Preventing AI Hallucinations, How Multi-Turn Attacks Generate Harmful Content, Guide for Building Secure AI Apps, and more

Preventing AI Hallucinations, How Multi-Turn Attacks Generate Harmful Content, Guide for Building Secure AI Apps, and more

December 3, 2024

Trust Matters is a monthly newsletter produced by Enkrypt AI. Read on for the latest AI safety and security updates, and all things world-changing in the New Era of AI.


??How to Prevent AI Hallucinations??

??Are you plagued by AI hallucinations? See how you can effectively detect and remove AI hallucinations by refining both context and responses.

??? Read this article on an innovative method that delivers improved accuracy and reliability in AI applications.

Do your AI applications generate reliable answers? Don’t count on it.

?? How Multi-Turn Attacks Generate Harm on your AI Solutions ??

??Even the most secure LLMs are vulnerable to multi-turn attacks.

?? Read this article to learn more about these attacks (including video examples), and how to ensure your AI applications are protected against them. ?

Multi-turn attacks: A simple yet powerful way to break Generative AI chatbots.

?Strategy Guide to Adopting Generative AI?

??Do you want a strategy guide to adopt Generative AI?

?? Then read these 6 best practices on how you can build and scale secure AI applications.

Enterprises are adopting generative AI to streamline operations, boost productivity, and create new value. However, generative AI applications come with inherent risks, such as biased decision-making, increased privacy breaches, jailbreaking, and more. A structured approach is necessary to navigate these challenges effectively.?

Best practices guide for building and scaling secure AI applications.

?? LLM Safety and Security: How to Select the Best LLM via Red Teaming Results ??

?? How do you select an LLM? We spoke with hundreds of AI leaders, CIOs, and CTOs and their answers were all the same. They deploy multiple LLMs across their AI stack, prioritizing specific use cases and exposure.

?? Read this article to see how a leading insurance customer selected their LLM, leveraging red teaming results from our LLM safety leaderboard.

Selecting an LLM is easy when leveraging red teaming results from LLM leaderboards.

?? [Webcast] The Critical Path to Zen: AI Data Risk Audit??

Feeling the Zen while presenting this popular AI security solution.

We had a great time presenting our latest webinar last week entitled, “The Critical Path to Zen: AI Data Risk Audit”. A huge shout out to our attendees for asking such insightful questions.

?? Get the 24-minute webcast recording (including a product demo and audience Q&A) and slides to learn how to:

  • Prevent real-world mistakes from happening when “bad” data powers AI apps including human harm and discrimination.
  • Scan data to ensure it is compliant and safe to use with AI.
  • Build Gen AI apps 80% faster due to better data (just like the NetApp case study)?
  • Achieve optimal AI application security, safety, and trust.

Learn how to get your data ready for AI and achieve the Zen you deserve. ?


LLM Safety Quote of the Month

??Our featured LLM is currently enjoys the #1 spot on our Leaderboard: gemini-1.5-pro-exp-0801. With a 4/5 star rating in overall safety and performance, it's a solid choice. But the LLM comes with a huge flaw – it’s grossly vulnerable to jailbreak attempts in single-shot scenarios.

See for yourself: LLM Safety Leaderboard (featuring 116 LLMS and counting)

"It's like a model with a great immune system but has an occasional craving for jailbreak adventures."

Google’s safest LLM: gemini-1.5-pro-exp-0801: still vulnerable to jailbreak attempts.

??Resources??

Check out our resources and latest research on AI safety and security.

??? Sign up for an Enkrypt AI Free Trial to use our AI safety and security platform.

?? Research results on the latest LLMs and AI security technology.

?? LLM Safety Leaderboard: Compare and select the best model for your use case.


See you next month!


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