DeepTempo, a provider of deep learning-based cybersecurity solutions,  announced new capabilities for Tempo, its flagship cybersecurity solution. Tempo is available as a Snowflake Native App on the Snowflake Marketplace and leverages deep learning to provide enhanced threat detection and response.

The latest enhancements to Tempo include improved fine-tuning, MITRE mapping integration, and seamless compatibility with existing Security Information and Event Management (SIEM) systems. These features are designed to provide security teams with more context and actionable insights, ultimately improving their ability to detect and respond to cyber threats.

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Tempo’s fine-tuning capabilities allow organizations to adapt its deep learning models to their specific environments, ensuring greater accuracy and relevance in threat detection. The solution also integrates with the MITRE ATT&CK framework, mapping detected anomalies to their most likely attack sequences. This allows security teams with pre-established response plans for specific cyberattack methods to trigger their reactions with unprecedented speed and precision. The MITRE ATT&CK flagged alerts seamlessly stream into their existing SIEM platforms. According to DeepTempo, this context significantly reduces mean time to respond (MTTR) and can save minutes or even hours during active threats.

Tempo utilizes only network and cloud flow logs to identify common attacks such as reconnaissance, lateral movement, and data exfiltration. All stored sequences are automatically tagged with the closest MITRE ATT&CK techniques. The solution also embeds information in compact representations, less than 1 percent the size of the original logs, enabling faster and more efficient analytics while reducing spending on log storage and analysis.

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FAQs

1. What are the key benefits of Tempo’s fine-tuning capabilities?

Fine-tuning allows organizations to adapt Tempo’s deep learning models to their specific environments, improving the accuracy and relevance of threat detection.

2. How does Tempo utilize the MITRE ATT&CK framework?

Tempo automatically maps detected anomalies to their most likely MITRE ATT&CK sequences, providing enhanced context for security teams.

3. How does Tempo reduce log storage costs?

Tempo embeds information in compact representations, which are less than 1 percent the size of the original logs, enabling faster and more efficient analytics while reducing spending on log storage and analysis.

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Conclusion

DeepTempo’s latest enhancements to Tempo, its deep learning-powered cybersecurity solution, offer enhanced threat detection and response through improved fine-tuning, MITRE mapping integration, and SIEM compatibility. By operating upstream from existing SIEM systems, Tempo enriches data and insights, allowing security teams to leverage their current workflows while benefiting from enhanced intelligence. The solution’s fine-tuning capabilities adapt to specific environments, while MITRE ATT&CK mapping provides actionable context, reducing MTTR. Using network and cloud flow logs, Tempo identifies common attacks and stores information in compact representations, reducing log storage costs. Available on the Snowflake Marketplace, DeepTempo’s solutions optimize security spending and enhance operational efficiency.

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