Unit 42 explores key peak shopping season retail cyber threats, from ransomware to AI attacks, and shares how to defend operations and customer trust.

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An investigation into a threat actor bypassing AI safety controls to coordinate credential theft, VoIP fraud planning, and database exfiltration.

The post “Next Exploit Opportunities”: How a Threat Actor Used AI to Help Plan and Execute Multiple Types of Cybercrime Activities appeared first on Unit 42.

Analysis of XCSSET v40 reveals a macOS malware targeting developers via Xcode. Unit 42 used advanced pattern matching and AI to decode its logic.

The post The Xcode Assassin Returns: A Deep Dive Into the Latest XCSSET Version appeared first on Unit 42.

Unit 42 research details how attackers could exploit global name uniqueness in bucket hijacking to redirect cloud data streams across major CSPs.

The post The Global Namespace Risk: Universal Bucket Hijacking Technique for Cloud Data Exfiltration appeared first on Unit 42.

Unit 42 reveals how multi-agent AI systems can autonomously attack cloud environments. Learn critical insights and vital lessons for proactive security.

The post Can AI Attack the Cloud? Lessons From Building an Autonomous Cloud Offensive Multi-Agent System appeared first on Unit 42.

Unit 42 finds frontier AI models enhance vulnerability discovery, acting as full-spectrum security researchers. They enable autonomous zero-day discovery and faster N-day patching.

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