ANY.RUN, a leading provider of interactive malware analysis and threat intelligence solutions, announced the launch of AI Sigma Rules, a new feature that automatically turns verified sandbox detections into reusable, standardized Sigma rules, helping SOC teams scale detection, reduce MTTR, and move faster from investigation to prevention.
饾悥饾悺饾惒 饾悁饾悎 饾悞饾悽饾悹饾惁饾悮 饾悜饾惍饾惀饾悶饾惉 饾悓饾悮饾惌饾惌饾悶饾惈 饾悷饾惃饾惈 饾悓饾惃饾悵饾悶饾惈饾惂 饾悞饾悗饾悅饾惉
SOC teams find real threats every day, but turning those findings into reusable detection logic is still slow and manual. Rules live in different tools and formats, making it hard to scale protection fast.
AI Sigma Rules fix this by turning verified malicious activity into ready-to-use Sigma rules, so every confirmed threat strengthens the whole environment.
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饾悋饾惃饾惏 饾悁饾悎 饾悞饾悽饾悹饾惁饾悮 饾悜饾惍饾惀饾悶饾惉 饾悞饾惃饾惀饾惎饾悶 饾悓饾惃饾悵饾悶饾惈饾惂 饾悞饾悗饾悅 饾悅饾悺饾悮饾惀饾惀饾悶饾惂饾悹饾悶饾惉
AI Sigma Rules address one of the core bottlenecks in modern detection operations: turning confirmed threats into protection that scales. By automating Sigma rule creation directly from sandbox detections, ANY.RUN enables SOC teams to move faster and operate with greater consistency across their security stack.
路 饾棛饾棶饾榾饾榿饾棽饾椏 饾棻饾棽饾榿饾棽饾棸饾榿饾椂饾椉饾椈-饾榿饾椉-饾棻饾棽饾椊饾椆饾椉饾槅饾椇饾棽饾椈饾榿 饾棸饾槅饾棸饾椆饾棽饾榾, reducing the time it takes to turn investigations into live rules
路 饾棪饾榿饾椏饾椉饾椈饾棿饾棽饾椏 饾棻饾棽饾榿饾棽饾棸饾榿饾椂饾椉饾椈 饾棸饾椉饾槂饾棽饾椏饾棶饾棿饾棽 饾榿饾椀饾椏饾椉饾槀饾棿饾椀 饾椏饾棽饾槀饾榾饾棶饾棷饾椆饾棽, 饾棷饾棽饾椀饾棶饾槂饾椂饾椉饾椏-饾棷饾棶饾榾饾棽饾棻 饾棪饾椂饾棿饾椇饾棶 饾椏饾槀饾椆饾棽饾榾 tied to real attacks and deployable across SIEM and EDR platforms
路 饾棢饾椉饾槃饾棽饾椏 饾棤饾棫饾棫饾棩, as analysts no longer start from a blank page when building new detections
路 饾棝饾椂饾棿饾椀饾棽饾椏 饾棶饾椈饾棶饾椆饾槅饾榾饾榿 饾棽饾棾饾棾饾椂饾棸饾椂饾棽饾椈饾棸饾槅, with less time spent on manual rule drafting and formatting
路 饾棔饾棽饾榿饾榿饾棽饾椏 饾榾饾棸饾棶饾椆饾棶饾棷饾椂饾椆饾椂饾榿饾槅 饾棾饾椉饾椏 饾棤饾棪饾棪饾棧饾榾, where one investigation can be converted into protection for multiple tenants
路 饾棞饾椇饾椊饾椏饾椉饾槂饾棽饾棻 饾棪饾棦饾棖 饾椇饾棶饾榿饾槀饾椏饾椂饾榿饾槅, using a shared, standardized detection format across all tiers
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