Anton R Gordon on AI Security: Protecting Machine Learning Pipelines with AWS IAM and KMS
As machine learning (ML) adoption accelerates, ensuring data security and compliance has become a top priority for enterprises. Machine learning pipelines process vast amounts of sensitive data, making them attractive targets for cyber threats. Anton R Gordon, a renowned AI Architect and Cloud Security Specialist emphasizes that securing ML pipelines is as crucial as optimizing model performance. In this article, Anton R Gordon shares best practices for protecting ML workflows using AWS Identity and Access Management (IAM) and AWS Key Management Service (KMS)—two essential tools for securing cloud-based AI applications. The Growing Need for AI Security in the Cloud The increasing integration of AI and cloud computing has introduced new security challenges, including: Unauthorized data access leads to model poisoning attacks. Weak encryption strategies, expose sensitive training data. Compromised API endpoints, leading to inference manipulation. To combat these risks, Anton R Gord...