Navigate Evolving Risks & Security Challenges in Enterprise AI Systems

Artificial intelligence (AI) teams perceive risk differently than security or compliance teams. Security teams focus on AI application attack surfaces. However, with forthcoming regulations worldwide, organizations cannot overlook concerns such as data and model drift, uncontrolled bias, and privacy and security concerns specific to AI model training and deployment. Join this complimentary AI webinar as Gartner experts share how to best secure AI and how to implement required measures to prevent AI failures. We will explore Gartner Model Operations, Security and Trustworthiness (MOST) Framework along with Gartner AI Trust, Risk and Security Management (TRiSM), which help to ensure that AI and security professionals can work together on the safety and security of AI systems. You will walk away from this session with answers to your vital questions, a copy of the research slides and recommended actions to help you achieve your goals.

Identify the new risks and attack surfaces targeting AI systems
Initiate an AI application security program that examines the whole AI application attack surface
Ensure that AI, D&A and security teams speak the same language