AI Security and Compliance with Bedrock

Developing AI solutions in an enterprise setting demands a robust approach to security and compliance. Without proper safeguards, AI deployments can introduce significant risks to data privacy and operational integrity. This course provides a comprehensive understanding of how to secure AI applications and data within an enterprise context, specifically leveraging the capabilities of Bedrock. You will gain the knowledge to establish secure, compliant, and responsible AI practices from the ground up. What you'll learn: Understand the fundamental security and compliance challenges unique to enterprise AI. Apply Identity and Access Management (IAM) policies and Service Control Policies (SCPs) to secure Bedrock resources. Implement data protection strategies and ensure data sovereignty for AI models and sensitive information. Learn about key compliance frameworks and regulatory requirements applicable to AI deployments. Establish robust AI governance practices and responsible AI principles within your organization. Practice identifying and mitigating common AI-specific security threats, including prompt injection. The course begins with core concepts of AI security and compliance, then progresses to practical application of Bedrock's security features, and concludes with advanced topics in AI governance and threat mitigation. This course is designed for beginners interested in securing AI solutions, including developers, architects, and compliance professionals. No prior experience with AI security or Bedrock is required. Start building a secure and compliant future for your enterprise AI initiatives today.