How to prove cyber and AI compliance without the paperwork
A practical, risk-based approach for regulators, operators, and critical infrastructure leaders
Cyber and AI systems are evolving faster than traditional regulation can keep up.
Document-heavy, point-in-time compliance models are reaching their limits, especially for governments and critical infrastructure operators under increasing scrutiny.
In this on-demand briefing, Andrew Robinson explains how risk-based, outcome-driven regulation enables defensible assurance, accountability, and resilience without slowing innovation.
The value you’ll get
You’ll gain a clear, practical understanding of why traditional compliance and audit models no longer keep pace with cyber and AI risk, and how risk-based regulation works in practice.
The session also explores how governance, accountability, and human oversight need to evolve alongside AI adoption to maintain trust, resilience, and control.
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Regulation as a control system
Learn how regulation can define outcomes, thresholds, and triggers to enable continuous, defensible assurance.
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Why cyber and AI governance are inseparable
Learn why AI acceleration without cyber assurance increases risk, and why cyber governance alone cannot scale.
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Smarter regulation, not more regulation
Explore how proportional, risk-based approaches strengthen confidence without increasing regulatory burden.
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Reusing standards and assurance infrastructure
See how existing frameworks like ISO 27001, ISO 42001, SOCI, ISM, and NIST can be reused effectively with the right risk context.
Frequently asked questions
We've compiled the most important information to help you get the most out of your experience. Can't find what you're looking for? Contact us.
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This webinar will last approximately 30 minutes. There will be a 10-15 minute Q&A session at the end of the webinar where your questions will be answered by our experts.
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- Yes, we record all of our webinars. All registered attendees will receive an email with the recording of the webinar.
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