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Can XDR Be Successful In Today's Security Threats?
The Cyber Security Review | Wednesday, June 29, 2022
Cybersecurity products generally use preventive physical and software measures to protect the network and its assets from unauthorized access, modification, destruction, and misuse.
FREMONT, CA: XDR and Open XR are two new buzzwords in the cybersecurity tools market, but there are many definitions of XDR and several approaches to delivering it. So let's clear the air a little.
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Cybersecurity products generally use preventive physical and software measures to protect the network and its assets from unauthorized access, modification, destruction, and misuse. In addition, these products typically protect specific support on the web:
Firewalls: avoid unauthorized users from accessing the network by enabling or denying traffic.
Anti-Virus/Malware software: defends network endpoints and servers from infecting by damaging software that can corrupt files, delicate export data, or perform other malicious activities.
Application Security: systems look for and block susceptibility points in application software.
Network Access Control: systems manage access approvals for authorized users and devices, avoiding unauthorized users from obtaining access.
User Behavior Analytics: solutions monitor user activity, normal baseline behavior, and alert on activities that deviate from regular exercise.
Network Traffic Analysis: Network Detection and Response (NTA/NDR) products study network traffic, look for unusual patterns indicating attacks, and act contingent on the results. Network traffic does not lie and contains tactical data for threat detection.
Cloud Security: solutions shield resources in the cloud.
Intrusion Prevention Systems (IPS): watch for and block attacks from external users or processes that get past the firewall.
Security Information & Event Management (SIEM): SIEM products gather data from different device logs on the network and can monitor for anomalies. Traffic-founded NTA/NDR products complement SIEMs by analyzing records and acting. NTA/NDR is vital to advancing visibility beyond logs.
There's much to protect in a network and many approaches. Yet rather than having a dozen or more point solutions (each with its interface console) to manage, wouldn't it be easier, faster, and more efficient to have just one? That's where XDR / Open XDR comes in.
Definitions of XDR
Initial definitions of XDR – eXtended or Entirety Detection and Response – imagined it as a single platform that unites detection and response across the entire security kill chain. The idea is that contrary to operating a dozen or more separate security consoles to monitor and protect the network, XDR unifies the telemetry from those tools and presents it in a single dashboard. The more advanced products unify the data and correlate and analyze it automatically to give a prioritized list of threats with recommendations about how to neutralize them.
How can the market define XDR, specifically? That depends on who you ask. As Rik Turner, a lead analyst at Omdia who coined the XDR acronym, XDR is "a single, stand-alone solution that provides integrated threat detection and response capabilities." To meet Omdia's criteria to be classed as a "comprehensive" XDR solution, a product must offer threat detection and response functionality across endpoints, networks, and cloud computing environments.
Gartner's definition is alike in that it points to attributes such as alert and incident correlation, built-in automation, multiple streams of telemetry, multiple forms of detections (built-in detections), and multiple response methods. However, Gartner requires XDR to be accomplished through consolidating multiple proprietaries and vendor-specific security products.
Forrester's definition of XDR needs the platform to be anchored around an EDR. Therefore, it defines Native XDR as EDR incorporating a vendor's security tools; Hybrid XDR as EDR integrating with third-party security tools; an SAP (Security Analytics Platform) as a platform without built-in EDR but with built-in NAV and SOAR with third-party integrations; and SSA (Standalone Security Analytics) as those platforms that depend solely on third-party tools for telemetry sources and responses.
Open XDR
Stellar Cyber initially created open XDR with the same features Gartner mentions, except that not all the safety products/components have to be from the same vendor. Rather, the platform is open and integrates with third-party security tools. As a result, some parts are built-in, and others are added through deep third-party integrations.
The Open XDR moniker was caught by vendors relying purely on a wide ecosystem of third-party tools for telemetry sources and response but didn't offer any built-in components.
How Open XDR Helps
Open XDR addresses a key fact in organizational cybersecurity infrastructures: companies have invested heavily in security tools and don't want to give up those investments to adopt XDR. Instead, Open XDR permits companies to leverage these present investments while making them more useful by automatically correlating their data with data from other tools and sensors.
Moreover, the more advanced Open XDR platforms influence AI and machine learning to reduce analysts' "alert fatigue." For example, rather than managing thousands of alerts from a dozen or more tools, XDR combines related alerts into higher-level incidents and automatically dismisses many warnings based on what it "learns" to be normal behavior in any given environment.
Given the uprising tide of cybersecurity attacks impacting every type of organization, combined with a global shortage of cybersecurity analysts and high analyst turnover rates and burnout, any solution that enhances protection and analyst productivity is welcome. That's the real promise of XDR.
