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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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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.

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Beyond the Hype — Where AI Can Shine in Security

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.

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Technology Trends for 2024

O'Reilly Media - Ideas

Generative AI is the wild card: Will it help developers to manage complexity? It’s tempting to look at AI as a quick fix. Whether it will be able to do high-level design is an open question—but as always, that question has two sides: “Will AI do our design work?” Did generative AI play a role?

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AI Is Changing Security — 5 Predictions from Cortex

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 weekly 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.