Check Point’s Quantum Firewall R82.10: AI & Zero Trust Security
▼ Summary
– Check Point has launched its new Quantum Firewall Software, R82.10, featuring 20 new capabilities to help enterprises safely adopt AI and secure distributed networks.
– The release is designed to address new risks from AI adoption and distributed environments by shifting to a unified, prevention-first security model.
– A core new capability strengthens oversight of AI-driven activity by detecting unauthorized GenAI tools and monitoring specific AI applications and protocols.
– It enhances hybrid and Zero Trust security with centralized management for distributed networks and improved identity and device validation.
– The software also introduces new threat prevention features, like phishing protection without HTTPS inspection, and expands integration options to eliminate security silos.
Check Point has unveiled a significant update to its flagship security platform with the release of Quantum Firewall Software R82.10. This latest version introduces a suite of twenty new features specifically engineered to help organizations navigate the complex security landscape of artificial intelligence, safeguard sprawling hybrid networks, and implement robust zero-trust architectures without adding operational complexity.
Security teams today face immense pressure. The rapid adoption of AI tools and the expansion of connectivity across cloud and branch environments create new vulnerabilities, from AI-generated malware to identity-based attacks. R82.10 is designed to meet these challenges head-on by shifting the focus to a prevention-first security model. This approach aims to stop threats before they can cause damage, rather than merely detecting them after a breach occurs.
The update organizes its new capabilities into four critical areas where modern enterprises feel the most strain. First, it directly addresses the security concerns surrounding AI adoption. The software enhances oversight by identifying the use of unauthorized generative AI applications, providing detailed visibility into popular tools like ChatGPT and Claude, and monitoring AI workflow protocols to protect sensitive data and models.
For protecting distributed infrastructure, R82.10 strengthens what Check Point calls hybrid mesh network security. It offers centralized management for internet access across both SASE deployments and traditional firewalls. This simplifies connectivity and enforces consistent policy, while improved validation of user identities and device health supports scalable zero-trust implementation.
To combat evolving threats, the platform introduces several proactive measures. These include advanced phishing protection that operates without the need for resource-intensive HTTPS decryption and an adaptive intrusion prevention system designed to intelligently reduce overwhelming alert volumes. New analytics tools provide Threat Prevention Insights, proactively highlighting security misconfigurations and compliance gaps that attackers could exploit.
Finally, the release aggressively tackles the problem of security silos by expanding its open ecosystem. With over 250 third-party integrations, the platform allows teams to incorporate endpoint security signals from their existing tools directly into Check Point’s policy engine. This unification streamlines enforcement and enhances identity-centric controls across the entire digital estate.
Industry analysts note that the promise of AI-driven efficiency cannot come at the cost of security. Organizations require solutions that reduce risk and unify controls without hindering innovation. By embedding AI security capabilities directly into the network fabric, Check Point’s strategy provides a practical path to quickly bolster an organization’s defensive posture around sensitive AI workloads.
The R82.10 software integrates with Check Point’s broader AI security framework, which has been recently augmented by strategic acquisitions. Combined with the company’s Infinity Platform and open architecture, it delivers a cohesive solution for securing AI usage, automating threat prevention, and ensuring resilience across increasingly complex and distributed IT environments.
(Source: HelpNet Security)
