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Check Point launches AI-driven cybersecurity platform in Singapore

Newsflash Asia

- May 28, 2025

Check Point Software Technologies has unveiled a groundbreaking automated threat intelligence platform in Singapore, marking a significant advancement in cybersecurity for organisations in Southeast Asia. The platform, designed to proactively detect, validate, and neutralise threats, integrates AI and machine learning with threat intelligence, Dark Web monitoring, and automated remediation.

The platform’s unique features include a first-of-its-kind integration of AI/ML-powered threat intelligence, local data residency, and automated Continuous Threat Exposure Management (CTEM). This approach addresses the increasing sophistication of AI-powered cyberattacks, such as phishing and email impersonation, which have been causing substantial global losses.

Rebecca Law, Country Manager for Check Point Software Technologies in Singapore, emphasised the importance of proactive security measures: “In today’s threat landscape, organisations simply cannot afford to depend on reactive protection. You have to start building your cybersecurity now, for the threats of tomorrow.”

The platform also aims to alleviate the burden on cybersecurity teams by automating the CTEM cycle, thus bridging the gap between offensive and defensive strategies. Abhishek Kumar Singh, Head of Security Engineering at Check Point Singapore, noted the challenge many organisations face: “Proper cybersecurity hygiene today requires Continuous Threat Exposure Management. However, most organisations do not have the unified and right tools to operationalise CTEM effectively.”

By hosting all metadata and sensitive information locally, the platform ensures compliance with Singapore’s regulatory requirements, providing an added layer of security. The platform is now available for ASEAN customers, promising to enhance cybersecurity resilience and operational efficiency across the region.
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This story was selected and published by a human editor, with content adapted from original press material using AI tools. Spot an error? Report it here.

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