Demystifying DDR: Your Questions Answered – projectcubicle>
Project Cubicle – Katrina Thompson
What is DDR
DDR is an innovative approach to cybersecurity that continuously monitors and analyzes data activities across an organization’s network, endpoints, and cloud environments
It represents a paradigm shift by prioritizing data safeguarding and swift threat response
How DDR is Different:
DDR integrates existing threat technologies like IRM, CASB, SASE, and DLP
It classifies data not just by content but also by data lineage and context
Unlike DLP, DDR attaches security controls directly to the data itself rather than environments
Advantages of DDR:
Provides more accurate data classification by using lineage and context
Can monitor data continuously as it moves across apps, devices, and cloud
Enables real-time response to block data exfiltration attempts
Covers data across all assets, not just specific storage locations
Addressing DLP Shortcomings:
DLP struggles with continuous data classification improvements
DLP has a narrow view focused on predefined patterns and areas
DDR can detect sensitive data even in unstructured formats like ML models
DDR generates fewer false positives by utilizing advanced analytics
In essence, DDR takes a data-centric approach to continuously monitor, accurately classify, and autonomously respond to data exfiltration threats across the entire enterprise IT environment in real-time.
Link: https://www.projectcubicle.com/demystifying-ddr-your-questions-answered