DeepTempo 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.

Organizations can now leverage AI-powered security capabilities directly within their Snowflake environment, maintaining data privacy and compliance while significantly enhancing their ability to detect and respond to evolving cyber threats. Snowflake users can try it in minutes, and apply it to their data for enhanced protection, improved security operations productivity, and cost savings.  

The DeepTempo solution is based upon a foundation Log Language Model (LLGM) built and trained by DeepTempo that detects anomalies in network traffic and provides additional context such as similar attack patterns from the MITRE ATT&CK matrix, potentially impacted entities, and other vital information needed by security operations teams for effective triage and response. Customers benefit from faster detection of attack indicators, including new and evolving threats, and can optimize their security spending by running the DeepTempo software on their existing security data lakes.  

"Attackers are using AI and collaboration to surpass defenders in innovation. Our mission at DeepTempo is to return the initiative to the defenders," said Evan Powell, founder and CEO of DeepTempo, an industry veteran with extensive expertise in building leading companies in networking, storage, data platforms, and DevOps. "We are opening our early access program to allow organizations to stay ahead of evolving cyber threats by using our purpose-built AI to detect and respond to threats faster than ever before. Also, by making available our AI-driven security solution as a Snowflake Native App, we are able to leverage Snowflake's high availability and disaster recovery along with their security reviews and controls. Our Tempo software is available now to the thousands of Snowflake customers."

"The launch of Tempo as a Snowflake Native App is just the latest example of how startups are leveraging Snowflake's ecosystem and platform to build and scale their businesses," said Tarik Dwiek, head of technology alliances, Snowflake. "Bringing DeepTempo into the Snowflake ecosystem provides our customers with even more choice when it comes to building their network and building applications securely in the AI Data Cloud."

The Snowflake Native App Framework enables developers to build applications using Snowflake's core functionalities, distribute them globally on Snowflake Marketplace, and deploy them within a customer's Snowflake account.