Articles from DeepTempo

DeepTempo, a pioneer in behavioral threat detection powered by deep learning, will join Cribl at CrowdStrike Fal.Con 2025 in Las Vegas. DeepTempo team members will be available onsite to share how their foundation model, LogLM, flips the script on AI-enabled adversaries and integrates with the Cribl platform to help enterprises defend against modern threats.

DeepTempo, a pioneer in behavioral threat detection powered by deep learning, today announced the formation of the DeepTempo Cyber Intelligence Council, a strategic advisory body composed of industry-defining leaders from the front lines of cybersecurity, cloud infrastructure, AI innovation, and national defense.

DeepTempo, a pioneer in behavioral threat detection powered by deep learning, today announced three key additions to its leadership team. These hires strengthen DeepTempo’s capacity to meet growing enterprise demand for real-time, behavior-first security that outpaces AI-powered threats.

DeepTempo, a pioneer in behavioral threat detection powered by deep learning, will be on the ground at Black Hat USA 2025, DEF CON 33, and BSides Las Vegas. As the cybersecurity landscape evolves with polymorphic and AI-powered threats, DeepTempo’s presence will focus on empowering defenders through community, collaboration, and context-rich detection. Join DeepTempo experts for panel discussions and talks starting August 4.

DeepTempo today announced new capabilities for Tempo, its deep learning-powered cybersecurity solution available as a Snowflake Native App on the Snowflake Marketplace. With enhanced fine-tuning, MITRE mapping integration, and seamless compatibility with existing SIEM systems, Tempo can map detected anomalies to their most likely MITRE ATT&CK sequences, providing enhanced context and actionable insights.

DeepTempo announced today that it has completed the BNY Ascent Program. As part of the program, DeepTempo worked with BNY on evaluating through a proof-of-concept (POC) deployment its LogLM-based software for cybersecurity incident identification. The Ascent program seeks out exceptional early-stage companies worldwide to create new capabilities for BNY and its clients by collaborating on solutions and conducting a POC.

DeepTempo today announced its emergence from stealth mode with the launch of Tempo, a deep learning-based Snowflake Native App available now on the Snowflake Marketplace. Tempo leverages collective deep learning to improve the detection of potential cyberattacks while increasing the productivity of security teams. As part of the launch, DeepTempo will be demonstrating its capabilities at Snowflake’s annual developer conference, BUILD, on November 14, following the successful collaboration with the Snowflake Native App Accelerator program.