DeepTempo, a pioneer in behavioral threat detection powered by deep learning, has announced a strategic partnership with Cribl, the Data Engine for IT and Security. The collaboration delivers an integrated solution that streamlines telemetry collection and enables deep learning-powered detection to counter polymorphic and agentic AI-driven threats in modern SecOps environments.
The partnership tackles surging telemetry volumes and sophisticated AI threats evading rule-based systems. DeepTempo's Tempo platform centers on LogLM, a foundation model trained to decode log language, integrated with workflows for behavior-first detection. Paired with Cribl Stream, Lake, and Search, it unifies collection, routing, tiering, and searching of logs, metrics, and events from any source.
Cribl provides centralized control, flexible access, and object store integration for federated search and cost efficiency. Tempo adds behavioral enrichment to detect anomalies like reconnaissance or lateral movement via domain-adapted models with minimal false positives.
NVIDIA GPU acceleration and RAPIDS integration enable high-throughput, real-time processing of vast data without accuracy loss. SOC teams gain from automated MITRE ATT&CK technique tagging, forensic timeline building, vector-based correlation for triage, and replay capabilities from economical storage for investigations and model fine-tuning.
“Security teams need full visibility and the ability to act fast,” said Vlad Melnik, VP of Business Development and Global Alliances at Cribl. “With Cribl, organizations can shape and route telemetry to the right tools, like DeepTempo’s purpose-built deep learning engine, for real-time threat detection. It’s a natural fit: we deliver the right data, and Tempo extracts maximum security value.”
This agent-free solution deploys across cloud, hybrid, and on-premises environments, centralizing data governance while maximizing security value without brittle pipelines or lock-in. It empowers defenders against zero-click exploits and agentic threats.
“With Cribl’s data management and Copilot capabilities, pairing our Tempo platform at the network layer gives defenders both coverage and governance at scale,” said Evan Powell, CEO of DeepTempo. “Tempo’s LogLM turns raw telemetry into high-signal context, the insight security teams need to outpace agentic AI threats, zero-click exploits, and other attacks that slip past traditional defenses.”
DeepTempo offers deep learning-based cybersecurity solutions that safeguard enterprises and service providers against cyberattacks. Leveraging its purpose-built LogLMs, the company’s cybersecurity solutions are available on the Snowflake Native App Marketplace and for deployment across cloud, hybrid, and on-premises environments, helping organizations optimize security spending and enhance operational efficiency while maintaining robust threat protection without lock-ins.
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