Check Point’s newly minted CEO, Nadav Zafrir, kicked off the company’s CPX 2025 conference in Bangkok this week with a bold vision for the future of network security, centred on the “hybrid mesh architecture” and artificial intelligence ( AI ) -powered security.
Speaking at the game’s beginning presentation, Zafrir, a senior in the computer security market, underscored the importance of “real security” in a world saturated with buzzwords and hype. He noted that despite AI’s potential and difficulties, Check Point’s main objective is the same: to protect sensitive data and vital infrastructure from extremely complex attacks.
” We live in a hyperconnected world, rapidly evolving with the introduction of AI”, said Zafrir. A change in our view to security is required by this new dimensions. It’s not long enough to solely rely on cloud-based options. We require a versatile, flexible framework that enables businesses to use safety when and where necessary.
This platform, he said, is the cross mesh layout. A departure from the cloud-only ( SASE ) approach, it allows organisations to integrate on-premise and cloud security offerings. This freedom enables a better user experience, increased security, and lower cloud costs.
According to Zafrir, the cross mesh will enable organizations to adjust their security strategy to their specific requirements. It’s also about creating a security fabric that covers all endpoints and connections, ensuring regular protection regardless of device or location.
Nataly Kremer, Check Point’s general merchandise officer, said the cross grid layout lets companies move beyond the borders of cloud-centric SASE offerings.
The combination mesh allows businesses to set the observation point for each employ case, she said,” as opposed to forcing all visitors through the cloud.” ” This means companies can utilize the power of the sky when needed, while retaining the freedom to secure customers directly on-premise, ensuring optimal performance, cost effectiveness and, most important, security”.
Zafrir noted that Check Point had been slow to the SASE business because it could have learned from the mistakes of others and come up with the best layout. Maybe you want to link from your tree office to the internet, and you would want to get through a SASE facilities to get the security in the cloud, he said.
” But other times, you want flexibility, because you want to go immediately from your datacentre to your sky environment and you don’t want to go through a SASE architecture. And numerous times, your clients have connection to the internet, but it’s not always through SASE”.
At the event, attended by customers and partners across the Asia-Pacific area, Check Point executives even dived deeper into the company’s product strategy, including innovations in its Quantum, CloudGuard and Harmony product lines, along with advancements in AI-driven protection for both on-premise and sky environments.
These include the introduction of AIOps, a fresh cloud service designed to identify and avoid network issues before they occur, and improvements to Check Point’s web application firewall, which claim to have reduced false positives by 90 % thanks to innovative Artificial technologies.
Check Point even thinks about the development of the autonomous network, where AI makes security decisions in real time based on contextual awareness. We want AI that makes decisions in real time based on context rather than thousands of preset laws, Kremer said.
Zafrir acknowledged the wicked possibility of AI in the hands of malicious actors while addressing the growing concern about and the technology of advanced attacks.
He also pointed to threats around deepfakes, the expanding attack surface, as well as . Zafrir said it is incredibly difficult to understand where the output comes from because “attackers ] can go after your models, steal them, and poison the data that feeds your models,” adding that Check Point is developing tools to counter such threats, including tools to safeguard AI models and guard against AI-driven attacks.