Simplifies Cloud Application Security with AI-Powered WAFaaS
Summary
Check Point Software Technologies Ltd. (NASDAQ: CHKP), a leading cyber security platform provider, today announced CloudGuard WAF-as-a-Service (WAFaaS) — an automated, AI-powered, web application firewall, that offers organizations a fully managed solution to prevent cyber threats and protect web applications from unauthorized access and data breaches. Check Point CloudGuard WAFaaS’s fully managed offering alleviates the heavy lifting traditionally associated with maintaining WAF solutions, transforming a cumbersome process into a streamlined operation. As part of the Check Point Infinity Platform to defend the cloud, key features for CloudGuard WAFaaS include: • Threat Prevention: Protects against Zero-day exploits, Distributed Denial of Service (DDoS) attacks and bot-driven assaults, ensuring comprehensive security without affecting performance • Contextual Analysis: Precise detection, with virtually no false positives, frees security teams from tedious firewall maintenance • API Security: Effectively reduces the risk of unauthorized access and data breaches leveraging the latest API Discovery feature • One-time Set-up: End-to-end deployment process can be executed within 5 minutes “Unlike traditional web application firewalls, which rely heavily on manual intervention and frequent signature updates, our newly released Check Point CloudGuard WAFaaS leverages AI to adapt to new threats dynamically,” said Brian McHenry, Head of Cloud Security Engineering at Check Point Software. “This capability ensures that organizations have a preventative defense mechanism that evolves with the threat landscape without generating time-consuming false positives.” CloudGuard WAFaaS is available immediately through our network of global partners. Check Point leverages the power of AI everywhere to enhance cyber security efficiency and accuracy through its Infinity Platform, with industry-leading catch rates enabling proactive threat anticipation and smarter, faster response times.