Leveraging Secure Collaboration for Competitive Advantage

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Presented by

Gemma Fielding, EMEA Marketing Director, and Simon Thornell, EMEA Sales Engineering Director, from Fortanix

About this talk

In today’s digital landscape, CISOs face the challenge of evolving the perception of security from a cost centre to a strategic business enabler. This webinar explores how with Confidential Computing organisations can revolutionise data security, enabling secure multi-party collaborations and driving business growth. With heightened legal concerns, compliance requirements, and board-level scrutiny, security leaders must balance protecting assets like data while facilitating business innovation. Participants will learn how leveraging AI for scalable, accurate data analysis can enhance decision-making, unlock new revenue streams, and accelerate time-to-market for services. To facilitate the most secure environment for AI, the webinar will also highlight how Confidential Computing trusted execution environments, allow the use of sensitive data without compromising confidentiality, availability, or integrity. This approach not only simplifies data collaboration but also ensures compliance with regional regulations, reducing data exposure and enhancing security. Real-world case studies will demonstrate how businesses have used secure collaboration to gain deeper insights, improve customer retention, and foster loyalty. Attendees will discover how to transform security into a driver of competitive advantage by enabling ethical, secure data sharing and collaboration. Join Gemma Fielding, EMEA Marketing Director, and Simon Thornell, EMEA Sales Engineering Director, from Fortanix to understand how to harness AI and Confidential Computing to drive business success through secure collaboration while maintaining the highest standards of security.
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The Fortanix Data Security Expert webinar channel contains educational content related to data security topics including encryption, key management, tokenization, secure devops, and confidential computing.