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Panther Labs Partners with Snowflake to Power Enterprise SIEM Workloads

Panther Labs, a cybersecurity company specializing in cloud-scale detection and response, announced a partnership with Snowflake, the cloud data platform, to bring enterprise SIEM capabilities to Snowflake customers. Businesses that leverage Snowflake as their cloud data platform can now use Panther to collect, analyze, and alert upon terabytes of security log data in real-time at low costs.

“Some of our largest customers use Snowflake for SIEM workloads,” said Omer Singer, Head of Cyber Security Strategy at Snowflake. “But they’ve devoted entire teams to make that possible. Panther brings 200+ real-time detection rules and integrations for popular corporate, cloud, and SaaS log sources. That means any security team can quickly start using Snowflake as a security data lake for cost-effective threat detection and response.”

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Panther’s cloud-native platform for log ingestion and alerting gives security teams complete visibility across enterprise data at a fraction of the price of traditional solutions. Snowflake’s cloud data platform is fully managed and highly scalable, enabling advanced analytics across years of diverse datasets. Together, Snowflake and Panther help organizations achieve better security at scale with agility, cost efficiency, and end-to-end visibility.

“In the era of COVID-19, enterprises around the world need to limit costs without degrading mission-critical operations like security,” said Jack Naglieri, CEO at Panther Labs. “Panther offers Snowflake customers a cost-efficient, high scale replacement for traditional SIEMs. With Panther, organizations can ingest all of their security data – not a fraction of it due to restrictive licensing – and deliver greater visibility across cloud and on-prem infrastructure.”

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Omer Singer and Jack Naglieri will be hosting a LIVE webinar Thursday, June 18th at 11:00 am Pacific / 2:00 pm Eastern to unveil and demo the joint solution, followed by a Q&A session.

Key benefits Panther brings to the Snowflake ecosystem include:

  • Real-time monitoring: Analyze streaming log data with powerful Python-based rules.
  • Log analysis: Parse and normalize common log sources with unlimited data retention and snappy searches using Snowflake’s industry-leading cloud data platform.
  • 200+ built-in detections: Rapidly deploy threat detection capabilities with built-in rules and policies based on MITRE ATT&CK and CIS frameworks.
  • Notification integrations: Send alerts to popular incident response platforms such as Slack, Jira, PagerDuty, and more for incident triage and response.

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