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The Dark Side of AI in Cybersecurity — AI-Generated Malware

Palo Alto Networks

“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. We did that for different operating systems – for Windows, macOS and Linux. That was the first stage I'd say.”

Malware 84
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Cybersecurity Snapshot: Cyber Agencies Offer Secure AI Tips, while Stanford Issues In-Depth AI Trends Analysis, Including of AI Security

Tenable

Check out recommendations for securing AI systems from the Five Eyes cybersecurity agencies. Plus, Stanford University offers a comprehensive review of AI trends. 1 - Multinational cyber agencies issue best practices for secure AI deployment Looking for best practices on how to securely deploy artificial intelligence (AI) systems?

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Radar Trends to Watch: February 2024

O'Reilly Media - Ideas

Research into security issues has also progressed—unfortunately, discovering more problems than solutions. Researchers have developed a method for detecting AI-generated text that is 90% accurate and has a false positive rate of only 0.01%. Researchers have discovered “ compositional attacks ” against multi-modal language models.

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Radar trends to watch: January 2021

O'Reilly Media - Ideas

AI ethics researcher Timnit Gebru was fired from Google. Part of the solution may be setting up a deployment pipeline that allows you to change the system easily. The attack came through malware planted in a security product from SolarWinds. Operating Systems. The end of CentOS Linux ? AI, ML, and Data.

Trends 101
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ONLY Cortex Delivers 100% Protection and Detection in MITRE Engenuity

Palo Alto Networks

They provide a litmus test or a performance review of how the industry’s endpoint security solutions hold up in the face of the most resourceful cyber saboteurs. They have targeted government agencies, military groups, diplomatic missions, as well as research and media organizations. None – There was no detection. (No

Linux 117
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Radar Trends to Watch: July 2022

O'Reilly Media - Ideas

Big Science has almost finished training its open source BLOOM language model , which was developed by volunteer researchers and trained using public funds. Bloom will provide an open, public platform for research into the capabilities of large language models and, specifically, issues like avoiding bias and toxic language.

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Radar trends to watch: February 2021

O'Reilly Media - Ideas

Researchers have modelled the structure of the portion of a fruit-fly’s brain that is used for smell perception, and trained that model for natural language processing. To train AI systems to evaluate pain in Black patients correctly, don’t train them to match doctors’ evaluations ; doctors systematically undervalue pain in Black patients.

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