Introducing new Vectra AI Platform coverage for Copilot and Microsoft Azure

Vectra AI Japan、ITR発行の最新レポート内「NDR市場」にて国内トップシェアを獲得

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Research & Insights

Expert insights from Vectra AI data scientists, product engineers and security researchers empower your SOC analysts to make faster, smarter decisions.

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EDR

As cybersecurity threats evolve in complexity and stealth, relying solely on Endpoint Detection and Response (EDR) may leave gaps in your organization's defense strategy. While EDR plays a critical role in monitoring and responding to threats at the endpoint level, it is not comprehensive.

A study by the Ponemon Institute reveals that organizations utilizing both EDR and NDR solutions report a 50% faster response time to threats compared to those using EDR alone.
A 2021 Study found 94% of the top 26 EDR solutions could be bypassed using at least one standard evasion method.

Despite AI and machine learning advancements, many EDR systems primarily use rule-based methods for identifying behaviors and patterns.

Network Detection and Response (NDR) complements EDR by providing visibility into network behaviors and anomalies, offering a more holistic approach to cybersecurity.

Understanding how EDR and NDR work together can empower your security teams to detect and respond to threats more effectively, ensuring a robust security posture.

FAQs

What is Endpoint Detection and Response (EDR)?

EDR is a cybersecurity technology that monitors endpoint and network events while recording the information in a centralized database for further analysis, detection, investigation, reporting, and alerting.

What are the limitations of EDR?

EDR solutions may not detect threats that do not have a footprint on endpoints, such as encrypted traffic anomalies, and can be bypassed by sophisticated attackers aware of EDR's endpoint focus.

Why is combining EDR with NDR essential for security teams?

Combining EDR with NDR ensures comprehensive coverage across both endpoints and network traffic, enabling security teams to detect and respond to a wider range of threats, including those that EDR alone might miss.

Can NDR detect threats that EDR cannot?

Yes, NDR can detect lateral movement, encrypted threats, and other sophisticated attacks within network traffic that EDR might not be equipped to identify.

Why does EDR need to be combined with NDR to enhance threat hunting capabilities?

NDR provides detailed insights into network behavior, allowing security teams to proactively hunt for threats based on network anomalies, patterns, and indicators of compromise that are not visible at the endpoint level.

How does EDR detect malicious behavior?

EDR detects malicious behavior through a combination of static (signature-based), dynamic (looking at how the code executes in a sandbox), and behavior-based analysis, identifying anomalies that may indicate a threat.

What is the difference between EDR and NDR?

EDR focuses on detecting and responding to threats at the endpoint level, while NDR monitors network traffic to identify suspicious activities, providing visibility into threats that bypass endpoint defenses.

How do security teams measure the effectiveness of their EDR and NDR strategy?

Effectiveness is measured through reduced detection and response times, accuracy of threat identification, and the ability to prevent breaches by detecting threats earlier in the attack chain.

How does EDR facilitate threat hunting?

EDR systems collect and analyze vast amounts of data from endpoints, providing SOC teams with the intelligence needed to proactively search for indicators of compromise or unusual behavior patterns at the endpoint level.

Why is Vectra AI's approach to NDR considered more effective than traditional EDR solutions?

Vectra AI's NDR solution leverages advanced AI and machine learning to provide deeper insights into network behaviors, delivering superior threat detection, and response capabilities beyond what traditional EDR solutions can offer.