Artificial Intelligence

Swami Sivasubramanian

Author: Swami Sivasubramanian

Swami Sivasubramanian is Vice President for Agentic AI at Amazon Web Services (AWS). At AWS, Swami has led the development and growth of leading AI services like Amazon DynamoDB, Amazon SageMaker, Amazon Bedrock, and Amazon Q. His team’s mission is to provide the scale, flexibility, and value that customers and partners require to innovate using agentic AI with confidence and build agents that are not only powerful and efficient, but also trustworthy and responsible. Swami also served from May 2022 through May 2025 as a member of the National Artificial Intelligence Advisory Committee, which was tasked with advising the President of the United States and the National AI Initiative Office on topics related to the National AI Initiative.

AWS launches frontier agents for security testing and cloud operations

I’m excited to announce that AWS Security Agent on-demand penetration testing and AWS DevOps Agent are now generally available, representing a new class of AI capabilities we announced at re:Invent called frontier agents. These autonomous systems work independently to achieve goals, scale massively to tackle concurrent tasks, and run persistently for hours or days without constant human oversight. Together, these agents are changing the way we secure and operate software. In preview, customers and partners report that AWS Security Agent compresses penetration testing timelines from weeks to hours and the AWS DevOps Agent supports 3–5x faster incident resolution.

Enabling customers to deliver production-ready AI agents at scale

Today, I’m excited to share how we’re bringing this vision to life with new capabilities that address the fundamental aspects of building and deploying agents at scale. These innovations will help you move beyond experiments to production-ready agent systems that can be trusted with your most critical business processes.

Empowering everyone with GenAI to rapidly build, customize, and deploy apps securely: Highlights from the AWS New York Summit

See how AWS is democratizing generative AI with innovations like Amazon Q Apps to make AI apps from prompts, Amazon Bedrock upgrades to leverage more data sources, new techniques to curtail hallucinations, and AI skills training.

Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results

We introduced Amazon Bedrock to the world a little over a year ago, delivering an entirely new way to build generative artificial intelligence (AI) applications. With the broadest selection of first- and third-party foundation models (FMs) as well as user-friendly capabilities, Amazon Bedrock is the fastest and easiest way to build and scale secure generative […]

AWS and Mistral AI commit to democratizing generative AI with a strengthened collaboration

Today, Mistral AI is bringing its latest and most capable model, Mistral Large, to Amazon Bedrock, and is committed to making future models accessible to AWS customers. Mistral AI will also use AWS AI-optimized AWS Trainium and AWS Inferentia to build and deploy its future foundation models on Amazon Bedrock, benefitting from the price, performance, scale, and security of AWS. Along with this announcement, starting today, customers can use Amazon Bedrock in the AWS Europe (Paris) Region. At launch, customers will have access to some of the latest models from Amazon, Anthropic, Cohere, and Mistral AI, expanding their options to support various use cases from text understanding to complex reasoning.

Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications. Looking back to 2021, when Anthropic first started […]

ISO 42001: A new foundational global standard to advance responsible AI

Artificial intelligence (AI) is one of the most transformational technologies of our generation and provides opportunities to be a force for good and drive economic growth. The growth of large language models (LLMs), with hundreds of billions of parameters, has unlocked new generative AI use cases to improve customer experiences, boost employee productivity, and so […]