SESSION

AI-Powered EDR: Streamlining Blackberry Cybersecurity with Databricks

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Governance
INDUSTRYEnterprise Technology
TECHNOLOGIESDelta Lake, GenAI/LLMs, Governance
SKILL LEVELIntermediate

Cybersecurity incidents are costly, and using an endpoint detection and response (EDR) solution enables the detection of cybersecurity incidents as quickly as possible. To effectively detect cybersecurity incidences requires the collection of millions of data points and the storing and querying of endpoints data presents considerable engineering challenges without creating internal data silos. Databricks tooling enabled us to break down our data silos and iteratively improve our EDR pipeline to ingest data faster and reduce querying latency by more than 20% while reducing costs by more than 30%. In this session, we will share the journey, lessons learned, and the future for collecting, storing, governing, and sharing data from endpoints in Databricks. The result of building EDR using Databricks helped us accelerate the deployment of our data platform and power our cybersecurity co-pilot.

SESSION SPEAKERS

Justin Lai

/Distinguished Data Architect
BlackBerry

Digan Parikh

/Sr. Solutions Architect
Databricks