NEWS: Logpoint Acquires Muninn
According to Gartner Extended Detection and Response (XDR) is a concept which provides a SaaS-based, vendor-specific security threat detection and incident response system that integrates multiple security products into a cohesive security operations system, providing a more holistic approach to cybersecurity.
XDR allows enterprises to move beyond traditional detective controls by providing a comprehensive and streamlined view of threats across the entire technology landscape. By collecting and analyzing data from multiple security domains, XDR delivers real-time, actionable threat information to security operations, leading to better and faster outcomes. The primary advantages of XDR are numerous. Firstly, it greatly improves the protection, detection, and response capabilities of businesses and organizations, providing a more proactive approach to cybersecurity. Additionally, XDR improves the productivity of operational cybersecurity staff, allowing them to focus on more complex threats rather than routine tasks. Finally, XDR offers a lower total cost of ownership for effective detection and response to security threats, making it a cost-effective solution for businesses of all sizes.
One of the most promising aspects of XDR is its ability to consolidate multiple products into a cohesive, unified security incident detection and response system. XDR is the logical evolution of endpoint detection and response (EDR) solutions into a primary incident response tool. This makes it an invaluable asset for any looking to streamline their security operations and improve their overall network security.
As cyber attackers continue to use more sophisticated tactics to infiltrate systems and compromise data, security operations centers (SOCs) are struggling to manage an ever-increasing volume of security data. This has left security teams stretched thin, especially with the added pressure of remote work, limited budgets, and scarce resources. What's needed is a comprehensive approach that unifies all security data and provides actionable insights to detect and respond to threats, both inside and outside the network perimeter.
With a barrage of threats from “lone wolf” attackers, increasingly active hacking groups, nation-states, and even insiders, cybersecurity staff and risk managers must navigate a complex web of disconnected security tools and data sets from numerous vendors. Security personnel are overwhelmed with alerts, false positives, and incomplete data, which results in a lack of coordination and integration with incident response teams. This puts organizations at risk, especially given the historic levels of operational stress that IT-security teams are currently experiencing.
To address these challenges, organizations should explore the many benefits of an XDR approach. A XDR solution brings together endpoint, network, and cloud data, using AI and machine learning to analyze complex threat patterns and identify advanced adversaries. With XDR, security teams can gain a holistic view of their security posture and respond quickly to incidents without overburdening in-house management resources.
XDR solutions or capabilities are designed to enhance security operations productivity by improving detection and response capabilities through unified visibility and control across endpoints, network, and cloud. By ingesting and distilling multiple streams of telemetry, XDR platforms can analyze tactics, techniques, and procedures (TTPs) and other threat vectors to provide complex security operations capabilities to security teams that lack the resources for custom-made point solutions. With XDR, security teams no longer have to go through daunting detection and investigation cycles, as it offers threat-centric and business context to quickly respond to threats.
The primary value propositions of XDR include:
There are numerous benefits to using an XDR approach, including:
Comprehensive Threat Detection: XDR provides visibility and detection across multiple security domains, enabling organizations to detect threats that may have gone unnoticed by traditional security solutions.
Rapid Response: XDR enables organizations to respond to threats in real-time, minimizing the impact of a security incident.
Improved Security Posture: By providing a more comprehensive approach to security, XDR can help organizations improve their security posture and reduce the risk of a breach.
Automated Threat Hunting: XDR automates routine tasks such as threat hunting and investigation, freeing security analysts to focus on more complex threats.
Integration with Existing Security Tools: XDR is designed to integrate with existing security tools, providing a single pane of glass view for security analysts to manage and investigate security incidents.
Continuous Improvement: XDR software is evolving rapidly, with new capabilities being added all the time, such as automated response and integration with security orchestration and automation tools. XDR optimizes response with advanced context, providing security teams with the tools they need to protect their networks against a wide range of sophisticated attacks.
XDR is designed to improve critical SOC functions when responding to an attack in their environment. It converts a large stream of alerts into a much smaller number of incidents that can be prioritized for manual investigation, providing integrated incident response options that have necessary context from all security components to resolve alerts quickly. XDR goes beyond infrastructure control points, including network, cloud, and endpoints, delivering comprehensive protection. Additionally, XDR provides automation capabilities for repetitive tasks to improve productivity and reduce training and up-leveling Tier 1 support by providing a common management and workflow experience across security components.
XDR also improves the detection, investigation, recommendations, and hunting functions of security teams. By combining endpoint telemetry with a growing list of security controls providers, as well as security events collected and analyzed by security information and analytic platforms, XDR can identify more and meaningful threats. Human-machine teaming correlates all relevant threat information and applies situational security context to more quickly reduce signal from noise and assist with the identification of root cause. XDR provides analysts with prescriptive recommendations to further an investigation through additional queries as well as offer relevant response actions that would most effectively improve the containment or remediation of a detected risk or threat. Finally, XDR provides a common query capability across a data repository containing multi-vendor sensor telemetry in search of suspicious threat behaviors, allowing threat hunters to locate and take action based on recommendations.
XDR security is an alternative to traditional reactive approaches that provide only layered visibility into attacks, such as endpoint detection and response, or EDR; network detection and response, or NDR; and user behavior analytics, or UBA, and security information and event management (SIEM). Layered visibility provides important information, but can also lead to problems, including:
Alert overload: The sheer volume of security alerts generated by endpoint detection and response (EDR) solutions can be overwhelming, leading to alert fatigue and causing important alerts to go uninvestigated.
Limited scope of detection: EDR solutions only detect a limited number of initial vectors of attack, leaving security teams blind to other possible threat vectors.
Complex investigations: When a breach does occur, investigations can be time-consuming and require specialized expertise, slowing down the mean time to identify and contain a breach.
Technology-focused tools: EDR solutions often focus on identifying and addressing technology gaps rather than addressing the operational needs of users and organizations. With so many different tools used in a typical Security Operations Center, security teams can spend more time managing their tools than investigating potential security incidents.
Muninn AI Detect uses advanced machine learning and AI to improve their detection capabilities and learn the behavior of all assets within your network by looking at historical security data, threat intelligence, and other relevant information. Muninn detects anomalies accurately and will alert you when real threats are being detected, reducing the number of false positives to a minimum. Muninn AI Prevent will stop the threat automatically and within a split of a second, before further damage is caused and allowing your cybersecurity team to take the right actions.
