{"id":210694,"date":"2026-05-08T04:07:00","date_gmt":"2026-05-08T08:07:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/08\/why-prevention-must-replace-detection-in-modern-cybersecurity-intelligent-ciso\/"},"modified":"2026-05-08T04:15:10","modified_gmt":"2026-05-08T08:15:10","slug":"why-prevention-must-replace-detection-in-modern-cybersecurity-intelligent-ciso","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/08\/why-prevention-must-replace-detection-in-modern-cybersecurity-intelligent-ciso\/","title":{"rendered":"Why prevention must replace detection in modern cybersecurity \u2013 Intelligent CISO"},"content":{"rendered":"

Why prevention must replace detection in modern cybersecurity \u2013 Intelligent CISO<\/a><\/p>\n

https:\/\/www.intelligentciso.com\/2026\/05\/08\/why-prevention-must-replace-detection-in-modern-cybersecurity\/<\/a><\/p>\n

Publish Date: 2026-05-08 04:07:00<\/a><\/p>\n

Source Domain: www.intelligentciso.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. <\/p>\n

Insights from Check Point\u2019s Cyber Security Report 2026 reveal a fundamental shift in the threat landscape \u2013 from technical exploitation to highly sophisticated human targeting. As ransomware evolves, AI accelerates threat activity and attack surfaces expand, Ram Narayanan, Country Manager at Check Point Software Technologies, Middle East, explains that organisations must prioritise continuous exposure management, unified protection frameworks and AI-driven defence to stay resilient in an increasingly complex digital environment.<\/p>\n

Ram Narayanan, Country Manager at Check Point Software Technologies, Middle East<\/p>\n

The report describes a shift from technical exploitation to human exploitation, does this fundamentally change how organisations should think about cybersecurity?<\/p>\n

Organisations should think about a combination of technical and human exploitation. For years, cybersecurity strategies were mostly built around protecting infrastructure, patching systems and managing vulnerabilities. While those remain important, the report shows that attackers are increasingly choosing a different path, one that goes through people rather than systems.<\/p>\n

AI has changed the nature of social engineering. Messages are now highly personalised, context-aware and often indistinguishable from legitimate communication. More importantly, attacks are no longer limited to email. They span voice calls, collaboration tools, browsers and even AI applications that employees interact with daily.<\/p>\n

This means organisations need to rethink their approach. Cybersecurity is no longer just about securing networks or endpoints in isolation; it is about securing the entire user experience. Protection needs to be embedded into the way people work, rather than relying on individuals to identify threats on their own.<\/p>\n

In practical terms, this shifts the focus towards securing the workspace itself, ensuring that users are protected consistently across every channel they use. The goal is to reduce reliance on human judgement in high-risk situations and instead build environments where security is applied by default.<\/p>\n

As environments become more distributed and attack vectors multiply, how important is consistent end-to-end protection across the board?<\/p>\n

Consistency is now essential. The modern enterprise is no longer defined by a single perimeter. It is a mix of remote users, cloud services, personal devices and distributed workloads, all interacting in real time.<\/p>\n

Each of these elements introduces potential risk. When security is applied unevenly across them, gaps appear. Attackers are very effective at identifying those gaps and using them to move laterally across environments.<\/p>\n

That is why a fragmented approach to security is no longer sustainable. Organisations need a model where protection is applied uniformly, regardless of where users are or how they are connecting. This is the principle behind hybrid mesh security, where policies, visibility, and controls extend seamlessly across network, cloud, endpoint and access layers.<\/p>\n

The benefit is twofold. It reduces complexity by bringing everything under a single framework, and it strengthens security by eliminating blind spots. In a landscape where attackers operate across multiple vectors simultaneously, consistency is what ensures there are no weak links.<\/p>\n

According to your report, ransomware victims increased over 50% year-on-year. As attacks shift toward data extortion, how has Check Point adapted its prevention strategy to stop attacks earlier in the chain?<\/p>\n

Ransomware has evolved into something far more complex than file encryption. Many attacks today focus on gaining access, moving laterally and exfiltrating data before any encryption takes place. By the time the ransom demand appears, the damage is already done.<\/p>\n

This shift has required a change in how prevention is approached. The focus is no longer just on stopping the final stage of the attack, but on disrupting it much earlier. That starts with blocking initial access points such as phishing, vulnerabilities exploitation or compromised credentials. It then extends to preventing command and control communication and identifying suspicious behaviour before attackers can escalate privileges or access sensitive data.<\/p>\n

The recent VECT ransomware case is a good example of why this matters. In that instance, the malware functioned more like a data wiper, meaning recovery was not possible even if the ransom was paid. It reinforces the idea that response alone is not a viable strategy.<\/p>\n

A prevention-first approach, supported by real-time threat intelligence and rapid exposure reduction, allows organisations to stop attacks before they reach critical stages. That is ultimately what reduces both operational impact and business risk.<\/p>\n

