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AWS MCP Server: Complete Guide for Building AI Agents on AWS

Learn how to build powerful AI agents on AWS MCP Server. A complete guide covering setup, architecture, tools, and real-world use cases.

01-Guid to build AI Agent on AWS MCP Server
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AWX in Action

Docker Ansible Kubernetes AWX

Ansible Orchestration at Scale

AWX in Action
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Xygeni is an AI-powered Application Security (AppSec) and Software Supply Chain Security platform designed for modern AI-first development environments. It helps organizations secure the entire software development lifecycle (SDLC) (from code and dependencies to CI/CD pipelines, cloud infrastructure, and runtime applications) through a unified, developer-friendly platform.

Built to address the growing complexity of AI-assisted development, Xygeni combines SAST, SCA, DAST, IaC Security, Secrets Detection, CI/CD Security, Malware Defense, Build Security, and ASPM into a single platform with real-time visibility and risk-based prioritization.

Xygeni goes beyond traditional AppSec tooling by focusing on exploitability, remediation risk, and automation. Its AI-powered capabilities help teams detect vulnerabilities, malicious packages, secrets leakage, and supply chain attacks while automatically recommending or applying secure fixes directly inside IDEs, pull requests, and AI-assisted workflows.

The platform also provides advanced governance and visibility for modern AI-driven development practices, including copilots, agents, plugins, and autonomous workflows. Through Xygeni DevAI and CoreAI, security teams can enforce guardrails, automate remediation, analyze business impact, and reduce operational overhead without slowing developer productivity.

With integrated malware detection, runtime-aware prioritization, SBOM generation, artifact attestation, anomaly detection, and CI/CD protection, Xygeni enables organizations to proactively secure software delivery from code to cloud while maintaining compliance with evolving security frameworks and software supply chain standards.