Cyber Security
It’s Time to Debunk XDR Misconceptions Floating Around

Written by Yossi Naar, Chief Visionary Officer, and Cofounder, Cybereason
Extended Detection and Response (XDR) is everywhere today, and it seems that every company is rolling out a strategy and products to meet the growing demand. According to the industry analyst firm Gartner, XDR is “a SaaS-based, vendor-specific, security threat detection and incident response tool that natively integrates multiple security products into a cohesive security operations system that unifies all licensed components.”
Notwithstanding XDR’s tremendous growth in adoption, more than a few misconceptions about XDR remain, so let’s debunk three of those myths here:
Myth 1: XDR is all about Endpoint Security
No, that’s what Endpoint Detection and Response (EDR) does, which is just one aspect of what XDR delivers. EDR solutions focus solely on the endpoint, and they don’t correlate intelligence from the cloud and other parts of an organization’s infrastructure.
In fact, most EDR platforms are not even capable of ingesting all of the relevant endpoint telemetry and are forced to “filter out” intelligence without even knowing if that information is critical to making a detection because the solutions cannot handle the volumes of data generated.
Indeed, there are vendors that simply cannot ingest all available telemetry for EDR, yet they profess to be able to deliver an XDR solution that ingests endpoint data plus an array of telemetry from numerous other sources on the network and in the cloud.
Data filtering negatively impacts the ability to proactively thwart attacks because it omits telemetry that could allow for earlier detection of malicious activity. When broadened to include non-endpoint sources, data filtering can further distort an organization’s visibility into the threats confronting them.
XDR does not suffer from these limitations. It extends continuous threat detection and monitoring as well as an automated response to endpoints, applications, cloud workloads, and the network…all without data filtering. This helps to ensure the high fidelity of a threat detection yielded by XDR.
Myth 2: XDR Should be Augmented by a SIEM
It’s true that XDR delivers some of the same functionality as SIEM (Security Information and Event Management) tools. Chief among their similarities is the ability to aggregate and correlate data from a variety of sources spread across an organization’s infrastructure, thereby providing the required visibility for threat detection, investigation and response.
But there are several key factors that hold SIEMs back: SIEMs are nothing without the data lake structure and cloud analytics they need to centralize security events. Those resources vary in the types and quality of data to which they have access, a reality that affects the value and effectiveness of a SIEM.
There are also the costs, time, and other resources involved with building, tuning, and maintaining a SIEM. Tuning is an especially common pain point with SIEMs. Indeed, these tools frequently generate false positives and an overwhelming volume of alerts.
Such noise contributes to “alert fatigue” in the organization, motivating infosec personnel to overlook the deluge of alerts coming in and miss opportunities to launch investigations at the earliest signs of an incursion. Simultaneously, SIEMs don’t do much to help security teams with executing a response beyond generating a lot of alerts that need to be manually triaged.
XDR, by contrast, doesn’t require any data lake structure. It correlates alerts across disparate network assets to deliver actionable intelligence that works to reduce alert fatigue. What’s more, XDR enables security teams to build automated playbooks using the platform itself, thereby streamlining response.
Myth 3: All XDR Platforms Are Created Equal
No. Consider the fact that there’s hybrid/open vs. native XDR. The latter only offers integrations to other security tools developed by the same vendor. This can lock customers into an agreement with a vendor that might not offer the security capabilities they need to protect their systems and data. It also means existing investments in solutions from other vendors cannot be fully realized.
In contrast, Open (or hybrid) XDR takes a collective approach that leverages multiple security tools, vendors, and telemetry types to meet organizations’ needs from within a single detection and response platform. There’s no vendor lock-in here. Security teams are free to choose the vendors and tools they want, allowing them to get the most out of their XDR platform, and the DevOps and API integrations enable personnel to bring these tools and telemetry sources together.
There’s also an argument to be made about what defines a truly mature XDR offering versus pseudo-XDR solutions that are basically nothing more than an EDR tool with cloud integration. All XDR platforms integrate with threat intelligence to spot known Indicators of Compromise (IOCs), but only an advanced XDR solution can detect them based on Indicators of Behavior (IOBs).
IOBs are the more subtle signs of an attack in progress which include otherwise benign activity one would expect to see occurring on a network. When these “legitimate” behaviors are chained in certain sequences, they produce conditions that are either exceedingly rare or represent a distinct advantage for an attacker.
