Data Detection and Response (DDR)

What is Data Detection and Response (DDR)?

Data Detection and Response (DDR) is a cybersecurity solution that combines elements of various data security solutions, including insider risk management, Cloud Access Security Brokers (CASB), Secure Access Service Edge (SASE), and traditional data loss prevention (DLP). These solutions help to identify and respond to threats within an organization’s network or infrastructure. DDR solutions serve three key purposes: stopping data exfiltration, managing insider risk, and protecting data in the cloud.

DDR continuously monitors and analyzes data activities within an organization’s network, endpoints, and cloud environments to detect anomalous patterns, unauthorized access, or suspicious behaviors that might indicate a cybersecurity threat. Rather than focusing on perimeter defenses, DDR focuses on data, allowing for real-time threat detection, immediate response, and a significantly reduced risk of unauthorized data exfiltration.

How Data Detection and Response Works

DDR solutions perform three key functions to protect data in an organization’s environment:

  • Discovery – In the discovery phase, DDR solutions log and classify all the data in an organization’s environment. By classifying data based on both content and lineage, DDR solutions determine the sensitivity of the data, which is useful for the response and remediation phase. DDR solutions also log user activity – how employees interact with data – to establish a baseline of normal behavior.
  • Anomaly Detection – DDR solutions can then detect any unusual behavior, using the data collected in the discovery phase. For example, if an employee attempted to access data that is outside of the scope of their professional role, this would be considered anomalous behavior.
  • Response and Remediation – DDR solutions assume that security teams cannot respond quickly enough to an incident to prevent data exfiltration. For this reason, a core feature of DDR tools is the ability to respond to incidents automatically, blocking anomalous activity and then notifying security teams to investigate.
  • Investigation – Once the solution has blocked an exfiltration attempt, DDR solutions provide security teams with workflows that map the relevant data history. This enables the team to determine user intent, decide on corrective action, and work to prevent a similar incident from happening again.

Benefits of Data Detection and Response

Implementing a DDR solution means that organizations can:

  • Monitor data everywhere – DDR solutions allow security teams to follow data across multi-cloud environments and cloud-based Software-as-a-Service (SaaS) applications.
  • Eliminate blind spots – Unlike threat solutions that focus on infrastructure, DDR can detect threats that involve authorized accounts, not just external actors.
  • Minimize alert fatigue – By classifying data based on both content and lineage, DDR solutions reduce the risk of false positives and alert fatigue.
  • Reduce costs – By scanning only data in motion, DDR solutions focus on the most sensitive, high-risk data, reducing computational and financial costs.
  • Lessen the risk of violating data regulations – By preventing data loss, DDR solutions reduce the risk of violating data protection regulations such as GDPR or HIPAA.

The Future of Data Detection and Response

As it consolidates and improves upon more traditional data security solutions like insider risk management, SASE and CASB, Data Detection and Response will increasingly replace these solutions in the future.

As more organizations increasingly turn to the cloud to store data, more organizations will need cloud data security solutions, and DDR will be a solution to keep data safe.

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Data Detection and Response (DDR)
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