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XDR

Extended Detection and Response (XDR)

is a cybersecurity technology that monitors and mitigates cyber security threats.

According to Gartner:

Extended detection and response (XDR) delivers security incident detection and automated response capabilities for security infrastructure. XDR integrates threat intelligence and telemetry data from multiple sources with security analytics to provide contextualization and correlation of security alerts. XDR must include native sensors, and can be delivered on-premises or as a SaaS offering. Typically, it is deployed by organizations with smaller security teams.

— Gartner, 2023 Market Guide for Extended Detection and Response

Enterprises increasingly operate in multicloud and hybrid environments, where they encounter an evolving cyberthreat landscape and complex security challenges. In contrast to targeted systems like endpoint detection and response (EDR), XDR platforms expand coverage to protect against more sophisticated types of cyberattacks. They integrate detection, investigation, and response capabilities across a wider range of domains, including an organization’s endpoints, networks, cloud applications and workloads, email, and data stores. They also drive efficiency across security operations (SecOps) with advanced cyberattack chain visibility, AI-powered automation and analytics, and broad threat intelligence.

How can we help?

We can help you learn how XDR solutions vary in maturity, cohesiveness, vision and realization, and see which XDR solution is ideal for your enterprise. Plus, understand the advantages and risks you need to consider before choosing an XDR vendor.

  • What criteria can help you evaluate XDR vendors
  • Why XDR capabilities vary widely across different vendors
  • Which factors to consider when choosing an XDR security solution

How to implement XDR

Getting the most value from an XDR platform requires careful planning, from creating a broad XDR strategy to measuring system performance. We at MaximAlert can help you with the below steps to help ensure a successful XDR implementation:

  • Assess requirements - by evaluating and documenting your organization’s specific security requirements. Identify areas of greatest risk, factoring in network size, data types, device types, and access locations. Also consider data protection and other regulations and requirements with which you must comply.
  • Goal setting – by creating an XDR strategy and roadmap that support your organization’s larger security strategy.
  • Due research - Look for a robust XDR platform with advanced AI and automation capabilities and a user-friendly interface providing real-time visibility. Find a solution that is compatible with existing systems and can be quickly deployed and scale to accommodate growing data volumes.
  • Implementation Plan - Develop a comprehensive plan for deploying, configuring, and managing the XDR system, including defining associated roles and responsibilities. Outline how to connect the system to existing infrastructure, tools, and workflows. Also, establish storage requirements for logging and telemetry data and create risk-assessment mechanisms for automated alert and incident prioritization.
  • Phased rollout - Implement and test the system in stages to minimize operational disruptions. Begin by testing the XDR system with a selection of endpoints before deploying it across the entire technological environment. Once the system is up and running, run through automated scenarios in your incident response playbook and adjust rules as needed.
  • Continuous improvement - Regularly build in time to fully assess the XDR system and its baseline data to help ensure accuracy. Also, adjust playbooks and rules as the system takes in more historical data and new cybersecurity risks emerge.

Strategic OEM alliances

Palo Alto
Trellix
Trend & Micro