Seqrite XDR
Extended Detection and Response (XDR) is a cybersecurity platform that unifies threat detection, investigation, and response across multiple layers, such as endpoints, network, cloud, and email, into a single integrated system rather than siloed point tools. This cross-layer visibility allows XDR to detect sophisticated, multi-stage attacks that might slip past defenses focused on just one layer of the environment, such as endpoint-only EDR tools.
XDR differs from a traditional SIEM by natively integrating detection and response capabilities across security layers with built-in analytics, rather than primarily serving as a log aggregation and correlation platform that requires significant manual tuning and separate response tools. This native integration is what allows XDR to achieve meaningfully lower false positive rates and faster response times compared to a traditional SIEM, which often generates high alert volumes without built-in remediation capability.
XDR’s 40 to 70% reduction in false positives compared to traditional SIEM threat analytics comes from its source-specific, multi-pass correlation design, which cross-references signals across multiple layers before surfacing an alert, rather than flagging individual log events in isolation. This layered correlation approach filters out noise that a single-source detection system would flag as suspicious, significantly reducing the alert fatigue that overwhelms security teams using traditional SIEM tools.
XDR uses the MITRE ATT&CK framework to classify detected threats by the specific tactics and techniques attackers employ, giving security teams a standardized, actionable way to understand and prioritize what stage of an attack they’re facing. This framework-based classification also supports advanced detection rules built on custom and complex multi-system logic, going beyond simple signature matching to identify attacker behavior patterns.
Cross-layer signal correlation combines and analyzes signals from multiple sources, such as endpoints, network traffic, and cloud activity, to identify attack patterns that wouldn’t be apparent when looking at any single data source in isolation. This capability is central to detecting sophisticated attacks that deliberately spread activity across multiple systems specifically to avoid triggering alerts in any single, siloed monitoring tool.
GoDeep.AI is Seqrite’s proprietary AI engine that powers XDR’s cross-layer signal correlation, delivering higher-confidence incident detection by analyzing patterns across data sources rather than relying on single-source signature matching alone. This AI-driven correlation is a key contributor to XDR’s reduced false positive rate, since it can distinguish between genuinely suspicious multi-system behavior and coincidental but benign activity across different layers.
SIA (Seqrite Intelligent Assistant) is an AI-powered virtual security analyst built into XDR that offers predefined prompts and conversational access to incident and alert details, streamlining how analysts investigate threats. This conversational interface reduces the time analysts spend manually digging through raw data, letting them get to relevant incident context faster during time-sensitive investigations.
XDR’s design goal of enabling security operations with roughly 50% fewer SOC resources comes from combining automated alert prioritization, cross-layer correlation, and AI-assisted investigation, reducing the manual triage work that traditionally consumes analyst time. By handling the initial correlation and prioritization automatically, XDR allows a smaller team of analysts to focus their time on genuinely high-priority incidents rather than manually sorting through a high volume of low-value alerts.
Playbook automation in XDR allows organizations to configure flexible, pre-built or custom response workflows that trigger automatically or manually when specific incident types are detected, using built-in functions and connectors. This automation speeds up incident response by executing routine containment or remediation steps immediately, rather than requiring an analyst to manually perform the same repetitive actions for every similar incident.
XDR correlates data from multiple sources, including endpoints, network traffic, cloud environments, and email, rather than focusing on just one layer of the IT environment. This breadth of data sources is what enables XDR to detect attacks that span multiple systems, a capability that single-layer tools focused only on endpoints or only on network traffic can’t achieve on their own.
A single-vendor, single-dashboard XDR approach consolidates security monitoring, investigation, and response into one unified platform, reducing the operational complexity and integration overhead of managing multiple point solutions from different vendors. This unified approach also improves visibility, since analysts don’t need to pivot between separate tools with inconsistent data formats to piece together a complete picture of an incident.
XDR doesn’t replace EDR but extends it, incorporating EDR’s endpoint-level detection as one layer within a broader platform that also correlates network, cloud, and email signals for more comprehensive threat visibility. Organizations already using EDR can typically integrate it into an XDR deployment rather than needing to discard their existing endpoint investment, since XDR is designed to unify rather than duplicate detection layers.
An investigative workbench in XDR is a centralized interface where analysts can analyze related alerts as grouped incidents, trace attack sources, and review detailed activity and network information without switching between separate tools. This consolidated view speeds up investigation by keeping all relevant context, from alert details to underlying network data, accessible in one place rather than scattered across multiple systems.
XDR supports regulatory compliance and audit requirements by providing near real-time monitoring, structured incident response processes, and detailed audit logs that demonstrate an organization’s security monitoring capabilities to auditors and regulators. This built-in compliance support reduces the manual effort of compiling evidence for audits, since the platform’s own logging and reporting can serve as documentation of ongoing security operations.
XDR is the technology platform that performs detection, correlation, and response automation, while MDR is the managed service that pairs that technology with a dedicated human team to operate it on an organization’s behalf. An organization can use XDR with its own internal security team, or pair it with MDR for outsourced, expert-led operation the two are complementary rather than mutually exclusive, and Seqrite’s MDR is specifically built on its own XDR platform.