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CyberSafe joins CrowdStrike to combat AI threats

CyberSafe, a Singaporean cybersecurity firm, has joined forces with CrowdStrike’s Project QuiltWorks to launch the AI Compliance and Enterprise Security Officers (ACES) programme. This initiative aims to assist organisations in Singapore in addressing AI-driven cyber threats and preparing for national cybersecurity certifications.

The ACES programme, part of CyberSafe’s collaboration with CrowdStrike, integrates QuiltWorks with CyberSafe’s advisory services to help organisations assess and mitigate frontier AI risks. The comprehensive eight-step programme includes briefings led by CrowdStrike experts and CyberSafe’s Chief AI Officers and Chief Information Security Officers. It also covers governance framework implementation, vulnerability assessments, and certification readiness support.

Participating organisations will benefit from CrowdStrike’s Frontier AI Readiness and Resilience (FAIRR) Service, which offers AI-powered scanning and expert-guided remediation to tackle vulnerabilities. This service provides a thorough assessment of AI risks, whilst CyberSafe offers the necessary advisory and remediation services.

The partnership aims to bolster the cybersecurity posture of organisations in Singapore, enabling them to pursue the Cybersecurity Agency of Singapore’s Cyber Essentials and Cyber Trust certifications. Daniel Bernard, chief business officer at CrowdStrike, emphasised the importance of technology and expert services in securing AI risks, stating, “With CyberSafe joining QuiltWorks, we’re bringing that model to more organisations across Singapore so they can adopt AI with greater confidence.”

Dave Gurbani, Group CEO of CyberSafe, highlighted the transformative impact of AI on the cyber threat landscape, noting that the ACES programme will help organisations adopt AI securely and prepare for national cybersecurity certification.

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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