This is where the context-rich correlations across endpoints, the cloud, application suites, and user identities that a mature XDR solution delivers are critical for detecting malicious activity at the earliest stages of an attack. Take ransomware attacks for example – most security solutions are focused on detecting the exploit and blocking the ransomware payload, or rolling back the encryption after the attack was successful. But the detonation of the ransomware executable is the tail end of what is actually a much longer attack sequence, with weeks or even months of detectable activity from initial ingress, to lateral movement, to credential abuse and privilege escalation, to name a few.
An AI-driven XDR solution can make the necessary correlations to detect that activity long before the ransomware payload is delivered, reducing a potentially devastating attack to the level of an intrusion attempt or similar. Additionally, the ability to leverage AI/ML to correlate telemetry from across an organization’s infrastructure is a key aspect of a mature XDR solution. The application of AI/ML allows Defenders to move from a detect and respond mode to a more proactive “predictive response” posture where the next steps an attack can and would take are instantly anticipated and blocked, eliminating the opportunity to progress the attack to the next stage.
This predictive capability is the key to the future of security, enabling organizations to “defend forward” by understanding attacks from an operation-centric approach, where analysts are freed from chasing alerts that point to individual elements of an attack in favor of a holistic view of the entire attack story from root cause to every affected device, system and user. And only an AI-driven XDR solution can deliver this “predictive response” capability that will shorten detection and remediation periods from days or weeks down to minutes.
The AI-Driven XDR Advantage
An AI-driven XDR solution enables organizations to embrace an operation-centric approach to security that delivers the visibility organizations require to be confident in their security posture across all network assets, and the automated responses to halt attack progressions at the earliest stages. This approach also provides defenders with the ability to predict, detect and respond to cyberattacks across the entire enterprise, including endpoints, networks, identities, cloud, application workspaces, and more.
Cyber Security
Axis Communications Sheds Light on Video Surveillance Industry Perspectives on AI

Axis Communications has published a new report that explores the state of AI in the global video surveillance industry. Titled The State of AI in Video Surveillance, the report examines the key opportunities, challenges and future trends, as well as the responsible practices that are becoming critical for organisations in their use of AI. The report draws insights from qualitative research as well as quantitative data sources, including in-depth interviews with carefully selected experts from the Axis global partner network.
A leading insight featured in the report is the unanimous view among interviewees that interest in the technology has surged over the past few years, with more and more business customers becoming curious and increasingly knowledgeable about its potential applications.

Mats Thulin, Director AI & Analytics Solutions at Axis Communications
“AI is a technology that has the potential to touch every corner and every function of the modern enterprise. That said, any implementations or integrations that aim to drive value come with serious financial and ethical considerations. These considerations should prompt organisations to scrutinise any initiative or investment. Axis’s new report not only shows how AI is transforming the video surveillance landscape, but also how that transformation should ideally be approached,” said Mats Thulin, Director AI & Analytics Solutions at Axis Communications.
According to the Axis report, the move by businesses from on-premise security server systems to hybrid cloud architectures continues at pace, driven by the need for faster processing, improved bandwidth usage and greater scalability. At the same time, cloud-based technology is being combined with edge AI solutions, which play a crucial role by enabling faster, local analytics with minimal latency, a prerequisite for real-time responsiveness in security-related situations.
By moving AI processing closer to the source using edge devices such as cameras, businesses can reduce bandwidth consumption and better support real-time applications like security monitoring. As a result, the hybrid approach is expected to continue to shape the role of AI in security and unlock new business intelligence and operational efficiencies.
A trend that is emerging among businesses is the integration of diverse data for a more comprehensive analysis, transforming safety and security. Experts predict that by integrating additional sensory data, such as audio and contextual environmental factors caught on camera, can lead to enhanced situational awareness and greater actionable insights, offering a more comprehensive understanding of events.
Combining multiple data streams can ultimately lead to improved detection and prediction of potential threats or incidents. For example, in emergency scenarios, pairing visual data with audio analysis can enable security teams to respond more quickly and precisely. This context-aware approach can potentially elevate safety, security and operational efficiency, and reflects how system operators can leverage and process multiple data inputs to make better-informed decisions.
According to the Axis report, interviewees emphasised that responsible AI and ethical considerations are critical priorities in the development and deployment of new systems, raising concerns about decisions potentially based on biased or unreliable AI. Other risks highlighted include those related to privacy violations and how facial and behavioural recognition could have ethical and legal repercussions.
As a result, a recurring theme among interviewees was the importance of embedding responsible AI practices early in the development process. Interviewees also pointed to regulatory frameworks, such as the EU AI Act, as pivotal in shaping responsible use of technology, particularly in high-risk areas. While regulation was broadly acknowledged as necessary to build trust and accountability, several interviewees also stressed the need for balance to safeguard innovation and address privacy and data security concerns.
