How DDR Can Bolster Your Security Posture

Stories from the SOC: Something smells phishy

The content of this post is solely the responsibility of the author.  LevelBlue does not adopt or endorse any of the views, positions, or information provided by the author in this article. 

Today’s threat landscape is as dangerous as it has ever been. Global unrest, emerging technologies, and economic downturn all contribute to persistently high cybercrime rates and a dire need for organizations of all types to improve their security posture.

There are standard ways of achieving a solid security posture that most of us will already be aware of: awareness training, regular patch management, and robust authentication methods are some examples. But in the face of increasingly frequent and sophisticated attacks, many traditional security methods are fast becoming inadequate.

But this fact is no reason to panic. Tools and technologies are available that stand as a bulwark against an onslaught of both internal and external threats. The most important of these is Data Detection and Response (DDR). Please keep reading to learn more about DDR, how it can bolster your security posture, and what threats it can mitigate.

What is Data Detection and Response?

Data Detection and Response (DDR) is a cybersecurity solution that identifies and responds to security incidents within an organization’s IT environment. These solutions monitor data and user activity around the clock to identify and mitigate potential threats that have already penetrated the network.

How Can Data Detection and Response Bolster Your Security Posture?

Preventing data exfiltration is DDR’s most important function and can go a long way to bolstering your security posture.

By classifying data based on its content and lineage, DDR solutions build a picture of an organization’s enterprise environment, identify the data most at risk, and establish what constitutes normal behavior. The solution can identify and act on any anomalous behavior by doing so. For example, an employee attempting to download sensitive financial information to their personal account would be deemed anomalous behavior, and the solution would either notify the security team or act to prevent the exfiltration, depending on how sophisticated the solution is.

But it’s worth looking a little deeper at what we mean by classifying data:

  • Lineage – Data lineage refers to the historical record of data as it moves through various stages of its lifecycle, including its origins, transformations, and destinations. It tracks data flow from its source systems to its consumption points, providing insights into how data is created, manipulated, and used within an organization.
  • Content – Data classification by content involves categorizing data based on its inherent characteristics, attributes, and meaning within a specific business context or domain. It considers data type, sensitivity, importance, and relevance to business processes or analytical requirements.

This distinction is important because some DDR solutions only classify data by content, which can result in false positives.

To expand upon the previous example, a DDR solution classifying data by content alone would only know that an employee was trying to download a spreadsheet full of numbers, not that the spreadsheet contained financial data; this means that even if the spreadsheet contained personal, non-sensitive data, the solution would flag this to security teams and prompt an investigation or even prevent the download. It’s essential to look for solutions that classify data by content and lineage to get the complete picture and prevent false positives.

DDR solutions also help security teams:

  • Understand data flows – DDR solutions track how employees move and use corporate data, often revealing unknown data, applications, and storage data. This extra insight allows security teams to determine what data needs additional protection.
  • Prevent risky behavior – DDR flags unusual behavior, like abnormally high-volume uploads, so security teams can respond and prevent potential security incidents. In non-sensitive data cases, the best solutions will coach users to abstain from risky behaviors and provide further context when they exhibit them.
  • Speed up investigations – DDR provides security teams with data workflows, allowing them to understand the events leading up to an incident, determine user intent, record events, and even replay an incident with screen recordings.

What Threats Does Data Detection and Response Mitigate Threats?

DDR solutions help mitigate a wide range of cybersecurity threats, including:

  • Malware Infections – DDR solutions can detect and block malware infections by analyzing file behavior, network traffic, and endpoint activity for indicators of malicious behavior, such as suspicious file downloads, execution of known malware binaries, or communication with malicious command-and-control servers.
  • Data Breaches – DDR systems help prevent data breaches by monitoring sensitive data access and transmission, detecting unauthorized attempts to exfiltrate data, and enforcing data loss prevention (DLP) policies to prevent the unauthorized disclosure of confidential information.
  • Insider Threats – DDR platforms can detect insider threats by monitoring user behavior and access patterns, identifying anomalous activities such as unauthorized data access, abnormal login attempts, or privilege escalation attempts indicative of insider misuse or compromise.
  • Advanced Persistent Threats (APTs) – DDR solutions can detect and thwart sophisticated APT attacks by correlating disparate data sources, analyzing behavioral anomalies, and identifying stealthy attack techniques such as lateral movement, privilege escalation, and data exfiltration associated with APT campaigns.
  • Zero-Day Exploits – DDR platforms leverage advanced analytics and machine learning algorithms to detect and mitigate zero-day exploits and previously unknown vulnerabilities by identifying anomalous behavior patterns and suspicious activities indicative of exploitation attempts.
  • Phishing and Social Engineering Attacks – DDR solutions can detect and block phishing emails, malicious URLs, and social engineering attacks by analyzing email content, web traffic, and user behavior for signs of phishing attempts, malicious attachments, or deceptive websites.
  • Ransomware – DDR platforms help prevent ransomware attacks by detecting and blocking ransomware infections in real-time, identifying ransomware-related behaviors such as file encryption, file modification, and unusual network activity associated with ransomware communication.

As you can see, DDR is an invaluable resource for security teams looking to bolster their organization’s security posture. However, it’s important not to rush into purchasing a DDR solution; before getting locked into a contract, be sure to shop around for the solution that best suits your needs. 

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The content of this post is solely the responsibility of the author.  LevelBlue does not adopt or endorse any of the views, positions, or information provided by the author in this article.  Today’s threat landscape is as dangerous as it has ever been. Global unrest, emerging technologies, and economic downturn all contribute to persistently high…

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