Codacy, a leading provider of AppSec and Code Quality Automation, announced the availability of Codacy Guardrails in the new AI Agents and Tools category of AWS Marketplace. Customers can now use AWS Marketplace to easily discover, buy, and deploy AI agents solutions, including Codacy’s cloud platform and IDE plugins for catching and auto-fixing security vulnerabilities in AI-generated code, using their AWS accounts, accelerating agent and agentic workflow development.
Codacy Guardrails helps organizations catch and auto-fix vulnerabilities in their AI agents’ code suggestions before they reach the developer, enabling customers to develop secure, compliant software at the speed of AI, without slowing down the development lifecycle.
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“Our customers in FinTech and E-Commerce are already using these capabilities to add a reliable AppSec layer to their AI coding workflows without piling up a backlog of code reviews and gates in their CI/CD, demonstrating the real-world value of Codacy Guardrails.”
“By offering Codacy Guardrails in AWS Marketplace, we’re providing customers with a streamlined way to access our AppSec and Code Quality Suite, helping them buy and deploy agent solutions faster and more efficiently,” says Jaime Jorge, Co-founder and CEO at Codacy. “Our customers in FinTech and E-Commerce are already using these capabilities to add a reliable AppSec layer to their AI coding workflows without piling up a backlog of code reviews and gates in their CI/CD, demonstrating the real-world value of Codacy Guardrails.”
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Codacy Guardrails delivers essential capabilities, including automated real-time AppSec scanning (insecure libraries and licenses, hardcoded secrets, SAST, etc.) and auto-fixes for AI-generated code, scan-as-you-type feedback for human-written code, and MCP access to the Codacy API, enabling prompt-based reporting on all security and quality metrics tracked on the Codacy cloud platform. These features enable customers not only to prevent bad code from ever being committed to Git, but also to secure legacy codebases by feeding the AI agent the necessary context to fix existing issues at scale.
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Source – PRWeb
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