Ben van Enckevort

Ben van Enckevort is the co-founder and CTO of Metomic

Ben van Enckevort is the co-founder and CTO of Metomic. As an engineer, Ben balances the demands of security professionals who need easy and automated ways to safeguard sensitive data while allowing employees the ability to work and collaborate using cloud-based apps.

Prior to co-founding Metomic with Rich Vibert, Ben co-founded Clarify, a time-tracking tool designed for freelancers and agencies that monitored data in SaaS applications to deliver more accurate timesheets. Earlier in his career, Ben served as the team lead for both technical architecture and software engineering at Beamly, a design and branding firm that combined agile product and engineering services with an integrated digital agency. Ben earned a Master of Engineering degree from Imperial College, London.

“I enjoy seeing new innovations in tech, particularly those that help security teams protect data, without getting in the way of productivity.”

Thought leadership

Latest thoughts

Securing Gemini AI: Essential Considerations for Technology Leaders

Implementing Gemini AI securely requires addressing core vulnerabilities in data access, governance policies, and protection against sophisticated prompt injection attacks. Technology leaders must deploy essential security measures including zero-trust architecture, specialized AI threat detection, redesigned access controls, and AI-specific security monitoring to balance innovation with robust protection.

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AI Security Governance: Building Your Organisation's Framework from the Ground Up

CISOs must lead cross-functional AI governance initiatives with dedicated roles, phased implementation, and regulatory compliance mechanisms to effectively manage the unique security risks of autonomous, evolving AI systems.

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Why CISOs Must Secure Google Drive Permissions Before Implementing AI Tools Like Claude

As Claude's Research capabilities expand to access Google Workspace through MCP, CISOs must implement robust permission governance frameworks to address the "permission paradox" where individually appropriate access becomes problematic when aggregated by AI systems.

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