Check Point Software Technologies announced its new Check Point Quantum Firewall Software, R82.10, a major upgrade designed to protect enterprises operating in an increasingly AI-driven threat landscape.
“As organisations embrace AI, security teams are under growing pressure to protect more data, more applications and more distributed environments,” said Nataly Kremer, Chief Product Officer at Check Point Software Technologies.
AI Brings Speed, but Also New Attack Vectors
Enterprises are accelerating AI adoption, and this transformation is widening the attack surface at an unprecedented pace. R82.10 is engineered to counter these emerging risks. The software integrates advanced AI-adaptive threat prevention, giving security teams the ability to detect malicious patterns in real time, even when attackers use generative AI tools to disguise behaviour, automate reconnaissance or launch polymorphic malware.
Key Enhancements
Check Point’s update focuses heavily on usability and operational efficiency, areas where security teams often struggle under load. R82.10 includes:
Unified AI Threat Engine that correlates signals from endpoints, cloud workloads and gateways to produce more reliable detections.
Accelerated packet inspection capable of handling AI-era traffic volumes without performance bottlenecks.
Automatic policy optimisation, reducing manual configuration errors and ensuring rules keep pace with dynamic cloud and hybrid environments.
Deep integration with Check Point’s Infinity Platform, extending visibility from on-premise networks to SaaS, APIs and distributed AI services.
Zero-touch deployment options that simplify rollout across geographically dispersed networks.
Check Point says these improvements are driven directly by customer feedback, particularly from organisations struggling to unify governance across mixed environments where automation, microservices and AI systems continuously change network behaviour.
R82.10 Designed for the Reality of Hybrid, AI-Powered Enterprises
Security leaders are increasingly dealing with environments where data moves between edge devices, private data centres, cloud platforms and external AI services. R82.10 aims to secure this complexity with context-aware inspection. R82.10 provides granular inspection, anomaly detection and automated blocking for high-risk API operations.
The company positions R82.10 as a defence mechanism built for this new reality: a firewall that understands AI-driven threats and responds with AI-powered protections.
Analysts say this launch underscores a broader industry trend, security is shifting from static rule-based systems to autonomous, self-optimising defence layers. As enterprises expand their use of AI, security vendors are embedding automation, predictive analytics and behaviour-based detection into their core offerings.
