Showing only posts by Anna McAbee. Show all posts.

Safeguard your generative AI workloads from prompt injections

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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 …

New AWS Skill Builder course available: Securing Generative AI on AWS

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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 …

Methodology for incident response on generative AI workloads

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The AWS Customer Incident Response Team (CIRT) has developed a methodology that you can use to investigate security incidents involving generative AI-based applications. To respond to security events related to a generative AI workload, you should still follow the guidance and principles outlined in the AWS Security Incident Response …

How to develop an Amazon Security Lake POC

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You can use Amazon Security Lake to simplify log data collection and retention for Amazon Web Services (AWS) and non-AWS data sources. To make sure that you get the most out of your implementation requires proper planning. In this post, we will show you how to plan and implement …