reach critical stages. That is ultimately what reduces both operational impact and business risk.
What lessons from your report and case studies are being directly translated into Check Point’ s products and services?
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.
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.
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.
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.
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.
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?
Employee training remains important, but its role is changing. In the past, training focused heavily
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