Our Partners
Our Partners
Learn about who we partner with and why.
Learn about who we partner with and why.
We partner with systems integrations to provide total solutions to medium to large enterprises, governments, and service providers. If you are a system integrator with understanding of the cybersecurity needs of a particular set of customers and are interested in potentially including Tempo in your solutions on cloud or on premise, please get in touch.
We partner with systems integrations to provide total solutions to medium to large enterprises, governments, and service providers. If you are a system integrator with understanding of the cybersecurity needs of a particular set of customers and are interested in potentially including Tempo in your solutions on cloud or on premise, please get in touch.
Powered By
Powered By
From enterprise log ingestion to large-scale pre-training and real-time inference, our Tempo LogLM harnesses the NVIDIA stack to deliver unparalleled performance on security data—whether on-premise or in the cloud.
From enterprise log ingestion to large-scale pre-training and real-time inference, our Tempo LogLM harnesses the NVIDIA stack to deliver unparalleled performance on security data—whether on-premise or in the cloud.
From enterprise log ingestion to large-scale pre-training and real-time inference, our Tempo LogLM harnesses the NVIDIA stack to deliver unparalleled performance on security data—whether on-premise or in the cloud.
Global Enterprise:
Challenged by Advanced Attack
Global Enterprise:
Challenged by Advanced Attack
This global enterprise conducted a broad search for solutions that could identify advanced attacks with low MTTD and without requiring on device agents. They had suffered from attacks that successfully avoided detection from their rules and ML based systems.
This global enterprise conducted a broad search for solutions that could identify advanced attacks with low MTTD and without requiring on device agents. They had suffered from attacks that successfully avoided detection from their rules and ML based systems.
Tempo was evaluated across a number of criteria, including:
Scalability - the ability to ingest billions of logs per hour, to run in a decentralized manner, and to auto-tune itself
Accuracy - the ability to have <1% false positives and to see zero-day and other novel attacks
Adaptability - the enterprise needed a solution that could be deployed and achieve high-accuracy within minutes
Explainability - existing rules based systems were often unable to map the attack accurately to MITRE ATT&CK patterns
Tempo was evaluated across a number of criteria, including:
Scalability - the ability to ingest billions of logs per hour, to run in a decentralized manner, and to auto-tune itself
Accuracy - the ability to have <1% false positives and to see zero-day and other novel attacks
Adaptability - the enterprise needed a solution that could be deployed and achieve high-accuracy within minutes
Explainability - existing rules based systems were often unable to map the attack accurately to MITRE ATT&CK patterns
After a several month analysis, Tempo was selected. Tempo is being deployed both for proactive defense and for threat response and forensics. Each location has an unlimited use license and is supported with Tempo Active Learning and tied together with Federated Learning. The incidents identified by Tempo are forwarded to a large SIEM environment; Tempo's Forensichat is used for semantic search powered isolation and forensics.
After a several month analysis, Tempo was selected. Tempo is being deployed both for proactive defense and for threat response and forensics. Each location has an unlimited use license and is supported with Tempo Active Learning and tied together with Federated Learning. The incidents identified by Tempo are forwarded to a large SIEM environment; Tempo's Forensichat is used for semantic search powered isolation and forensics.
Interested? Contact Us Now.
Interested? Contact Us Now.
Interested? Contact Us Now.