Generative AI Malware Technical Advisors Training 
AWS Machine Learning - AI
JANUARY 26, 2024
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.
Palo Alto Networks
MAY 15, 2024
In a thought-provoking interview on the Threat Vector podcast , Palo Alto Networks researchers Bar Matalon and Rem Dudas shed light on their groundbreaking research into AI-generated malware and shared their predictions for the future of AI in cybersecurity. And there is a bit of a longer version for that answer.
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Tenable
JANUARY 26, 2024
Created by the Australian Cyber Security Centre (ACSC) in collaboration with cyber agencies from 10 other countries, the “ Engaging with Artificial Intelligence ” guide highlights AI system threats, offers real-world examples and explains ways to mitigate these risks.
Tenable
APRIL 19, 2024
Check out the AI security recommendations jointly published this week by cybersecurity agencies from the Five Eyes countries: Australia, Canada, New Zealand, the U.K. Deploying AI systems securely requires careful setup and configuration that depends on the complexity of the AI system, the resources required (e.g., and the U.S.
O'Reilly Media - Ideas
JANUARY 25, 2024
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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