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This article focuses on a new security product architecture that shifts detection logic from expensive SIEMs into the data pipeline, fundamentally changing how security operations utilize machine learning rules and log normalization. While the context is cybersecurity infrastructure, the core innovation lies in optimizing the deployment of detection algorithms (Sigma rules) and managing data fidelity before ingestion, which aligns with AI/ML operational efficiency rather than general software or networking updates.

Source coveringCybersecurity News

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Axoflow Launches AxoDetect, Bringing Detection Into the Pipeline and Making the SIEM Optional

Cybersecurity NewsSeptember 16, 20262 min read

Stamford, CT, September 16th, 2026, CyberNewswire Now in early access, AxoDetect runs Sigma rules in stream alerts travel to the SIEM, and full-fidelity logs land in AxoLake, a low-cost security data lake Detection engineers do not need more detections. They need their existing detections to fire earlier, on cleaner data, without paying SIEM ingest rates […] The post Axoflow Launches AxoDetect, Bringing Detection Into the Pipeline and Making the SIEM Optional appeared first on Cyber Security News.

Detection engineers do not need more detections. They need their existing detections to fire earlier, on cleaner data, without paying SIEM ingest rates for the privilege. Announced during Splunk .conf26, AxoDetect, Axoflow’s detection component, now in…

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