Check Point Quantum firewall software R82.10 to secure AI-driven enterprises

Check Point Software Technologies, a global cybersecurity solutions provider, has announced its Check Point Quantum Firewall Software, R82.10. Together with the Infinity Platform and Check Point’s open-garden architecture, enterprises gain a unified path to secure AI usage, automate prevention and ensure resilience across their hybrid environments, the company said.  

“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. 

“R82.10 helps enterprises shift to a prevention-first model by unifying management, strengthening Zero Trust and adding protections that support safe, responsible AI adoption and development.”

Enterprises are rapidly increasing their use of AI tools and large language model (LLM) development, expanding connectivity across users, branches and cloud environments, Check Point Software Technologies explained. This creates new risks, including AI-generated threats, identity abuse and configuration drift. R82.10 addresses these challenges with unified, prevention-first capabilities that improve visibility, control and protection across hybrid mesh networks.

“With the efficiency gains promised by AI, security professionals cannot slow down business innovation or risk being excluded,” said Frank Dickson, Group VP, Security & Trust, IDC. 

“The benefits of innovation do not negate the looming security threat being introduced by AI. Enterprises need to reduce risk, unify controls and stay ahead of sophisticated malicious actors. Check Point’s approach of embedded AI security into the network stack is an appropriate approach to quickly improve an organisation’s AI security posture.”

Check Point Quantum Firewall Software R82.10 integrates with Check Point’s full AI security stack, strengthened by the recent acquisition of AI security company Lakera. The 20 new capabilities in R82.10 are designed to help enterprises safely adopt AI, protect distributed environments and simplify Zero Trust implementations: 

Supporting safe AI adoption

R82.10 strengthens oversight of AI-driven activity by detecting unauthorised generative AI tools, expanding visibility into AI applications such as ChatGPT, Claude, Gemini, and monitoring Model Context Protocol (MCP) usage to protect AI-powered workflows.  

Strengthening hybrid mesh network security

Organisations gain more consistent protection across distributed environments with centralised Internet access management for Secure Access Service Edge (SASE) and firewalls, simplified gateway-to-SASE connectivity, and improved identity and device posture validation to support Zero Trust at scale. 

A prevention-first approach

R82.10 also introduces phishing protection that works without HTTPS inspection, an adaptive intrusion prevention system (IPS) to reduce alert fatigue, and new threat prevention insights to highlight misconfigurations and posture gaps before attackers can exploit them.

Eliminating silos

R82.10 expands Check Point’s open-garden architecture with more than 250 integrations. These integrations allow organisations to apply endpoint posture signals from their existing providers directly within Check Point policies, improving identity-based controls and Zero Trust enforcement.

“Check Point continues to deliver AI Security innovations at the exact moment customers need them,” said Chris Konrad, VP, Global Cyber, World Wide Technology, which has an extensive presence in the Asia-Pacific region. 

“Their AI-driven security capabilities help organisations safeguard their businesses from the latest cyberthreats, while providing enterprise-grade protection for sensitive AI workloads from model training to inference without compromising performance.” 

Comments

Post a Comment

Popular posts from this blog

Fortinet enhances FortiRecon to align with CTEM framework

Fortinet, the global cybersecurity provider driving the convergence of networking and security, has turned the FortiRecon platform into a comprehensive solution aligned with the continuous threat exposure management (CTEM) framework. The latest release introduces expanded internal attack surface monitoring, adversary-centric dark web intelligence, and security orchestration, all in a unified platform. These enhancements help organisations proactively identify and prioritise real-world exposures, validate risks like an attacker would, and accelerate response. “CISOs and security teams are overwhelmed by growing attack surfaces and an endless stream of unprioritised alerts,” said Nirav Shah, Senior VP of Products and Solutions at Fortinet. “With the latest enhancements to FortiRecon , we’re giving organisations an attacker’s eye view of their internal and external exposures, backed by AI-powered threat intelligence from FortiGuard Labs, real-world validation, and automated response...
Read more

SentinelOne recognised as a 2025 Gartner Peer Insights Customers’ Choice for XDR

SentinelOne, a global provider of AI-powered security, has been named a Customers’ Choice in the 2025 Gartner Peer Insights ‘Voice of the Customer’ for Extended Detection and Response (XDR) report* – one of only two companies with this distinction. A hundred and forty-four users reviewed SentinelOne's Singularity Platform, and 97% said they would recommend the solution to respond to threats across endpoints with AI-powered security, while 97% rated the solution four stars or better.** “With the growing complexity of cyberthreats, organisations need more than siloed security—they need AI-powered, autonomous protection that delivers real-time detection and response across their entire attack surface. Customers have made it clear that SentinelOne’s XDR provides the intelligence, automation, and efficiency they need to stay ahead of threats and secure their environments with confidence,” said Ely Kahn, VP, Product Management, SentinelOne. Gartner defines extended detection and ...
Read more

AWS: AI adoption grows 20% in Singapore

Image
Amazon Web Services (AWS), an Amazon.com company, has found* that AI adoption continues to accelerate in Singapore. In the past year alone, 27,000 1 Singapore businesses adopted AI for the first time—equivalent to over three new adopters every hour. In sum, nearly 170,000 (48%) of businesses in Singapore have adopted AI 2 , up from approximately 143,000 (40%) a year ago. This represents a 20% year-over-year growth rate, AWS said. AI adoption is the strongest in the financial services industry (71%), followed by the technology sector ( software developers, data analytics firms, cloud service providers, and digital startups) at 70%, and healthcare at 63%. Among Singapore’s businesses that have adopted AI, 82% reported an increase in revenue, at an average increase of 19%, while 90% report significant productivity improvements. A large majority (85%) of those who have adopted AI say the technology is likely to increase their growth in the next year, and 89% expect an average of 17%...
Read more