI Red Team Tool

Available via pip for easy integration into your workflow
Support for 80+ attacks in Russian and English, automatic translation into other languages possible
Works both with local models and via API
A modular architecture that allows SOTA models to be used to create attacks and evaluate responses
Saving all results and metadata for test reproducibility
Ability to combine attacks to test systems in complex scenarios