Practical Tips for Securing Public-Facing AI Apps and Cutting Through the Noise
About the Security Event
As organizations move AI applications from experimentation to production, new security risks emerge that require dedicated protection strategies. Public facing AI systems can be exposed to threats such as prompt injection, malicious inputs, and unsafe or manipulated model outputs. This webinar examines the evolving security challenges associated with deploying AI powered applications at scale.
The session explores how security leaders are expanding governance across the AI lifecycle and how organizations can prioritize risks related to AI applications. Speakers will discuss common AI native attack techniques and approaches for evaluating and ranking security risks affecting AI services. Attendees will also gain insight into emerging AI firewall technologies and methods for protecting public facing AI applications against evolving threats.