“The findings of this report reflect how enterprises are viewing the trend of AI holistically, working to have a firm grasp of both how to use the technology effectively and understand the macro implications of its usage. Conversations surrounding privacy and responsibility will continue but so will the pace of innovation and the adoption of technologies that advance the video surveillance industry and lead to new and exciting possibilities,” Thulin added.
Artificial Intelligence
CyberKnight Partners with Ridge Security for AI-Powered Security Validation

The automated penetration testing market was valued at roughly $3.1 billion in 2023 and is projected to grow rapidly, with forecasts estimating a compound annual growth rate (CAGR) between 21% and 25%. By 2030, the sector is expected to reach approximately $9 to $10 billion. The broader penetration testing industry is also expanding, with projections indicating it will surpass $5.3 billion by 2027, according to MarketandMarket.
To support enterprises and government entities across the Middle East, Turkey and Africa (META) with identifying and validating vulnerabilities and reducing security gaps in real-time, CyberKnight has partnered with Ridge Security, the World’s First Al-powered Offensive Security Validation Platform. Ridge Security’s products incorporate advanced artificial intelligence to deliver security validation through automated penetration testing and breach and attack simulations.
RidgeBot uses advanced AI to autonomously perform multi-vector iterative attacks, conduct continuous penetration testing, and validate vulnerabilities with zero false positives. RidgeBot has been deployed by customers worldwide as a key element of their journey to evolve from traditional vulnerability management to Continuous Threat Exposure Management (CTEM).
“Ridge Security’s core strength lies in delivering holistic, AI-driven security validation that enables organizations to proactively manage risk and improve operational performance,” said Hom Bahmanyar, Chief Enablement Officer at Ridge Security. “We are delighted to partner with CyberKnight to leverage their network of strategic partners, deep-rooted customer relations, and security expertise to accelerate our expansion plans in the region.”
“Our partnership with Ridge Security is a timely and strategic step, as 69% of organizations are now adopting AI-driven security for threat detection and prevention,” added Wael Jaber, Chief Strategy Officer at CyberKnight. “By joining forces, we enhance our ability to deliver automated, intelligent security validation solutions, reaffirming our commitment to empowering customers with resilient, future-ready cybersecurity across the region.”
Cyber Security
GISEC 2025 Launches OT Security Conference Amid 49% Infrastructure Attack Surge

As operational technology (OT) cyberattacks skyrocketed 49% in 2024 – targeting power grids, oil & gas facilities, factories and transport systems – GISEC Global 2025 is responding with the launch of its pivotal new OT Security track at the Middle East and Africa’s largest cybersecurity event, currently taking place until 8th May at the Dubai World Trade Centre.
The OT-focused conference at GISEC Global tackled evolving risks, system vulnerabilities and strategies for securing critical infrastructure. Other important considerations included AI in ICS/OT Security, Quantum Computing Threat, Protecting ICS and SCADA Systems & Digital Supply Chains in the presence of top CISOs, CIOs, OT security heads and policy-makers to fortify SCADA, ICS and digital supply chains.
The global OT security market is projected to double to $44.9 billion by 2029 (as per Markets and Markets). According to research by IBM, the average cost of cyberattacks on organisations in the Middle East is $8.75 million, nearly double the global average. OT security encompasses advanced cybersecurity protocols designed to ensure the integrity, availability and safety of industrial control systems. As critical infrastructure faces escalating cyber threats, robust OT security is essential for maintaining continuity across the oil & gas, manufacturing, energy, transport and utility sectors.
In late 2024, ransomware groups accelerated attacks on industrial sectors, with manufacturing, transportation and ICS operations prime targets. Only aggressive defence, intelligence sharing and cross-sector collaboration will safeguard critical infrastructure into 2025 and beyond. The audience heard from experts on the need for modern OT protection which delved into precision AI, leveraging machine learning, deep learning and large language models.
Discussing cybersecurity threats in the maritime industry, where ships can hold up to 10,000 passengers, are driven autonomously and each country has their own set of AI regulations, Simone Fortin, Global CISO Cruise Division at MSC Cruise Division, called for streamlined regulations that can be applied to all countries around the world.
He said, “For an industry like maritime, which is regulated by the UN, it is hard to interpret how to prevent AI threats for something critical like managing a ship. The UN gives the policy a broader scale, but then everything is regulated by bilateral agreements between the states and the regulators, and implemented by companies; but then, everything is defined by the fact that you could be in international waters. And ships can be owned by one entity, managed by another while sailing under a separate flag.”
