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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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How to Use Generative AI for Knowledge Management

Ivanti

In the blog “ How Generative AI Can Benefit Knowledge Management ”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. Having identified the data type, generative AI is only as good as the data it's trained on.

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Stability AI releases ChatGPT-like language models

TechCrunch

Stability AI , the startup behind the generative AI art tool Stable Diffusion , today open-sourced a suite of text-generating AI models intended to go head to head with systems like OpenAI’s GPT-4. But Stability AI claims it created a custom training set that expands the size of the standard Pile by 3x.

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Cybersecurity Snapshot: CISA Says Midnight Blizzard Swiped U.S. Gov’t Emails During Microsoft Hack, Tells Fed Agencies To Take Immediate Action

Tenable

Already, 22% of polled organizations use generative AI for security. C-level and board support is driving generative AI adoption. Meanwhile, 67% have tested AI for security purposes, and 48% feel either “very” or “reasonably” confident in their organizations’ ability to use AI for security successfully.

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Cybersecurity Snapshot: NIST’s Cybersecurity Framework Gets Major Update, as Advisories on APT29 and ALPHV Blackcat Get Rolled Out

Tenable

Also, how to assess the cybersecurity capabilities of a generative AI LLM. And the most prevalent malware in Q4. In these attacks, users are tricked into installing what they think is a legitimate browser update that in reality is malware that infects their computers. And much more! 1 - NIST’s Cybersecurity Framework 2.0

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Counter AI Attacks with AI Defense

Palo Alto Networks

Precision AI by Palo Alto Networks is our proprietary AI system that helps security teams trust AI outcomes by using rich data and security-specific models to automate detection, prevention and remediation. This same pattern of behavior has been observed with new AI technology. Learn more about AI Precision.

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Short, Mid and Long-Term Impacts of AI in Cybersecurity

Palo Alto Networks

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more.