AWS is bringing Continuum for code vulnerability directly into developer workflows where code is being written: Anthropic Claude Code, AWS Kiro and OpenAI Codex. Here’s what partners should know.
AWS integrating its AI-powered security platform Continuum for code vulnerability into Anthropic Claude Code and OpenAI Codex will help solution providers win more AI deals in security-minded enterprises, AWS partners said.
“Model choice was never the hard part for enterprises. Trust in what the model does in production is,” said Val Henderson, CEO of AWS Premier Partner Caylent.
“That’s why we treat governance as something that has to be in the architecture from day one, not a layer you add after go-live, or the project never leaves the pilot stage,” she said.
Extending AWS Continuum directly into developer workflows where code is being written—like Anthropic Claude Code, OpenAI Codex, and AWS Kiro—is what AI users are seeking, partners said.
[Related: OpenAI’s New AWS Director On ‘Significant’ Codex, ChatGPT And Bedrock Opportunity For Partners]
Bizcloud Experts President Sepehr Noorizadeh, who partners with AWS and Anthropic, said developers can now use these integrations to discover vulnerabilities, validate and remediate—all within their existing AWS workflows.
“It’s about how can you give them the enterprise-grade security, governance and measures that your customer knows and is familiar with and provide the right access control to it?” said Noorizadeh.
AWS Continuum for code vulnerabilities discovers vulnerabilities, prioritizes them within the context of a customer’s business, validates them in a sandbox, and provides remediation at speed.
AWS dubs Continuum as an agent-team loop architecture, an orchestration layer that picks a model per task and holds the connections in a client’s account.
“It’s a great thing for the customer because they now have more choices on the platform to use and better, faster security,” Noorizadeh said.
How Continuum Works With OpenAI Codex, Kiro and Anthropic Claude Code
Within Claude Code, Codex and Kiro coding environments, on-demand vulnerability scans identify potential issues and sends findings to Continuum.
Continuum prioritizes them within the context of the customer’s AWS environment—including configurations, policies and exposure surfaces—and validates them in a sandbox. It then returns prioritized, contextual intelligence back to the coding assistant, which adjusts its recommendations accordingly, AWS said.
For greenfield code, users can leverage the Continuum plugin within Codex, Claude Code or Kiro to get security-validated suggestions in their development environment.
For existing code, clients can use Continuum for code vulnerabilities from AWS to discover, prioritize, validate and remediate across environments.
AWS Exec Explains Integrating With OpenAI And Anthropic
“We are working with Anthropic and OpenAI to bring Continuum into the developer workflows where code is being written,” said Chet Kapoor, vice president of security, search and observability at AWS, in a blog post.
Kapoor said each new generation of AI models brings new capabilities, and different models excel at different tasks. This can create a challenge for security teams as they have to do more findings, handle more complexity, and determine which model matters most to a client.
“The next challenge customers face is building the correct harness and orchestration to turn these models into a single interface that goes from detection through remediation,” Kapoor said. “This is what we set out to do when creating Continuum, which brings together many different models and uses the model that’s most effective for each part of the process.”
AWS Is A Cloud Leader For AI Model Choice
AWS partners said AWS is a market leader when it comes to AI model choice on cloud infrastructure.
“AWS is saying to customers, ‘We’re going to give you the infrastructure and the platform to get secure and scale. And we’re going to give you all the access and choice of models you need,’” said Bizcloud Experts’ Noorizadeh.
“As the market itself has shifted and matured, that’s where you’re seeing the attraction that’s coming with OpenAI and Anthropic now being on the AWS platform,” he said. “A big value prop for AWS is, ‘We’re going to give our customers choice to build on our platform with what we see as the best AI solution for them.’”
AWS’ model openness on its hardware and willingness to form various integrations with companies like Anthropic is a win for partners and customers, Caylent’s Henderson said.
“Claude models on Bedrock run faster because of AWS’ Trainium infrastructure underneath them—same model, meaningfully better performance,” said Henderson. “It’s an infrastructure advantage and it only shows up when the chip, the platform and the model are engineered to work together.”
AWS’ $169B Run Rate And No. 1 Market-Share Position
AWS generated $42.2 billion in revenue during the second quarter of 2026, representing an increase of 37 percent year over year.
The Seattle-based cloud giant now has an annual run rate of $169 billion.
As of the second quarter of 2026, AWS remains the dominant global cloud market-share leader.
AWS won 28 percent share of global enterprise spending on cloud infrastructure services in the second quarter of 2026. Microsoft placed No. 2 with 20 percent share, followed by Google with 15 percent share.
