In part 1 of this blog series, we walked through the risks associated with using sensitive data as part of your generative AI application. This overview provided a baseline of the challenges of using sensitive data with a non-deterministic large language model (LLM) and how to mitigate these challenges …

Generative AI applications have become powerful tools for creating human-like content, but they also introduce new security challenges, including prompt injections, excessive agency, and others. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications. When …

Microsoft is accusing three individuals of running a "hacking-as-a-service" scheme that was designed to allow the creation of harmful and illicit content using the company’s platform for AI-generated content. The foreign-based defendants developed tools specifically designed to bypass safety guardrails Microsoft has erected to prevent the creation of …

To support our customers in securing their generative AI workloads on Amazon Web Services (AWS), we are excited to announce the launch of a new AWS Skill Builder course: Securing Generative AI on AWS. This comprehensive course is designed to help security professionals, architects, and artificial intelligence and machine …