AI and Cybersecurity: Navigating Risk, Trust, and Innovation
Artificial Intelligence (AI) is reshaping cybersecurity at a rapid pace. From hyper-personalised phishing powered by generative AI to AI-enhanced threat detection and response, the relationship between attacker and defender is being transformed. This event explores what secure AI adoption means in practice, how AI security standards and regulations are evolving, and how organisations can balance innovation with assurance in an era of disinformation and digital complexity.
The programme begins with a scene-setting talk on the emerging AI threat landscape, followed by a live discussion between practitioners approaching cybersecurity from different perspectives. Together, we’ll examine how roles and strategies are shifting in the age of machine learning, LLMs, and autonomous code. The session continues with a hands-on AI cybersecurity workshop, where participants can test prompts, explore simulated AI risks, and identify vulnerabilities in real time.
Whether you’re a cybersecurity professional, business leader, policymaker, or new to AI, this is your opportunity to gain practical insight into the tools, challenges, and trust issues defining the future of AI in cybersecurity.
Key Themes:
The evolving AI threat landscape and emerging risks
Changing dynamics between attacker and defender roles
Secure AI adoption and practical implementation
Developments in AI security regulations and standards
Interactive, hands-on exercises: prompt testing, risk simulation, vulnerability discovery
Balancing AI innovation with trust, assurance, and resilience in complex digital environments