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AWS Summit New York 2026 - Watch the highlights in 7 minutes — AWS Events

AWS Events June 20, 2026 6m 1,014 words
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About this transcript: This is a full AI-generated transcript of AWS Summit New York 2026 - Watch the highlights in 7 minutes — AWS Events from AWS Events, published June 20, 2026. The transcript contains 1,014 words with timestamps and was generated using Whisper AI.

"Hi, we just wrapped the AWS Summit in New York City, where we announced a whole group of new capabilities to help you move faster with agents. First, how you work. We showed Amazon Quick, which works around the clock on your behalf. It's live, it's free, and you can get started in minutes. Second,..."

[00:00:00] Speaker 1: Hi, we just wrapped the AWS Summit in New York City, where we announced a whole group of new capabilities to help you move faster with agents. First, how you work. We showed Amazon Quick, which works around the clock on your behalf. It's live, it's free, and you can get started in minutes. Second, how to stay secure. We introduced AWS Continuum, which allows you to run threat modeling and detect code vulnerabilities using AI agents continuously. Third, how you build and ship software. We showed how you can use agents across the entire software development lifecycle. Not just writing code, but reviewing it, shipping it, testing it, and keeping it modern. Fourth, how you create and ship your own agents. We showed Agent Core, the AI infrastructure required to build, ship, test, and optimize your AI agents at production scale. Any framework, any model, take a look for yourself. [00:00:55] Speaker 2: Agents, when they are built correctly, it gets better the more you use them. More interactions mean more context. And more context means better outcomes. And better outcome means you build more trust. And when you trust it more, you end up handing them more things. And that is compounding momentum. [00:01:17] Speaker 3: That's why we built Amazon Quick. This is a lot to deal with, and I just got stuff to do, right? I want to get it done. So watch. Quick's going to just do it for me. I can just be like, where is that PowerPoint for the board meeting? While it's doing that, I'm actually going to say, what are my most urgent emails? Quick is connected to all of these things. It can reason across them. And look, right here, I click on it. Bam. Takes me right to Slack, exactly where it is, buried into a thread. I don't have to go searching. Quick just did it. By the time I come back, here's a summary of all of my emails. The last thing I want to show you, this marketing report I got to build. Make me the marketing report that people asked me for. While it cooks, we can actually see this report is being built. [00:02:04] Speaker 2: Swami, do you want to talk to us about this? What you are seeing here is it is pulling information from Google Drive to OneDrive to many other sources quite seamlessly to create this report. I mean, that is actually incredible because what would have taken probably hours of actually research to pull in all this data now can be done in like matter of actually 20 seconds. They just saw it. Yeah. Yeah. And that is the era of AI agents that we live in. Quick just makes it real. [00:02:38] Speaker 4: The Mythos moment. It accelerated our plans significantly. Mythos set a high bar, a new bar, for finding cold vulnerabilities and complex attack paths. And I'm happy to announce AWS Continuum. It's a comprehensive list of security products to help you secure your workloads. Continuum looks at every vulnerability the way your best engineer would. Continuum starts in alone mode with humans in the loop. And then as it gains confidence, you can graduate to enforce mode where it automates changes, mitigation, and the remediation stages. Ride it right, ship it fast, keep it modern. Not three tools, [00:03:27] Speaker 2: one continuous loop, always running, always compounding. We know this works because we had lived it in Amazon stores. The teams behind the shopping experience for hundreds of millions of Amazon Prime members went all in on this loop. The result, a median 4.5x improvement in how fast correct code reaches production. With some teams hitting up to 17x, AI generated code changes landing with 95% accuracy, higher than the human baseline. Today, we are announcing the preview of release management in AWS DevOps agent. Whether you're building in Kiro or cloud code, the moment your code is generated, release management picks it up. It spins up an environment and tests it. It sees the failure coming and fixes it before it ever blocks you. No queue, [00:04:25] Speaker 5: no handoff, no babysitting your pipelines. So this isn't a sequence of modernize and then transform. We are doing both at the same time. And what Quik, Kiro, AI DLC and our foundation on AWS are enabling us to do is to move faster and meet the needs of our customer and business. Because it's not about being able to change, it's about being able to change while still running our business every single day. [00:04:56] Speaker 2: What we're doing today. Everything I've shown for you today, agents that help you work, that help you secure and build, these are the agents we built to enable your momentum. But the agents that will matter the most are the ones for your business that only you can create. But right now, too many agents are stuck between prototype and production, authentication, memory, tool access, security, governance. That's why we built Amazon Bedrock Agent Code. Managed Knowledge Base provides native connectors to data sources and handles all the other parts, the ingestion, parsing, storage and retrieval. The same battle tested agentic web search that powers Quik, Kiro and Alexa Plus is now available for all your agents. Context is what makes your agent's 10th decision better than its first. The right answer requires the right context and context lives in your data. And today I'm excited to announce AWS Context. This service automatically builds a knowledge graph from all your existing data. This service infers relationship across your data assets, business rules and domain knowledge and makes all of it available to your agents and your organization at runtime. We started today with a very simple idea. Using AI the right way should create momentum that constantly compounds agents for working, agents for securing, agents for building and agents you create. Every task that their agents complete makes the next one smarter. Each one compounding your momentum. Now let's go build. Thank you. So that's the AWS New York Summit. [00:06:51] Speaker 1: Let us know what you build. Thanks a lot.

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