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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 74
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Agentless Workload Scanning Gets Supercharged with Malware Scanning

Prisma Clud

Using WildFire in 2021 to analyze malicious files, our threat research team discovered a 73% increase in Cobalt Strike malware samples compared to 2020. The speed, volume and sophistication of modern malware attacks has made them more difficult to detect.

Malware 76
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ELF of the Month: Linux DDoS Malware Sample

Lacework

James CondonDirector of Research, Lacework Labs Each month we take a look at a malicious Executable and Linkable Format (ELF) file, the common executable file format for Unix and Unix-like Operating Systems, and share details about the sample. In this edition of ELF of the Month, we take a look at a Linux DDoS sample […]

Linux 52
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Hidden inside Dark Caracal’s espionage apps: Old tech

The Parallax

Its success was predicated not on “zero-day” vulnerabilities or new forms of malicious software, but rather on older, known malware delivered via an all-too-familiar method: phishing. The malware included hacked versions of end-to-end encrypted communication apps Signal and WhatsApp.

Malware 170
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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

Aimed at a broad audience, including policymakers, researchers and executives, the report seeks to help readers get “a more thorough and nuanced understanding of the complex field of AI.” The report, divided into nine chapters, covers topics including research and development; technical performance; responsible AI; and policy and governance.

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Radar trends to watch: November 2021

O'Reilly Media - Ideas

Researchers are building large natural language models, potentially the size of GPT-3, to decode the “speech” of whales. a threat to privacy, or a valuable academic research tool? Facebook AI Research has created a set of first-person (head-mounted camera) videos called Ego4D for training AI. through trial and error.

Trends 129
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Radar Trends to Watch: June 2023

O'Reilly Media - Ideas

AI LMSYS ORG (Large Model Systems Organization), a research cooperative between Berkeley, UCSD, and CMU, has released ELO ratings of large language models, based on a competitive analysis. It supports iPhones, Windows, Linux, MacOS, and web browsers. It’s not just Linux. Will this slow Rust’s momentum? Or JavaLandia?