Data Detection and Response (DDR):
There’s a unanimous consensus that data is the lifeblood of organizations. From customer records to intellectual property, the explosion of information creates tremendous value – and equally tremendous risk. The pace of cyberattacks accelerates relentlessly, with disastrous data breaches becoming a mainstay in news headlines and the associated costs skyrocketing. Current approaches to data security are woefully inadequate since they only partially address the evolving data protection challenges. The need for proactive, data-centric protection is undeniable, as data is always moving.
The Shift: Why Traditional Data Security Is Insufficient
Legacy data security was built on the concept of laos whatsapp number data a well-defined perimeter. Think of it like a castle: Strong walls keep the bad guys out, and data is safe inside. But the modern IT landscape is no castle. Data lives in the cloud, on mobile devices, scattered across software-as-a-service (SaaS) platforms, and accessed by a dispersed workforce. The perimeter is porous, if it exists at all.
This shift has profound implications:
Firewalls, data loss prevention, and intrusion detection systems are still important, but data often flows outside their purview. These security controls only catch a glimpse of the data flows.
Data doesn’t just live inside protected servers anymore, increasing the complexity of tracking and control.
Even authorized users can be risky – through accidental exposure, phishing attacks leading to compromised accounts, or outright malicious intent. And without knowing your data, you can’t exercise meaningful behavioral analysis.