As Artificial Intelligence (AI) continues to advance, cyber security companies are making tremendous efforts to integrate the technology into their products and services. This is to ensure their products can withstand or tackle emerging threats and attacks.
DeepTempo has taken a big step in achieving this by developing and introducing ‘Tempo’, a cutting-edge deep learning application specifically for the Snowflake cloud platform. Tempo helps the security team maintain data privacy and compliance while also enhancing the ability to detect and respond to evolving cyber threats.
Tempo is powered by the Log Language Model which is different from the Large Language Models (LLMs). Unlike LLMs which are trained on large amounts of web contents, DeepTempo built and trained the Log Language Models using massive quantities of log data. This specialized approach allows for more precise and targeted threat detection.
Security teams can leverage this application to carry out complex functions beyond traditional monitoring. By analyzing network traffic, Tempo can quickly identify unusual patterns and potential security risks. The system does not only identify anomalies. It provides critical context that helps security professionals respond more effectively. This includes cross-referencing attack patterns with the respected MITRE ATT&CK framework and identifying potentially compromised systems.
DeepTempo says this tool allows organizations to keep more of their logs within Snowflake and use their SIEMs primarily for incident response rather than log storage. Another compelling advantage is that Tempo could potentially save cost. A large financial institution has already projected savings of several million dollars – potentially reducing their Security Information and Event Management (SIEM) spending by up to 45 percent. The application allows organizations to keep more of their logs within the Snowflake environment, therefore streamlining security operations and reducing infrastructure complexity.
Tempo offers several key advantages for enterprise security teams such as:
- Enabling faster detection of emerging threats.
- Providing deep contextual analysis of potential security incidents.
- Allowing organizations to optimize their existing security infrastructure.
- By leveraging Snowflake’s robust cloud environment, Tempo offers enhanced availability, disaster recovery capabilities, and rigorous security controls.
Founder and CEO Evan Powell highlighted that cyber attackers are increasingly using AI and collaborative tools to beat cyber security defense mechanisms. He explained that the goal at DeepTempo is to give defenders a technological edge, enabling them to detect and respond to threats faster and more effectively.
DeepTempo has opened an early access program, allowing organizations to experience their innovative approach to cyber security. The application is also available to Snowflake Native App, promising to transform how enterprises approach threat detection and response. Tempo is not just another new tool, it represents the massive efforts by cyber security companies and professionals to enhance the process of mitigating cyber attacks in this era of AI.
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