Bridging the gap between AI-powered cyber defence and critical infrastructure resilience, the OT Security Track also put the spotlight the escalating IoT/IIoT threats in the oil & gas sector, featuring frontline insights from global CISOs defending the world’s most targeted industries.
Amal Krishna, Executive Director & CISO, ONGC, said, “To combat the surge in OT cyberattacks, businesses must prioritise asset visibility, network segmentation and secure remote access – but equally critical is breaking down silos between IT, OT and engineering teams. Cyber resilience in critical infrastructure isn’t just about technology, it’s about collaboration, continuous monitoring and a security-first culture.”
Albert Vartic, Upstream OT Cybersecurity Officer, OMV Petrom, added, “Over the next five years, OT cybersecurity in the Middle East’s critical infrastructure will see significant evolution. The region’s rapid digitalisation has expanded the attack surface, making industrial systems more vulnerable – proactive measures like IEC 62443 adoption and cross-team collaboration will be essential to safeguard operational resilience.”
Exhibitors Ayman Al Issa (CPX) and Mohammed Mousa (CyberKnight) dissected the 49% surge in OT attacks, offering actionable defences for the energy, healthcare and manufacturing sectors. Mousa, OT/xIoT Consultant at CyberKnight, warns that legacy OT systems weren’t built for today’s threats.
He explained, “The escalation in intrusions is a consequence of accelerated digital transformation in industrial sectors. As organisations integrate IT and OT environments to improve efficiency and support the business, they inadvertently expand the threat surface. Furthermore, legacy systems remain in operation far beyond their intended lifespan and often lack native security controls. Meanwhile, increased reliance on remote access, third-party integrations, and limited OT-specific cybersecurity governance heightens exposure. Simply put, organisations are moving faster than their security strategies are evolving.”
For businesses and governments to stay ahead of cyber criminals, Al Issa, Director – OT Cybersecurity at CPX, emphasised the importance of undertaking risk and threat assessments to understand what assets are at risk and how potential attackers might target them, sooner rather than later. He said, “In today’s fast-shifting business landscape, organisations need to focus on identifying their most critical assets – those that are at the highest risk and that they care about the most, rather than trying to protect everything or plan for recovery across the entire business. As such, organisations should conduct in-depth threat and risk assessments specifically considering the unique characteristics of industrial control systems (ICS), including their physical consequences. This involves mapping out interdependence, potential attack vectors and consequences of downtime. Using threat intelligence and aligning with frameworks like CIS ICS Controls can help organisations monitor suspicious activity, manage vulnerabilities and create tailored incident response plans. Once this is clear, more targeted and practical defence measures can be put in place and continuously tested, using threat intelligence to stay ahead of evolving threats. Risk assessments should be continuous, evolving with technological changes and emerging threats and should be validated through regular penetration testing.”
Amr Elsayed, Regional OT/ICS Cybersecurity Specialist at CyberKnight, agrees, saying technology, collaboration and workforce training should be key priorities for businesses. He said, “To enhance OT security resilience against rising cyber threats, businesses should adopt a Zero Trust approach, enforcing least-privilege access and micro-segmentation to limit breach impact. Advanced real-time monitoring and threat intelligence sharing (ISACs, public-private partnerships) are critical for proactive defences. Additionally, maintaining accurate OT asset inventories, conducting OT-specific incident response drills and implementing risk-based vulnerability management (compensating controls, tailored patching) will strengthen security postures. Finally, OT-focused employee training ensures a security-aware workforce. By prioritising these measures – spanning technology, collaboration and workforce readiness – organisations can safeguard critical infrastructure, mitigate disruptions and build long-term cyber resilience in OT environments.”
With Middle East nations rapidly adopting digitisation into their day-to-day practices, the region is becoming a target for cyberattacks. However, the experts expect a number of measures to be put in place to protect cybersecurity infrastructure, and GISEC 2025 could be where policymakers and tech giants will draft the playbook. Al Issa added, “Over the next five years, we can expect a major shift toward structured, regulation-driven cybersecurity approaches. AI-driven OT threat detection, the widespread adoption of Zero Trust principles and deeper integration of compliance frameworks will define the regional OT cybersecurity landscape. Stricter regulatory frameworks and compliance mandates region-wide will push for better security practices.”
Organised by Dubai World Trade Centre, GISEC Global 2025 is hosted by the UAE Cybersecurity Council under the theme of ‘Securing an AI-Powered Future’, and supported by Dubai Electronic Security Center (DESC), UAE Ministry of Interior and Dubai Police.
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