Panther alleviates the pain of traditional SIEM with detection-as-code, a robust security data lake, and huge scalability with zero-ops.
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Process and retain all of your security data with zero-ops and cloud-first workflows
Identify suspicious activity as soon as it happens across your entire environment
Build a high-fidelity alerting pipeline with Python, version control, unit tests, and CI/CD
Transform raw logs into a structured data warehouse for security at scale
We’re reinventing security operations for the cloud-first world, making detection and response at scale refreshingly practical.
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Inductees to the ET30 are on a fast track of growth to change how business is done and are expected to be future IPOs and multi-billion dollar exits.
Panther Labs was recognized for its achievements as part of Snowflake’s partner ecosystem, helping joint customers’ security teams analyze large amounts of security data with code-driven automation and developer-friendly workflows.
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Analyze your data, triage alerts, and remediate incidents using the tools your teams love
Every security engineer knows this feeling… you’ve spent hours, days, or even weeks developing a new detection for your SIEM. Let’s say in this case, to alert you when a user bypasses MFA without an authorized bypass code. You’ve done your research, prepared your team, and are ready to deploy your newly made detection. Little […]
Detect suspicious activity in real-time, transform raw logs into a robust security data lake, and build a world-class security program with Panther.
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