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Collective Deep Learning For Cybersecurity

As deep learning technologies advance, we teach them to speak security. As a result, enterprises are safer and security teams are more productive now and in the future.

DeepTempo returns power to defenders; we keep defenders ahead of attackers by increasing the productivity of cyber defense while saving costs by applying our LogLM (Large Log Model) based solutions.

Deep learning is more than cutting-edge technology. Foundation models, like Tempo LogLM, can apply what they learn in one environment to each new environment they encounter. They are collective intelligence - at work in defense of us all.

Mission

DeepTempo returns the power to defenders with a new LogLM (Log Language Model), that, along with our software, identifies security incidents with unparalleled accuracy and efficiency.

Where Do We Fit In The Enterprise?

Tempo runs in your Datalake where your data lives. It can even run as a Snowflake Native App. Using Tempo will save you money on your SIEM, by sending incidents, not raw logs, into your SIEM.

Solutions

Our Tempo software and LogLM can run on as little as 1 CPU, depending on the amount of log data to analyze. A free demo is available from the Snowflake Marketplace. Tempo is the first cyber security incident identification solution available as a Native App. We also support on-premise deployments and can scale horizontally to PBs of logs analyzed daily, for the largest of environments.

Snowflake Native App

Tempo is the first Native App available on Snowflake for cyber security incident identification. Free trials with demo data can be run in minutes.

On-Premise Solution

Tempo runs efficiently on premises with LogLMs capable of running on a single CPU or GPU and scaling horizontally in any Kubernetes-based workload management system.

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