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.
Designed to deliver full visibility across AWS logs with real-time detection of threats and security risks.
Out-of-the-box detections and rules to monitor activity in Snowflake and validate security configurations.
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.Read More
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 […]