Check Point Software Technologies and Clalit Health Services have announced a strategic partnership to build a comprehensive security framework for Clalit’s AI environments. The collaboration covers medical data, digital assets, and critical infrastructure. The two organisations will adapt security solutions to support the safe, secure, and scalable expansion of AI technologies across Clalit, while jointly developing new AI security capabilities.
Clalit, one of the largest healthcare organisations in the world serving around 5 million patients, will accelerate its use of AI, from embedding it into everyday workflows to improving processes, shortening response times, and leveraging diagnostic and research tools powered by AI agents operating independently within those workflows. Check Point’s AI Security will provide full, real-time visibility and control over AI usage and AI agents across the organisation, supporting secure adoption.
For Check Point, the scale and complexity of Clalit’s environment, from headquarters to hospitals and clinics, will serve as a significant milestone in advancing and expanding its AI security capabilities in healthcare. For Clalit’s patients, secure AI adoption can improve access to faster, more efficient, and more personalised healthcare services, while supporting the development of new tools that enhance quality of care without compromising privacy or security.
The first area is securing AI adoption with Check Point Workforce AI. The solution will help Clalit secure how employees and medical teams use AI tools in their daily work. It will help prevent sensitive medical data from being exposed to external AI models and services, enforce organisational AI usage policies, and detect or block risky actions and data transfers, while enabling teams to benefit from AI-driven innovation and process optimisation.
The second is a unified AI Gateway for healthcare. Under the agreement, Check Point and Clalit’s development teams will jointly develop a dedicated AI Gateway, a control and security layer between users, applications, and AI models, to protect AI usage, applications, medical data, and critical infrastructure. The AI Gateway is expected to enable Clalit to manage data traffic, apply unified usage policies, and enforce healthcare security and regulatory requirements from one centralised control layer, helping maintain the high standards of trust, compliance, and patient data protection required in healthcare.
The third is continuous exposure and cyber risk reduction. The partnership includes the deployment of Check Point’s Exposure Management platform to help Clalit continuously identify, prioritise, and remediate vulnerabilities and security gaps. By combining attack surface visibility, business context, and threat intelligence, the platform will help security teams focus on the exposures that pose the greatest operational risk, moving from broad lists of vulnerabilities and alerts to a more proactive, focused, and intelligence-led risk reduction process.
The fourth is protecting the digital workspace with Check Point Workspace. Check Point will help secure the channels employees and physicians use every day, including email, browsers, cloud applications, and endpoints.
Check Point Workspace is designed to provide unified protection against phishing, account takeover, malicious files, browser-based threats, and data leakage, while maintaining secure, uninterrupted access to critical systems and patient information and supporting continuity of care.
The announcement comes as healthcare organisations face a rapidly intensifying cyber threat landscape. According to Check Point Research data, cyberattacks against the healthcare sector have increased by more than 30% over the past two years, driven by the geopolitical environment and the accelerated adoption of AI technologies. Healthcare is the third most attacked sector, with healthcare organisations facing more than 2,268 cyberattacks per week on average.
According to Professor Eytan Wirtheim, CEO of Clalit Health Services: “Artificial intelligence opens up possibilities for us that did not exist until today to improve medicine, diagnosis, and patient service. But the ability to realise this opportunity is contingent upon one basic thing: security and trust. When we bring AI deeper into the medical world, we must ensure that our patients’ medical data is protected at the highest level. Our five million insured members need to know that they can sleep soundly even when the technology around them is changing rapidly. For us, information security is not a limitation on innovation it is the condition that allows us to move forward faster and responsibly.”
Adam Ely, General Manager AI Security, Check Point: “AI is creating significant opportunities for healthcare organisations to improve quality of care, patient experience, and operational efficiency. Healthcare is one of the most complex and sensitive environments there is, which is why it requires a broad security framework tailored to the organisation’s specific needs. This reflects Check Point’s strategy: cybersecurity is no longer just a layer of defense; it is essential business infrastructure that lets organisations adopt advanced technologies with confidence.”
Avi Attia, Chief Information, Technology and Cyber Security Officer at Clalit: “Three years of war, which also included a significant rise in cyberattack and cyberterrorism attempts against entities in Israel, made it clear to us that this threat does not belong only to a time of emergency. It is here to stay. Therefore, we decided to transition from a mindset of dealing with threats during wartime to building a long term defense infrastructure, together with Check Point. A healthcare system of Clalit’s scale cannot settle for reacting to the next threat; it needs to prepare for it in advance. This partnership is designed to build a permanent capability that will allow us to protect our systems and medical data, while simultaneously continuing to move forward rapidly with AI and new technologies. The test for us is not only how fast new technology can be introduced into the healthcare system, but whether it can be done in a way that allows teams and patients to trust it.”