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Gamaredon exploits a WinRAR flaw to drop modular, nearly fileless malware on Ukrainian targets, hiding payloads in Windows streams and resolving C2s via Telegram. Sekoia’s Threat Detection & Research team dropped a YARA rule in late December 2025 to hunt for new initial access vectors, and by January 2026 it had already generated a dozen […]

System Translates Detection Rules Across Security PlatformsResearchers developed an AI framework that converts threat detection rules between major SIEM platforms including Splunk, Microsoft Sentinel and QRadar. The system uses LLMs and automated validation steps to preserve detection logic during migrations that often require months of manual work.

The Hacker News 3 years, 4 months ago

How to Use AI in Cybersecurity and Avoid Being Trapped

The use of AI in cybersecurity is growing rapidly and is having a significant impact on threat detection, incident response, fraud detection, and vulnerability management. According to a report by Juniper Research, the use of AI for fraud detection and prevention is expected to save businesses $11 billion annually by 2023. But how to integrate AI into business cybersecurity infrastructure