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Identity and access management benefits users, security, IT administrators, and the entire company. Study the six primary benefits of an IAM framework.
In the past, when users wanted access to a particular system, program, or another corporate resource, they were given a username and password that corresponded to the required access level.
This was a reasonable approach when the number of IT services was modest, but it didn't take long for a user to maintain a dozen or more accounts. Many end users have resorted to putting their usernames and passwords on post-it notes and sticking them to their computer monitors to keep track of them. By any security standard, this password management method is an obvious no-no. Consequently, IT needs a method to manage the increasing number of user accounts better. Identity and access control proved to be the solution (IAM).
IAM is a framework of processes, policies, and systems that manage digital identities streamlined and safely. Here are the top six benefits of identity and access management for users, security administrators, and businesses.
Make life easier for end-users: IAM solutions allow users—workers, third parties, contractors, guests, customers, vendors, and partners—to access business systems regardless of their location, the time of day, and, in many cases, the device they are employing.
IT managers can utilize IAM systems to generate a unique digital identity for each user, including a single set of credentials, rather than forcing users to manage dozens of identities for different business apps or resources.
Did you know that the average response time for help desk tickets is 7 hours and 4 minutes? If employees are kept out of their accounts for this long while waiting for the help desk to reset their passwords or enable access, the lost productivity can amount to thousands of dollars.
With single sign-on (SSO), users can access cloud-based, SaaS, web-based, and virtual apps using their unique credentials. From productivity tools, such as Microsoft 365 or Salesforce, to collaboration applications, such as Zoom or file-sharing services, SSO reduces friction in login processes and enhances UX across the board.
Eliminate complex password problems: IAM solutions prohibit users from adhering passwords to their monitors, facilitating easier sign-in processes and increasing productivity.
In reference to passwords written on sticky notes, one of the most common sources of data breaches today is compromised user credentials. Numerous IAM systems provide password management capabilities that aid security administrators in enforcing password best practices, such as minimum character lengths and frequent password updates, and robust authentication methods, such as multifactor authentication, biometrics, and role-based access. ...Read more
From manufacturing plants and energy grids to water systems and logistics hubs, industrial sectors are increasingly dependent on interconnected systems to optimize performance, automate processes, and reduce costs. Digital integration brings significant vulnerabilities that, if exploited, can lead to operational shutdowns, data breaches, physical damage, and safety hazards. Mapping assets and understanding their roles in mission-critical operations allows organizations to categorize them based on their risk profile and potential impact.
Compliance and Continuous Monitoring
While technology forms the backbone of industrial cyber risk management, human behavior and organizational culture often determine its success. Compliance with industry standards and regulatory frameworks also underpins a robust risk management strategy. For industries with national security relevance, mandatory compliance with government cybersecurity directives is often non-negotiable. Continuous monitoring is a final, critical component. Combining the tools with threat intelligence feeds and behavioral analytics enhances the ability to predict, prevent, and respond to sophisticated attacks.
Industrial cyber risk management is no longer a back-office function; it is a frontline defense against increasingly sophisticated threats. By building a layered defense strategy, cultivating a security-first culture, and embracing continuous monitoring, industries can protect not just their data but also their people, processes, and physical assets. In a world where downtime can mean disaster, proactive and adaptive cybersecurity has become the backbone of resilient industrial operations.
Building a Resilient Cybersecurity Framework
Effective industrial cyber risk management begins with a structured framework that aligns cybersecurity objectives with operational priorities. Unlike traditional IT systems, OT assets like PLCs, SCADA systems, and sensors often operate on legacy protocols and lack built-in security. A strong risk management plan includes vulnerability assessments, threat modeling, and network segmentation. Threat modeling anticipates potential attack vectors by considering how adversaries might infiltrate systems or move laterally within networks.
Network segmentation is a critical tactic in minimizing the blast radius of a cyberattack. By isolating OT systems from the broader IT network using firewalls, DMZs (demilitarized zones), and strict access controls, organizations can limit exposure and contain threats more effectively. Regular patch management and firmware updates also play a key role, as many industrial cyberattacks exploit outdated systems. Where updates cannot be applied due to compatibility issues, compensating controls such as intrusion detection systems (IDS), endpoint protection, and real-time monitoring must be deployed. ...Read more
Organizations are under increasing pressure to upgrade their cybersecurity posture, yet many lack the resources to establish a complete in-house security leadership team. This challenge promotes the rapid use of virtual chief information security officer services. Businesses rely on external security specialists to provide on-demand strategic assistance, risk management, and compliance oversight. The concept is ideal for firms seeking high-level expertise without the expense and complexity of a permanent executive position. Rising digital risks and regulatory expectations continue to propel vCISO services into the mainstream, transforming how businesses approach security leadership.
