Securing Agentic AI: The Path to Success

Executive Dinner

October 7, 2025 - London, England

Visionaries

Peter Bury Palo Alto Networks
Peter Bury

Technical Pre Sales

Palo Alto Networks

About Me

Peter Bury has over 25 years of experience in cybersecurity, working with customers in highly regulated industries to meet complex information security requirements. His background includes positions in industry-leading companies from professional services and consultancy to education and advocacy. He is now the UK AI Domain Consultant at Palo Alto Networks, where he brings his experience to advise organisations on the secure adoption of AI technologies.

Rob Hale AWS
Rob Hale

Principal EMEA Security Partner Leader

AWS

About Me

Rob leads Security partner strategy in EMEA at Amazon Web Services. A long term security professional, Rob helps partners to build and offer the right solutions to improve customers’ security posture as they migrate to and build on the AWS cloud. He is a strong proponent that good security is a business enabler, helping companies build trust with their customers. A 7 year Amazonian, Rob has over 26 years in security, serving in a variety of technical and commercial leadership roles, launching and mentoring start-ups, managed service providers and enterprises in Europe. In his spare time, Rob enjoys being outdoors, travelling, exploring with his family and a trio of beagles.

October 7, 2025

Agenda

All times United Kingdom Time

6:00 PM-9:30 PM

Securing Agentic AI: The Path to Success

Adopting agentic AI across the enterprise offers the promise of increased automation and productivity, making the journey worthwhile despite its challenges. By prioritizing the security of AI agents, senior decision-makers can navigate the complex landscape of identity management, risk, and data governance with greater clarity.

Join this exclusive roundtable to discuss:

  • Managing diverse AI identity models while balancing productivity and security risks
  • Establishing metrics to evaluate the impact of data management and integrity on AI outcomes
  • Integrating robust data management and governance to ground AI applications in trusted enterprise data

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