DeepTempo Tempo uses deep learning and a large language model called LogLM to detect cybersecurity incidents by analyzing log data within Snowflake's environment. The solution identifies anomalies in network traffic and provides contextual information including MITRE ATT&CK patterns and impacted entities. It integrates with security tools like Splunk, reduces false positives, and can decrease data ingestion costs by up to 80%. Optimized for Netflow and VPC flow logs, Tempo operates as a Snowflake Native App while maintaining data privacy, compliance, and leveraging Snowflake's high availability and security controls.
