Security teams are inundated with data from cloud applications, making it difficult to manage security-relevant data, and detect threats across massive data sets.

What if you had a platform that could ingest petabytes of unstructured security data and turn it into a structured data lake to power security monitoring at scale? Panther does just this, providing a fast, flexible and scalable platform for threat detection and response.

Panther's Solution Engineers, Jason Zandona and Nick Kuligoski walk you through practical scenarios on how you can:

• Gain visibility into all security-relevant data

• Detect threats in real-time with analysis of streaming data

• Reduce noise with high-fidelity, Python-based detections

• Power investigations with fast queries on normalized data