Seqrite EDR
Endpoint Detection and Response (EDR) is a security solution that continuously monitors endpoint devices like PCs and servers for suspicious behavior, using behavioral analytics and threat intelligence to detect and respond to threats that traditional antivirus signature-matching would miss. Unlike antivirus, which primarily blocks known malicious files based on signatures, EDR focuses on detecting anomalous behavior and providing the investigative tools needed to understand and contain more sophisticated, evasive attacks.
Studies suggesting nearly 90% of cyberattacks and 70% of data breaches start at endpoint devices reflect the fact that endpoints are typically the first point of contact for phishing, malicious downloads, and other initial attack vectors. This is precisely why EDR focuses specifically on continuous endpoint monitoring, aiming to detect and contain threats at this early stage before they can spread further into the network.
Automated host isolation is an EDR response capability that immediately disconnects a compromised endpoint from the network once suspicious activity is detected, containing the threat before it can spread to other systems. This near real-time containment action, along with process termination, is critical for stopping fast-moving threats like ransomware, where every additional minute of unchecked activity increases the scope of damage.
EDR uses MITRE ATT&CK-based detection rules to identify specific attacker tactics and techniques as they occur on an endpoint, supporting custom and complex multi-system rules rather than relying solely on known malware signatures. This behavior-based approach allows EDR to detect novel or previously unseen attack methods that follow known attacker patterns, even when the specific malware or tool used hasn’t been seen before.
Offline response in EDR allows an endpoint to continue enforcing protective actions, such as process termination or isolation, even when it loses network connectivity, ensuring protection doesn’t lapse simply because a device goes offline. This capability matters particularly for laptops or remote devices that may temporarily disconnect from corporate networks, since a gap in protection during disconnection could otherwise be exploited by an attacker.
Seqrite EDR is available in both cloud-native and on-premise deployment versions, allowing organizations to choose the model that best fits their infrastructure preferences and regulatory or data residency requirements. This flexibility means organizations aren’t forced into a cloud-only model if internal policy or compliance requirements call for on-premise data handling and management instead.
An investigation workbench in EDR is a centralized tool that lets internal security teams conduct deep-dive investigations into devices, event chains, and endpoint activity themselves, reducing reliance on external incident response firms. This self-service investigative capability is particularly valuable for organizations wanting to build internal security expertise and reduce the ongoing cost of engaging outside experts for every incident.
GoDeep.AI improves EDR’s threat detection by applying machine learning to behavioral analytics and alert correlation, helping distinguish genuinely suspicious activity from benign but unusual behavior that might otherwise trigger a false alarm. This AI-driven correlation reduces the volume of low-value alerts security teams need to manually review, letting them focus attention on the incidents most likely to represent a genuine threat.
Yes, EDR supports historical threat hunting in addition to real-time detection, allowing security teams to search stored event data and perform instant queries against endpoints to uncover threats that may have gone undetected initially. This retrospective hunting capability is important because sophisticated attackers sometimes operate stealthily for extended periods, and historical data search lets teams identify indicators of compromise that weren’t flagged at the time they occurred.
IOC (Indicator of Compromise) lookup in EDR uses threat intelligence data to search historical endpoint data for known malicious indicators, such as file hashes or IP addresses, helping identify whether a specific threat has affected the environment. This capability allows security teams to quickly determine the scope of exposure to a newly identified threat by checking whether known indicators associated with it have appeared anywhere in their environment’s history.
EDR alone can detect and contain ransomware activity in progress through behavioral detection and automated response, but it doesn’t replace the need for backup and recovery solutions to restore data if encryption does occur before containment. EDR and ransomware recovery solutions serve complementary roles EDR aims to catch and stop the attack early, while backup and recovery, or a dedicated service like RRaaS, addresses restoring data if prevention wasn’t fully successful.
EDR is designed to integrate with SIEM solutions rather than replace them, feeding endpoint-specific detection data and alerts into a broader security information and event management platform for centralized visibility. This integration lets organizations combine EDR’s deep endpoint context with the broader log aggregation and correlation capabilities a SIEM provides across other parts of the IT environment.
EDR focuses specifically on endpoint-level detection and response, while XDR extends that same detection and response capability across multiple layers, including network, cloud, and email, correlating signals across all of them. Organizations typically consider upgrading from EDR to XDR when they need broader visibility beyond endpoints alone, particularly as attacks increasingly span multiple systems and layers rather than staying contained to a single device.
Action policy orchestration lets security teams configure automated response actions based on generic or custom risk-based policies, applying consistent, predefined responses to specific types of detected threats without requiring manual intervention each time. This customization allows organizations to tailor how aggressively or conservatively EDR responds to different threat types, balancing automated containment speed against the risk of disrupting legitimate business activity.
Running EDR effectively does require some in-house security expertise to interpret alerts, conduct investigations, and manage response policies, though the platform’s automation and investigation workbench reduce the depth of expertise needed compared to fully manual security operations. Organizations lacking sufficient in-house security staff to manage EDR effectively often pair it with MDR, which provides the expert team needed to operate the platform and respond to incidents on the organization’s behalf.