Overview

The impact of generative AI is now a fundamental part of business transformation with policy decisions made today having far reaching implications for years to come, impacting both the speed of gen AI deployment and the extent to which new challenges are overcome. Zero Trust architectures become even more relevant, as gen AI increases the complexity of systems, creating further potential gaps in integration, greater difficulty in securing your third-party supply chain, as well as specific new problems and vulnerabilities. Consequently, it is imperative that decisions are fully informed, using the best advice available from those with real world transformation experience in your sector. If you have, or plan to adopt, a zero-trust architecture to strengthen your security and resilience, it must now be adapted to take into account the new variables introduced by gen AI.

Discussion Points

• How a Zero Trust architecture is still appropriate in the age of gen AI – and how it needs to be adapted.
• What are the new challenges you will face securing transformation with gen AI, and how to address them.
• What you should do yourself, and when outside expertise is the best option.
• How to measure the maturity of your AI-ready Zero Trust Architecture.
• Maintaining regulatory compliance standards during the transformation journey.