Sumo Logic Fortifies Cloud Data Security with New Snowflake and Databricks Integrations

REDWOOD CITY, Calif. – January 21, 2026 – Sumo Logic, a leader in intelligent security and operations platforms, today announced the launch of its new Snowflake Logs App and Databricks Audit App. The move signals a strategic push to provide deeper visibility and stronger security analytics for two of the industry's most critical cloud data platforms, addressing the mounting challenges of managing and securing vast data estates.

The new applications, now available in the Sumo Logic App Catalog, are engineered to deliver unified, real-time insight into user activity, performance issues, and potential threats. This enhancement comes as organizations increasingly rely on Snowflake and Databricks to power their data warehousing, analytics, and burgeoning artificial intelligence (AI) initiatives, making the security and observability of these environments a top-tier concern for technology leaders.

A Strategic Play in the Cloud Data Ecosystem

This announcement is more than a simple product update; it represents a calculated move by Sumo Logic to solidify its position within the competitive cloud security and observability market. By developing purpose-built integrations for Snowflake and Databricks, the company is embedding its platform more deeply into the core infrastructure of modern enterprises.

Sumo Logic has steadily built its reputation on a cloud-native, AI-driven platform that unifies security information and event management (SIEM) and log analytics. The company's standing is supported by industry recognition, including being named a Challenger in the 2024 Gartner Magic Quadrant for SIEM and its inclusion in the 2025 Forrester Wave for Security Analytics Platforms. This history underscores a strategy focused on transforming massive volumes of log data into actionable intelligence.

The new apps align perfectly with this strategy. While many platforms can ingest logs from various sources, Sumo Logic is betting on the value of specialized applications that understand the specific operational and security nuances of Snowflake and Databricks. This approach aims to provide customers with out-of-the-box dashboards, alerts, and analytics that go beyond generic log collection, a differentiator in a market crowded with competitors like Splunk, Datadog, and Microsoft. By focusing on these two data giants, Sumo Logic is targeting the environments where its customers' most valuable and sensitive data resides.

Fortifying the Modern Data Stack

As data volumes explode, security, operations, and data teams are often left struggling for a unified view across their complex technology stacks. The new applications from Sumo Logic are designed to bridge this visibility gap, providing concrete tools for faster troubleshooting and proactive threat detection.

"Databricks and Snowflake are core to so many of our customers' overall corporate data strategies, especially with the increase in AI usage," said Keith Kuchler, Chief Product and Technology Officer at Sumo Logic, in the official announcement. "These applications give customers unified, real-time visibility across their data warehouse platforms so that they can focus on proactive detection engineering, performance optimization, and faster incident resolution."

The Snowflake Logs App directly addresses common pain points for Snowflake users. It enables security teams to:
* Analyze access patterns by monitoring login and user activity to spot anomalies that could indicate compromised credentials or insider threats.
* Optimize data pipelines by providing insights into long-running or failing queries, helping data engineering teams improve performance and reduce costs.
* Centralize log data for holistic analysis, allowing teams to correlate Snowflake events with activity from other cloud services and applications to get a complete picture during an investigation.

Similarly, the Databricks Audit App focuses on securing the unified analytics platform, which is often used for highly sensitive data science and AI workloads. Its key capabilities include:
* Centralized visibility into user activity, job executions, and administrative operations across multiple Databricks workspaces.
* Real-time detection of suspicious activities such as unauthorized access attempts, privilege escalations, or anomalous data access patterns.
* Accelerated incident response through visualizations that contextualize user activity, helping security analysts quickly understand the scope and impact of a potential incident.

Together, these tools empower organizations to move from a reactive security posture to one of proactive readiness, a core tenet of Sumo Logic's platform philosophy.

Securing the Foundation for AI Initiatives

Perhaps the most significant aspect of this launch is its direct connection to the rise of artificial intelligence. The press release explicitly links the new apps to the "increase in AI usage," a nod to the fact that reliable AI is built on a foundation of secure, well-governed data. As organizations pour resources into developing and deploying AI and machine learning models, the integrity of the underlying data platforms like Snowflake and Databricks becomes non-negotiable.

Gartner's recent Data & Analytics Summits have emphasized "AI-ready data" and improved data governance as critical enterprise trends. Sumo Logic's new integrations directly support this goal. By providing robust auditing for Databricks, the company helps organizations secure their AI development environments, protect valuable intellectual property, and ensure that only authorized personnel and processes are accessing and manipulating sensitive training data.

Furthermore, optimizing data pipelines in Snowflake with the new app ensures that the data feeding these AI models is delivered efficiently and reliably. Any performance degradation or failure in these pipelines can bring AI initiatives to a grinding halt. By monitoring for long-running queries and other operational issues, organizations can ensure their AI workloads are performant and cost-effective. The apps provide the essential security and observability layers needed to build trustworthy AI systems, helping to prevent data poisoning, model theft, and other emerging threats specific to the AI lifecycle.

This focus on the foundational data layer positions Sumo Logic as an enabler of secure AI adoption, moving the conversation beyond just model security to the entire data pipeline that supports it. As the attack surface expands with every new AI deployment, this comprehensive visibility becomes crucial for maintaining a strong security posture and fostering trust in AI-powered outcomes.