What lessons from your report and case studies are being directly translated into Check Point\u2019s products and services?<\/p>\n

The most important lesson is that speed has become the defining factor in cybersecurity. The time between vulnerability disclosure and exploitation has reduced dramatically, which means organisations cannot rely on traditional timelines for patching or response.<\/p>\n

This has led to a shift towards continuous exposure management. Instead of periodic assessments, organisations need real-time visibility into their risk posture and the ability to prioritise and remediate quickly. Virtual patching through existing controls has become a critical capability in closing gaps before attackers can exploit them.<\/p>\n

Another key takeaway is the role of AI. Attackers are using AI to scale their operations, so defence must do the same. Threat intelligence platforms now analyse massive volumes of data in real time, using AI-driven engines to prevent threats before they execute.<\/p>\n

AI is also reshaping security operations. With capabilities like AI Copilot, teams can automate routine tasks, accelerate investigations and respond more efficiently. This is particularly important in an environment where security teams are under constant pressure to do more with limited resources.<\/p>\n

Finally, there is a clear need to simplify. Organisations are dealing with too many disconnected tools. Bringing security capabilities together across network, cloud, workspace and AI environments allows for better visibility, stronger control and more effective outcomes.<\/p>\n

The report showed voice-based scams drove US$250 million in losses in 2025. What role should employee training play; now attacks are becoming increasingly AI-generated and personalised?<\/p>\n

Employee training remains important, but its role is changing. In the past, training focused heavily on helping users identify suspicious activity. The challenge now is that many AI-driven attacks are designed specifically to avoid detection.<\/p>\n

Voice scams are a clear example. Attackers can replicate tone, urgency and context in a way that feels entirely legitimate. In some cases, employees are responding to requests that appear to come directly from trusted individuals within their organisation.<\/p>\n

This means training needs to shift from detection to awareness and response. Employees should understand that these threats exist and know how to verify requests, particularly when sensitive actions are involved. However, it is not realistic to expect users to consistently identify sophisticated attacks on their own.<\/p>\n

Security needs to take on a larger role in mitigating this risk. Controls should be able to detect and block threats before they reach the user, and safeguards should be in place to prevent high-risk actions without verification.<\/p>\n

In essence, training should support a broader security framework, not serve as the primary line of defence.<\/p>\n

The report frames AI as a \u2018force multiplier\u2019 for attackers \u2013 but how close are we to AI-driven attacks becoming fully autonomous?<\/p>\n

We are already seeing significant levels of automation in attacker activity. AI is being used to accelerate reconnaissance, generate exploits and personalise attacks at scale. Tasks that previously required time and expertise can now be executed much faster and with less human involvement.<\/p>\n

Fully autonomous attacks are not yet the standard, but they are no longer theoretical. The more immediate concern is that attacks are now operating at machine speed. That alone creates a gap that traditional, human-led defence cannot close.<\/p>\n

Addressing this requires a dual approach. On one side, AI is used to strengthen defence, analysing billions of events and enabling real-time prevention. On the other, organisations need to secure the AI systems they are deploying, from employee tools to autonomous agents and underlying infrastructure.<\/p>\n

AI is also transforming how security teams operate. With AI Copilot, teams can reduce manual effort, streamline workflows and respond more quickly to incidents. This allows organisations to keep pace with the speed at which threats are evolving.<\/p>\n

The reality is that autonomy is already sufficient to challenge existing security models. The focus now should be on ensuring that defence can operate at the same scale and speed.<\/p>\n

Based on the overall findings from this report, what specific capabilities or approach would you recommend leaders to prioritise first, and how does Check Point support that journey?<\/p>\n

The first priority is to shift towards a prevention-first model.<\/p>\n

In a landscape where attacks can develop and execute in minutes, waiting to detect and respond is no longer effective. Organisations need to stop threats before they materialise, which requires real-time intelligence, automation and consistent enforcement across the entire environment.<\/p>\n

The second is continuous exposure management. Understanding what assets exist, where the risks are and how they are being targeted needs to happen continuously, not as a periodic exercise. This allows organisations to reduce their attack surface proactively.<\/p>\n

The third is securing the workspace and the AI layer. Users are now the perimeter, and AI is both a productivity tool and a potential risk. Protecting both is essential to maintaining resilience.<\/p>\n

Check Point supports this through a unified architecture built on four pillars: hybrid mesh network security for consistent protection across environments, workspace security to protect users and collaboration tools, exposure management to reduce risk continuously, and AI security to safeguard both the use and development of AI.<\/p>\n

Alongside this, capabilities like ThreatCloud AI provide real-time threat intelligence, and the AI Copilot helps security teams operate more efficiently by automating tasks and accelerating response.<\/p>\n

The focus is on helping organisations simplify security, reduce risk and keep pace with a threat landscape that is evolving faster than ever.<\/p>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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