Generative AI is transforming industries, driving innovation, and reshaping how businesses operate. However, rapid adoption has outpaced security measures, leaving organizations exposed to emerging AI-driven threats. To address this challenge, AWS provides a comprehensive security strategy for generative AI, focusing on securing AI applications, defending against AI-based threats, and leveraging AI to enhance security operations.

This infographic highlights key insights into how AWS is securing the future of generative AI:

• Secure generative AI applications: Protect sensitive data and intellectual property by fine-tuning models securely with Amazon Bedrock and Amazon SageMaker JumpStart.

• Defend against AI-driven threats: Use AWS security services like Amazon Macie and AWS Network Firewall to protect network traffic, detect anomalies, and enforce data privacy controls.

• Leverage AI-powered security: Enhance threat detection and automate responses with Amazon GuardDuty, Amazon CodeWhisperer, and Finding Groups in Amazon Detective.

• Increase security awareness: Address the lack of AI security policies in organizations, as 51% of employees are unaware of their company’s AI security guidelines.

• Optimize AI-driven efficiency: Developers using Amazon CodeWhisperer work 57% faster, accelerating secure software development with built-in AI assistance.

With over 100,000 customers using AWS for machine learning, AWS is at the forefront of securing generative AI applications and protecting organizations against AI-driven threats.

Download the full eBook to learn more about AWS’s approach to AI security.