As AI systems grow more autonomous, it creates a new wave of threats and a new kind of urgency. From identity abuse to application-level manipulation and data exfiltration, these new behaviors are already testing today’s security procedures.
While autonomous AI promises major business gains, security teams need to ensure a comprehensive protection of both the application layers and underlying data when integrating AI workflows into their environments.
This webinar will delve into the latest strategies for securing end to end AI architectures.
We’ll cover:
- AI use cases and their unique security challenges.
- Strategies to secure AI deployment.
- Solutions to provide end-to-end protection for your data and application layers throughout the AI lifecycle.