Detect threats with unprecedented accuracy and adaptability and then rapidly understand and isolate them. DeepTempo's Tempo LogLM is a purpose-built deep learning model that understands the language of logs, improving threat detection, isolation, and remediation.
DeepTempo builds LogLMs (Log Language Models), Foundation Models uniquely able to rapidly adapt to new environments while retaining extraordinary accuracy. The LogLMs are used to better identify potential attacks.
DeepTempo helps to keep defenders ahead of attackers by increasing the productivity of cyber defense while saving costs by applying our Tempo LogLM-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.
DeepTempo delivers Collective Defense via Deep Learning. We return the power to defenders with LogLMs and software. We take open approaches, running on any data lake, and reducing lock-in from aging vertically integrated security platforms.
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.
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.
Tempo is the first Native App available on Snowflake for cyber security incident identification. Free trials with demo data can be run in minutes.
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.