Growing Demand for Flexible Security Leadership
More organizations now view vCISO services as an essential part of their security strategy. Many operate in dynamic environments where threats shift quickly, and internal teams often struggle to keep pace. A virtual security leader fills this gap by providing ongoing oversight, policy development, and incident readiness tailored to each business.
Smaller and mid-sized companies see substantial value in the vCISO model because it grants access to senior expertise at a manageable cost. Larger enterprises also tap into virtual security leadership to support regional operations, handle specialized projects, or bridge leadership gaps during transitions. The shift toward remote work and distributed systems makes flexible leadership even more relevant, as companies need continuous monitoring and rapid decision-making.
Industries with strict compliance requirements increasingly depend on vCISO guidance. External specialists help organizations interpret evolving standards and structure long-term programs that reduce exposure. This practical support enables companies to stay ahead of audits, certifications, and legal obligations while building a more resilient security culture.
Focus on Proactive Risk Management and Scalable Models
vCISO services now emphasize proactive security rather than reactive response. Providers implement structured risk assessments, develop scalable frameworks, and introduce security metrics that support informed decision-making. Stakeholders gain a clear view of vulnerabilities, threat patterns, and business impact, allowing them to prioritize investments more effectively.
Scalability represents another major trend. vCISO engagements now adapt to the client’s maturity level, whether a company requires basic governance or a comprehensive transformation. Modular service packages allow organizations to expand or reduce support as their needs change. This approach creates a long-term partnership rather than a one-time consultation.
Technology integration also strengthens modern vCISO models. Security leaders rely on advanced monitoring tools, automation, and analytics to enhance visibility. These capabilities allow experts to detect abnormalities early and guide swift remediation. Organizations benefit from structured processes that support continuous improvement, incident preparedness, and stronger defense strategies. ...Read more
In this hyper-connected era, it is difficult to overstate the significance of robust cybersecurity solutions. As businesses become more reliant on digital tools and data models, the chance of a cyberattack increases. Cybersecurity is no longer a niche concern; rather, it has become central to organizational strategy.
New threats require new defenses; hence, those that can transform, mitigators, must also evolve. Any business attempting to maintain trust, abide by regulations, and protect its assets must stay one step ahead of these ever-changing cybersecurity trends. Understanding the trends and adapting the right solutions is, therefore, a foundational piece to ensure the future safety of any organization.
How Can Cloud Security and Data Protection Be Ensured?
Cloud security has become an urgent issue as more and more companies migrate their operations to the cloud. Cloud platforms have given businesses the necessary flexibility and scalability for data storage and access, but they have also come with vulnerabilities. Some of the threats associated with the cloud infrastructure include data breaches, unauthorized access, and insecure third-party integrations. In response to these threats, organizations are adopting ultra-modern encryption approaches, multi-factor authentication, and more controls over access to secure sensitive information.
The innovative cybersecurity solutions are offering real-time threat detection with automated responses, thus significantly minimizing damage from breaches. As the adoption of cloud grows, these security solutions will change and become more mature in the protection of organizations against various cyber threats.
AI and ML are changing how cyber threats are countered by proactively defending organizations against risks that are changing every second. Applied security has worked well in some cases, but routinely falls short of securing modern enterprise setups due to performance and supporting execution. AI and ML algorithms are capable of performing in-depth analysis of big datasets within a short time and determining the pattern of behavior or detecting any anomalous behavior that suggests a potential threat. With the help of these technologies, businesses are able to identify and respond to cyberattacks in a matter of seconds, sometimes even before these attacks can escalate into full-blown incidents.
By automating threat detection and response abilities in real time, businesses can limit the time it takes to minimize security risks and mitigate damages caused during an attack. The role of AI and ML will therefore become even more stringent as cybercriminals refine their art of deception against traditional measures.
What is the Zero Trust Security Framework?
Zero Trust security is growing in importance as companies employ more decentralized networks and promote work-from-home paradigms. The perimeter-based security model hardly suffices in today's mobile-dependent world, where access is granted through location and device.
The Zero Trust thought process works on the assumption that any user and device trying to access the system, be it inside or outside the network, cannot be trusted by default. Therefore, no access is given without rigorous verification, and once verified, only the minimum possible access is granted. This can exceptionally help in putting these checks in place against insider threats and external breaches. By far, as businesses are embracing remote and hybrid working, the Zero Trust framework will keep gaining more prominence and offer a complete, modern solution for the various areas in cybersecurity. ...Read more
