AWS Summit New York 2026: New ways to make AI agents more effective at work

Page overview Key takeaways 1 Key takeaways 2 Introducing AWS Continuum for code vulnerabilities, agentic security at machine speed 3 AWS Context helps agents navigate a company’s data to be more effective at scale 4 New Amazon Quick autonomous agents work on your behalf so you can reclaim your time 5 Orchestrate agents on the go with a mobile app for Kiro 6 With Release Management in AWS DevOps Agent, your agents don’t just write code, they help you ship safely and reliably 7 AWS Transform’s continuous modernization capability keeps you ahead of tech debt 8 Build, connect, and optimize production agents securely at scale with new Amazon Bedrock AgentCore enhancements 9 Southwest Airlines accelerates AI adoption and cloud modernization with AWS Key takeaways AWS Continuum for code vulnerabilities is a new AI-native security service that continuously discovers, prioritizes, validates, and remediates security risks.

AWS Context provides a comprehensive knowledge graph so customers can build agents that know where to get the information they need, provide the right answer or take the right next step, faster. New capabilities across Amazon Quick, Kiro, AWS DevOps Agent, AWS Transform, and Amazon Bedrock AgentCore expand what customers can do with agents.

Today at AWS Summit New York, I shared insights into how agents are being put to work effectively and how they create momentum across global organizations.

I also showed the new innovations that are helping you get there, including AWS Continuum, a new AI-native security service, and AWS Context, a knowledge graph that gives agents access to the context they need to do their best work, along with new innovations across Amazon Quick, Kiro, AWS DevOps Agent, AWS Transform, and Amazon Bedrock AgentCore.

Over the last six months, there has been a seismic shift as companies have started to move from talking about agents to putting them to work. Agents are building apps, securing systems, answering complex customer questions, and making decisions autonomously. One of the remarkable things about agents is the more you use them, the more you get done.

More interactions give agents more context. More context leads to better outcomes. Those better outcomes increase how much you trust them. The more trust you have, the more work you hand off to them. That compounding momentum widens the gap between companies that embrace AI and those who do not.

While every business has unique challenges and obstacles to overcome, the innovations we launched today are aimed at helping you more effectively put agents to work and accelerate how you solve problems.

Introducing AWS Continuum for code vulnerabilities, agentic security at machine speed We’ve been thinking a lot about where the security world is going and the role that agents play in responding to the threats companies face. In an agentic world, telemetry, context, reasoning, and actions are the new pillars to build around.

Over the last few months, we’ve seen specialized security models like Claude Mythos emerge, validating our perspective. The use of these models by attackers and defenders has greatly accelerated the ability to find and exploit vulnerabilities.

This new reality means that you must stay ahead of the threats you face at machine speed, using agents to speed up their response by constantly processing information and taking action.

To help you keep pace in this new threat environment, we announced AWS Continuum for code vulnerabilities, which addresses the full lifecycle of managing code vulnerabilities at machine speed.

It continuously discovers vulnerabilities, validates which are genuinely exploitable, prioritizes by business context, and helps you remediate them across the full stack within guardrails you define. It’s designed to be model agnostic, using the advantages of different models where they perform best and will integrate new models as they emerge.

At every stage, you have full visibility into what Continuum is doing, why it suggested a specific action, and what would happen if that action was rolled back. Every decision is explainable, every action is auditable, and every outcome feeds back into the system to improve the next cycle.

We are also launching Continuum threat modeling, which automatically generates comprehensive threat models from design documents or source code and outputs results in an industry-standard format.

Learn more: Introducing AWS Continuum: security at machine speed AWS Context helps agents navigate a company’s data to be more effective at scale AWS Context is a new service that automatically builds a knowledge graph from your existing data that can be used by your agents.

It infers the relationships between your data assets, business rules, and domain knowledge, and makes all of it available to every agent in your organization to help them get to the right answer. Context is what makes your agent’s tenth decision better than its first. With the right context, your agent can see