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AWS unveils agent security, data access tools
Paige Gross · 2026-06-26 · via Cybersecurity Dive - Latest News

An article from site logo

Dive Brief

The updates reflect Anthropic’s Mythos model and the speed at which vulnerabilities can be surfaced.

Published June 26, 2026

an executive speaks on stage

Swami Sivasubramanian, VP of agentic AI at AWS, speaking June 17, 2026, at the AWS Summit in New York City. The hyperscaler unveiled tools to address cybersecurity concerns as more advanced AI models change the risk landscape. Paige Gross/Cybersecurity Dive

First published on

CIO Dive

Dive Brief:

  • AWS launched agentic tools AWS Continuum, which flags and helps remediate security risks, and AWS Context, a search layer that uses a company’s data to make better informed agents, at its AWS Summit in New York City on June 17.
  • The company rolled out the tools as the rise in AI agents is rapidly changing the way enterprises operate, reshaping the cybersecurity landscape and necessitating tools that connect siloed data.
  • AWS rolled out new capabilities for AI tools Kiro, AWS DevOps Agent, AWS Transform for modernization and Amazon Bedrock AgentCore to build and deploy agents. It also updated Amazon Quick, an agentic assistant-modeled AI application, which was released as Quick Suite last year.

Dive Insight: 

Enterprises have shifted from talking about and piloting AI agents to relying on them to complete large swaths of their work, said Swami Sivasubramanian, VP of Agentic AI at AWS, during the company’s keynote on June 17

“If your teams are still waiting on you to connect the dots, if humans are still forced to be the orchestration layer, your momentum actually passes you,” Sivasubramanian said.

With this shift comes the need for companies to strengthen and tune their data and agents, which is what AWS Context aims to achieve, Sriram Devanathan, director of agentic AI and software modernization at AWS, told CIO Dive in an interview. 

The service builds a knowledge graph from a company’s existing data, including business rules and domain knowledge, that teaches agents how to navigate the stores of an organization’s knowledge and find the right answer. It acts as an agentic search layer for an organization that is connected to all agents and has built-in governance, according to AWS.

Agents, whether for security or DevOps, are helping to automate parts of a company’s software development life cycle, Devanathan told CIO Dive. At some point, they need to talk to each other, he said.  

“All of our agents, at some level, need to understand which apps are important, which apps need high priority fixes, where they run, how they run, how they are built,” he said. 

AWS Continuum is the company’s response to the release of Anthropic Mythos and Claude Fable, Chet Kapoor, VP of security services and observability at AWS, said during the keynote. The AI security service discovers security threats, informs leadership of where to act, validates solutions in a sandbox and makes recommendations for remediating security risks. 

“I call it, ‘The Mythos moment,’” Kapoor said. “It accelerated our plans significantly. Mythos set a new bar for finding vulnerabilities.”