
























An article from
Dive Brief
The updates reflect Anthropic’s Mythos model and the speed at which vulnerabilities can be surfaced.
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.”
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