Check Point wins Frost & Sullivan recognition for WAF

Check Point has received Frost & Sullivan's 2026 Technology Innovation Leadership recognition for its web application and API protection offering. The award highlights the company's prevention-first approach to web application firewall and API security.

Frost & Sullivan's assessment focuses on Check Point WAF, which is positioned as a system for protecting web, API and AI-based applications in real time. The analyst firm said the product addresses security challenges that have become more urgent as organisations expand their use of cloud-native systems, APIs and AI-driven services.

The recognition comes as cyber security suppliers try to show that older web application firewall models are no longer enough to handle zero-day exploits, evasion tactics and the broader attack surface created by modern software architectures. Frost & Sullivan said these shifts have left traditional tools struggling to keep up.

Check Point cited findings from its Cloud Security Report showing that 65% of organisations have experienced cloud-related breaches. The figure helps explain growing scrutiny of tools designed to protect applications that sit outside conventional network perimeters.

Product focus

Details released alongside the recognition say Check Point WAF combines web application firewall, API security, GenAI protection, bot defence, distributed denial-of-service mitigation, file security and content delivery network functions in one platform. According to Check Point, the approach is intended to reduce the number of separate security products customers need to manage.

Frost & Sullivan also highlighted the use of a dual-layer AI engine designed to detect threats while keeping false positives below 1%. Check Point said the system can automatically block zero-day attacks without emergency patching or manual signature updates, instead relying on self-learning models that adapt as applications change.

Operational efficiency was another factor in the decision. Frost & Sullivan said reducing manual rule creation and the need for emergency interventions could lower workloads for security teams, particularly in organisations running large and frequently updated application environments.

The assessment also noted Check Point's use of open-source contributions and what it described as a community-driven approach to threat hardening. The idea is that wider transparency and shared intelligence can help speed responses to new attack methods.

Paul Barbosa, Vice President of Cloud Security at Check Point Software Technologies, framed the issue as a shift in how defenders need to respond to AI-assisted threats. "In the GenAI era, when being an attacker is much easier, you cannot use old signature-based technology. You must use AI to fight the AI battle. Adding prevention-first security at the first point of interaction is imperative. The battle between attackers and defenders will be won or lost at runtime, and prevention at the edge, powered by AI, is the way to deliver that protection at the speeds we will need it," Barbosa said.

Analyst view

Frost & Sullivan said the platform stands out in a market where many suppliers are trying to update long-established web security products for cloud-native and AI-focused workloads. Its comments suggest demand is shifting towards systems that combine several layers of application security rather than treating web, API and AI protections as separate categories.

Anh Tien Vu, Industry Principal, Global Cyber Security Practise at Frost & Sullivan, said the technology reflects those changes. "Check Point WAF addresses modern web, API, and GenAI security challenges where legacy WAFs fail to address zero-day exploits, evasion techniques, and operational overhead," Vu said. "As part of Check Point's Hybrid Mesh Network Security family, it functions as an AI-driven WAAP platform for cloud-native applications, enabling businesses to strengthen security, improve resilience, and support digital growth."

The published assessment also pointed to practical outcomes, including false positives of less than 1%, automatic prevention of zero-day threats and incident response times measured in hours rather than days. For buyers, those claims speak to a familiar cyber security procurement challenge: balancing strong protection with the cost and complexity of ongoing management.

Application security has become a more contested market as businesses shift workloads to public cloud services and expose more functions through APIs. At the same time, generative AI tools have created new routes for abuse and fresh concerns around runtime protection, prompting vendors to revise how they describe and package web security.

By putting prevention at the centre of its message, Check Point is aligning itself with a broader industry view that reactive controls are no longer sufficient when attacks can be adapted quickly and launched at scale. Frost & Sullivan summed up its position in the assessment, saying that "by converting continuous learning and runtime observability into instant, customized threat prevention with limited human intervention, Check Point WAF sets a new benchmark for what organizations should expect from a web application firewall in the cloud native and AI era."