Accelerating Secure, Private, and Compliant AI Transformation

This showcase paper from Enterprise Strategy Group explores the challenges organizations face in securing their AI initiatives. As AI adoption accelerates, concerns around data protection, system security, and reputational risk are also growing. Standards bodies are working to establish AI security frameworks, but organizations often struggle with implementing them effectively. New security solutions are needed to mitigate AI-specific risks and enable organizations to innovate confidently.

In this paper, you can read more about Google Cloud’s new AI Protection solution, which offers end-to-end capabilities to manage AI risk, including:

• Discovery and visibility: Gain a clear understanding of AI inventory, including models, datasets, and workloads, and assess your environment for potential vulnerabilities.
• Control mechanisms: Enforce governance policies, protect applications and models from malicious activity, and implement guardrails to secure AI assets.
• Threat management: Rapidly detect, investigate, and respond to threats against AI systems.

Download this showcase from Enterprise Strategy Group to learn how AI Protection can help your organization securely build, deploy, and run AI workloads.

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