Artificial Intelligence (AI), Generative AI, and Agentic AI do not fit within historical IT in enterprise governance and compliance strategy. In present-day operational reality, there is an urgent need for governance frameworks that organizations can implement to address the risks posed by these technologies. To meet these challenges, AWS has
The 4 Pillars Every Engineering Leader Needs Your business runs on software. AI Development is the key to moving forward. That’s why the pressure to ship faster without compromising quality, security, or compliance has never been higher. A Harvard Business Review Analytic Services white paper, sponsored by AWS, lays out
Local governments sit on a mountain of public information including municipal codes, ordinances, permitting requirements, and service guides. Yet, hardly anyone can find information they want. Residents call city hall to ask questions that are already answered in a public document. Staff spend time answering the same questions over and
Amazon Bedrock Now Ties AI Cost to IAM Users and Roles Generative AI workloads are exciting — until the AWS bill arrives and no one knows who spent what. Amazon Bedrock’s new support for IAM principal-based cost allocation solves one of the most practical pain points in enterprise AI adoption:
The cloud security conversation just expanded beyond IAM policies and S3 bucket permissions. AWS has published four core security principles aimed specifically at agentic AI systems. And if you work in cloud architecture, security, or AI development, this framework belongs in your professional toolkit. Agentic AI doesn’t just generate text.
What CloudFront, Security Hub, and Bedrock AgentCore Mean for Your AWS Career Observability used to be something you configured. Now, with expanding auto-enablement in Amazon CloudWatch, it is something you govern. AWS has added three significant resource types to CloudWatch’s automatic telemetry configuration capability. If you are pursuing AWS certification