What is data detection and response?

Endpoint detection and response (EDR) is a system that collects and analyzes information related to security threats from computer workstations and other terminals, with the aim of detecting security breaches as they occur and facilitating a rapid response to discovered or potential threats. Your data is always on the move and is extended to new people, apps and devices. Traditional data security tools can't keep up. DDR can allow organizations to adopt a data-centric approach to data protection.

By understanding the business value of data, organizations can find and control fragments and derivatives of information, assess privacy and security risks, and apply policies to address those risks now and in the future. In search of better collaboration and innovation, organizations have embraced the democratization of data, giving employees broader access to information than before. Business data often behaves like air; it's constantly changing and expanding, and it can expand and filter to unexpected places. Cyberhaven's architecture allows you to intervene when a threat is detected and to prevent data from leaving your control.

Another of Dig's competitors, Open Raven, has a platform that can automatically inventory data stores in the cloud and classify data, while allowing users to implement customized or ready-to-use data exposure policies to monitor if data is exposed outside acceptable security controls. Often, the only way to identify these attacks is to analyze activity over time and across all data sources using machine learning. Compared to other tools, Cyberhaven not only improves the detection of threats that others overlook, but it also reduces false positive alerts by 95%. Data doesn't stay on the network or in the data center, but is found everywhere, from cloud applications to data warehouses, and moves between people through messaging, collaboration tools and email.

This means that security teams can have a complete and continuously updated genealogy for their business data. Before an organization can protect its data, it must define what data is important based on what matters most to business operations. Before switching to a more data-centric approach, organizations should consider some potential obstacles to the transition and develop a plan to overcome them. Unlike black-box AI-based approaches, which require time to learn behavior and manually adjust weights to work, Cyberhaven starts by accurately detecting internal threats.

Data can leave through the web, unauthorized cloud applications, be shared from authorized cloud applications, email and removable storage devices. In this context, organizations must decide what data can access which employees can access and also where that data can be stored securely. Dig's DRR solution discovers data assets stored in the cloud in platform as a service (PaaS), infrastructure as a service (IaaS) and database as a service (DBaaS) environments and provides real-time protection and response capabilities for those assets. More than the sum of its parts, Cyberhaven replaces three data security products and does more than they could combine.

Leave Message

All fileds with * are required