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What is Endpoint Detection and Response?

Philip Robinson | 5 min read| Updated On - March 8, 2024

Endpoint Detection and Response

As increasingly more employees are either accessing their company’s network remotely or bringing their own devices into the workplace, the demand for solutions that monitor endpoints has accelerated. After all, each and every device that connects to our network is a potential threat to our systems and data.

What is Endpoint Detection and Response?

Endpoint Detection and Response (EDR) is a cybersecurity solution that monitors end-user devices like desktop computers, laptops, servers, and mobile devices for threats like ransomware and malware. It uses data analytics to detect suspicious system behavior, proactively blocking malicious activity and providing remediation suggestions. Endpoint detection and response combines continuous monitoring with automated response, collecting activity data from endpoints to identify potential threats. When threats are detected, it responds automatically to remove or contain them. This comprehensive approach ensures that end users, devices, and assets are protected against cyberthreats that bypass traditional security measures.

How Endpoint Detection and Response Works

Endpoint Detection and Response employs advanced detection techniques, such as machine learning and heuristic analysis, to identify malicious behavior and unauthorized access in real-time. EDR systems collect and analyze endpoint data, including endpoint processes, registry changes, event logs, and network traffic, to establish a comprehensive understanding of endpoint activity. When a potential threat is detected, EDR solutions provide automated response capabilities, such as blocking suspicious processes, isolating infected endpoints, and providing security alerts.

Continuous Collection of Endpoint Data: Endpoint Detection and Response continuously collects a wide range of data from endpoint devices on the network, including processes, performance, configuration changes, network connections, file transfers, and user behaviors. This data is stored in a central repository for analysis and threat detection. Lightweight agents are installed on endpoints to facilitate data collection.

Real-time Threat Detection & Analysis: Endpoint Detection and Response uses advanced analytics and machine learning to identify known threats and suspicious activity in real time. It detects Indicators of Compromise (IOCs) and Indicators of Attack (IOAs) by correlating endpoint data with threat intelligence services. EDR compares real-time data to historical data and baselines to identify anomalies and threats. It separates legitimate threats from false positives and integrates with Security Information and Event Management (SIEM) solutions for context and threat management.

Automated Threat Response: Upon threat detection, EDR alerts security analysts and prioritizes alerts based on severity. It can generate reports that trace incidents to their root cause. Endpoint Detection and Response can also disconnect endpoints, halt processes, and prevent malicious file execution. It can trigger antivirus or anti-malware scans and automatically apply updates and patches to eliminate vulnerabilities.

Threat Isolation and Remediation: Forensic analytics are used to identify root causes, impacted files, and exploited vulnerabilities. Endpoint Detection and Response provides remediation tools to destroy malicious files, restore settings, and patch vulnerabilities. By updating detection rules, EDR proactively prevents similar incidents from recurring.

Support for Identifying Undetected Threats: Endpoint Detection and Response supports threat hunting, where security analysts search for undetected threats. Endpoint Detection and Response provides UI-driven or programmatic interfaces for data queries, correlations, and investigations. Threat hunting tools leverage EDR capabilities for advanced detection and analysis.

Key Components of Endpoint Detection and Response

Endpoint Detection and Response functionality revolves around monitoring endpoints and collecting granular data on various aspects of their operations, including processes, connections, activity volume, and data transfers. Additionally, EDR employs automated response mechanisms based on pre-configured rules. When EDR recognizes a security incident that matches these rules, it automatically triggers appropriate responses, such as logging off suspicious users or sending out alerts. However, Endpoint Detection and Response capabilities extend beyond automated responses. Its advanced analytics capabilities allow it to evaluate and correlate data to identify threats that may not be covered by pre-defined rules. This enables EDR to detect and investigate past breaches, understand exploit mechanisms and entry points, and actively hunt for undetected threats such as malware.

Below are the key components of Endpoint Detection and Response:

  1. Enhanced Visibility & Analytics – EDR’s comprehensive visibility and advanced analytics empower security teams to proactively uncover stealthy and sophisticated attackers. By leveraging Indicators of Attack (IOAs) and behavioral profiling, EDR can detect anomalous activities and identify potential threats that traditional approaches may miss.
  2. Threat Intelligence Integration – Endpoint Detection and Response integrates with threat intelligence feeds to enhance detection capabilities. This integration provides contextualized information on malicious techniques, tactics, and procedures (TTPs), enabling security analysts to rapidly identify and respond to emerging threats.
  3. Managed Threat Hunting – EDR offers managed threat hunting services to bolster proactive defense strategies. Experienced threat hunters collaborate with security teams to investigate and remediate threats before they escalate, ensuring a proactive and collaborative approach to threat mitigation.
  4. Comprehensive Endpoint Visibility – EDR provides real-time and historical visibility into all endpoint events, encompassing a wide range of activities such as network connections, process executions, user account logins, and file modifications. This comprehensive visibility empowers security teams to monitor endpoint behaviors closely and identify any suspicious or unauthorized activities.
  5. Accelerated Investigations – EDR operates as a centralized hub that seamlessly integrates data collection, correlation, analysis, and response coordination. Security analysts can rapidly access detailed information and context for both historical and real-time data, empowering them to effectively triage and resolve threats.

Why is Endpoint Detection and Response Important?

EDR is a critical tool for organizations to protect themselves from cyberattacks. Traditional security measures, such as firewalls and antivirus software, are no longer sufficient to prevent breaches as adversaries have become more sophisticated and can easily bypass these defenses. Once an attacker gains access to a network, they can remain undetected for an extended period of time. Silent failures in security monitoring can allow attackers to create back doors and establish persistence, making it difficult to detect and respond to their presence. EDR provides organizations with the visibility, intelligence, and response capabilities they need to detect and respond to threats effectively.

If you’d like to see how the Lepide Data Security Platform can help you detect and respond to security incidents, start your free trial today.

Philip Robinson
Philip Robinson

Phil joined Lepide in 2016 after spending most of his career in B2B marketing roles for global organizations. Over the years, Phil has strived to create a brand that is consistent, fun and in keeping with what it’s like to do business with Lepide. Phil leads a large team of marketing professionals that share a common goal; to make Lepide a dominant force in the industry.

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