Unseen AI Risks

In the race to adopt AI, businesses are blind to critical risks. These include subtle privacy leaks that expose customer data, dangerous security vulnerabilities that enable jailbreaking and prompt injection, and harmful bias that leads to unfair outcomes. Without a clear view of these threats, businesses face regulatory fines, reputational damage, and a breakdown of customer trust.

Key Features

Faster Red Teaming
Achieve 20x faster audits compared to manual red teaming.
Proactive Risk Detection
Identify jailbreaks, bias, privacy leaks, and unsafe
prompts before launch.
Comparative Risk Scoring
Get clear trustworthiness insights to select the safest models.
Turing Tree™ Simulation
Leverage multi-round adversarial testing with advanced
questioning algorithms.

Key Benefits

Security Testing
Assessed vulnerabilities like prompt leakage,
filter bypass, and command execution using multi-turn adversarial jailbreaking.
Fairness Testing
Simulated diverse user personas to detect and flag bias when responses exceeded ethical thresholds.
Privacy Testing
Probed risks of PII leakage, membership inference, and
re-identification from partial cues and system prompts.
User Safety Testing
Stress-tested LLMs against toxic, unsafe, and adversarial queries using layered prompt-chaining methods.

End-to-End AI Red Teaming & Risk Assessment

AI Red Teaming
Agent Turing serves as your AI red teaming co-pilot, ensuring your AI models are robust and secure.
Autonomous Stress
Testing
This platform autonomously stress-tests your LLMs and GenAI agents, focusing on privacy, safety, security, and fairness.
Real-World Attack Simulations
Utilizing advanced techniques, Agent Turing simulates real-world attacks to uncover vulnerabilities.
Risk Assessment
It provides a comparative risk score, helping you understand the security posture of your AI models.

Agent Turing actively tests models against principles

Analysis Highlights

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