From homegrown AI applications and code assistants to autonomous AI agents - is your security keeping up?

As organisations accelerate the adoption of Agentic AI, AI copilots, autonomous systems and AI-powered development tools, security teams are facing a rapidly evolving threat landscape.

Watch this on-demand webinar to explore the most critical AI security risks affecting modern enterprises and learn practical strategies for securing AI agents, managing AI governance, and building secure AI applications from day one.

Whether you're assessing AI security risks, deploying AI agents across your organisation, or developing AI-powered applications, this session provides actionable guidance to help you strengthen your security posture.

What you'll learn

• How Agentic AI expands the enterprise attack surface

• Why prompt injection has emerged as a leading AI security threat

• The risks of excessive permissions and privileged AI agents

• Best practices for AI governance, visibility and oversight

• Security guardrails for AI applications and autonomous systems

• How to implement shift-left security for AI development

• Emerging risks associated with AI-assisted coding and homegrown AI solutions

• Practical recommendations for securing AI across the enterprise

Why this matters

AI systems are increasingly capable of making decisions, accessing data, interacting with business applications and taking autonomous actions. While these capabilities unlock significant business value, they also introduce new security, governance and compliance challenges.

Understanding how to secure Agentic AI, prevent prompt injection attacks, manage AI permissions, and maintain visibility across your AI ecosystem is becoming essential for technology and security leaders.

This webinar explores the controls, frameworks and best practices organisations need to confidently adopt AI while reducing risk.

Who should watch

• CISOs and security leaders

• IT directors and managers

• Security architects

• Enterprise architects

• AI and data teams

• Software developers

• Governance, risk and compliance professionals

• Digital transformation leaders

• Business and technology decision makers