Proactively identify vulnerabilities through red teaming to produce safe, secure, and reliable models.
Deploy generative AI applications and agents in a safe, secure, and scalable way with guardrails.
To build safe, trustworthy AI apps, enterprises must understand how and why LLM models may scheme and deceive.Â
In partnership with a major LLM provider, we tested how incentives like self-preservation or user appeasement can drive strategic deception.
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In this report, we cover:
Download the report to better understand how you can ensure your AI-powered apps are more trustworthy, predictable, and aligned with user and business goals.
Dive into AI Model Safety: Emerging Threats Assessment to explore GenAI's response to risky prompts and safeguarding strategies.
See why the threat expertise of your red teams is important to the overall success of their efforts along with practical tips for red teaming GenAI systems.
Uncover five essential red teaming tactics to fortify your GenAI systems against misuse and vulnerabilities.