"Visualize Distributed Security Risks at a Glance"… Launch of 'AhnLab XDR'

AhnLab launched 'AhnLab XDR,' a cloud-based extended detection and response (XDR) platform that enables prioritization and management of security threat risks within organizations, for the first time in Korea on the 5th.

AhnLab XDR is a Software as a Service (SaaS) 'security threat analysis platform' that collects threat information from numerous systems within an organization to provide analysis, detection, and response. It integrates and analyzes data generated from various heterogeneous solutions, ranging from security solutions to business systems such as email. It intuitively provides security risk prioritization and offers automated response using integrated solutions.

AhnLab XDR reflects the difficulties security personnel face in their actual work processes. It offers features that enhance the efficiency of security tasks, including ▲risk indexing and management centered on users and assets ▲risk analysis and response using 'scenario rules' embedded with AhnLab’s accumulated threat response know-how ▲understanding the impact of threats on the organization through threat intelligence integration.

AhnLab XDR collects log data by integrating various solutions within the organization and performs correlation and linkage analysis using artificial intelligence (AI) and machine learning. In this process, AhnLab XDR clearly identifies users and assets such as devices they own, thereby increasing risk visibility.

As a result, security personnel can easily check risk indices and detailed information for individual assets. Tags can be assigned by device, position, or job group, and monitoring by each tag is also possible. Reflecting the concerns of security personnel regarding management of new or unidentified assets, it supports quick and easy verification of information on unidentified assets.

AhnLab XDR analyzes risk severity using practical 'Scenario Rules' based on AhnLab’s years of accumulated threat response expertise. Scenario Rules are predefined rules set to analyze and detect threats according to various scenarios. For example, in a scenario involving major data leakage by an insider, the system analyzes the user’s behavior patterns over the past month, calculates thresholds for key activities, and if behavior excessively deviates from these thresholds, the XDR detects and blocks it.

Kang Seok-gyun, CEO of AhnLab, said, "As digital transformation rapidly progresses, managing cybersecurity risks has become a business competitiveness factor. With the launch of AhnLab XDR, we will provide customers with integrated management of security risks for organizational assets and support them in building a more efficient security operation environment to strengthen their business competitiveness."

This content was produced with the assistance of AI translation services.