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In today's rapidly evolving digital landscape, organisations are embracing AI applications to transform how they operate, innovate, and deliver value. Yet this transformation introduces new security challenges that must be addressed. As AI adoption accelerates, the attack surface expands, requiring protection strategies that go beyond traditional security approaches.
In this webinar, we’ll examine what it takes to secure the entire AI application stack – from model protection to API security – helping security professionals strengthen defences while supporting business growth and innovation.
Learning objectives:
Safeguard AI models from theft, tampering, and adversarial attack
Protect sensitive training data and prevent data poisoning
Secure the interfaces between AI components and applications, including protection against prompt injection attacks
