Concerns, opinions, and ideas about the practical security and safety of AI applications
Platform | Substack | Pricing | Only free issues | Publishes | Weekly |
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In the previous blog post, we discussed the potential value of threat modeling as an essential part of AI Security efforts. In this post, we continue that topic and look into some practical details using a simplified case study of using AI-...
AI applications have become more complex, with multiple dependencies, operating on highly sensitive information and embedded in high-risk workflows. To effectively protect such solutions, we need to understand the threats and limitations of...
Cybersecurity is one of the domains that will be the most affected by new AI technologies. Practical security is about avoiding surprises, which requires adequate technical controls, patterns, best practices, and appropriate organizational ...
AI is all about data. AI research is quickly published, much development happens in open-source space, computational resources are cheaper, and the gap in human expertise will eventually be overcome. Except for top research labs, it is no l...
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