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Cribl and DeepTempo integrate telemetry management with deep learning to detect polymorphic and agentic AI threats using behaviour-first analytics

October 16, 2025 //  by Finnovate

DeepTempo announced a strategic partnership with Cribl, the Data Engine for IT and Security. Together, the companies are delivering an integrated solution that streamlines telemetry collection and unleashes deep learning-powered detection to stop polymorphic and agentic AI-driven threats. At the core of the offering is Tempo, DeepTempo’s flagship platform. By combining Tempo’s advanced analytics with Cribl’s data collection and management capabilities, customers gain high-fidelity detections, faster investigations, and significant cost savings without the complexity of managing multiple collectors or preprocessing pipelines. Key Benefits for Security Teams: Unified telemetry management: Cribl Stream, Lake, and Search unite the telemetry lifecycle—collecting, routing, tiering, and instantly searching logs, metrics, and events from any source in any format. The product suite enables centralized control, flexible access, and lower costs through seamless object store integration and federated search. Schema-aware enrichment: Cribl’s Copilot Editor automatically maps raw telemetry to industry schemas (OCSF, ECS, UDM, ASIM), while Tempo layers in behavioral enrichment to accelerate time-to-insight. Behavior-first detection: Tempo’s LogLM, built and trained by DeepTempo, identifies subtle deviations from normal activity, from reconnaissance to lateral movement, with false positives under 1% after domain adaptation. The platform is agent-free and optimized for modern data lake and cloud-native environments. Accelerated performance: NVIDIA GPU acceleration and RAPIDS integration enable high-throughput, real-time analysis of massive data volumes without sacrificing accuracy. Faster SOC workflows: Tempo automatically tags sequences with MITRE ATT&CK techniques, builds forensic timelines, and uses vector-based correlation for rapid triage and root-cause analysis. Replay capabilities allow data retrieval from low-cost storage for investigation and model fine-tuning. Cost optimization: Intelligent data routing and reduced false positives can lower SIEM licensing costs by up to 45%.

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Category: Cybersecurity, Innovation Topics

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