Security teams are paying more attention to the energy cost of detection

Security teams spend a lot of time explaining why detection systems need more compute. Cloud bills rise, models retrain more often, and new analytics pipelines get added to existing stacks. Those conversations usually stay focused on coverage and accuracy. A recent study takes a different approach by measuring anomaly detection models alongside their energy use and associated carbon output, treating compute consumption as part of security operations. Energy use is becoming part of security operations … More →

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