The integration of AI into our daily lives and across workforces is transforming the way we all work on a day-to-day basis, whether that’s streamlining processes, automating workflows, or analysing data to produce accurate and relevant insights. However, there’s a key element to AI integration that all organisations must execute and that’s data security.
AI security involves protecting AI systems from threats that could compromise their integrity, confidentiality, and availability. These threats include adversarial attacks, data poisoning, model theft, and privacy breaches, among others. As AI adoption grows, so does the need for robust security measures to ensure that AI systems operate safely and ethically.
Come join our panel speakers, Paul Jolliffe, CISO at Phoenix, and Jonny Scott, Head of Cyber Advisory at Phoenix, as they take you through key steps in ensuring your AI adoption’s not only transformative for your organisation, but secure and ethical.
Agenda:
- AI security today, including existing frameworks and common risks
- How to conduct AI security assessments and readiness reviews
- Best practices for designing secure AI systems: focusing on data protection, model integrity, and system resilience
- Governance policies, processes, and procedures for managing AI security risks
- Technical controls for AI security
Paul Jolliffe
CISO, Phoenix
Jonny Scott
Head of Cyber Advisory, Phoenix
