Category: Learning Levels

Discover how AWS and BeyondTrust deliver comprehensive identity security solutions that enable organizations to implement zero trust principles, manage privileged access, and accelerate secure cloud adoption. Learn about six essential identity security controls including just-in-time access, enhanced remote access features, and automated secrets management that help organizations reduce identity-based risks while maintaining operational efficiency across cloud, hybrid, and on-premises environments.

We’re announcing strategic updates to Channel Partner Programs and Managed Services Provider Program for 2026, featuring enhanced incentives, streamlined benefits, and new deal registration capabilities. These changes are designed to help Partners scale their AWS practices more efficiently while driving greater customer success in digital modernization and AI initiatives.

Learn how to enhance your AWS security within your organization through Infrastructure as Code using ControlMonkey together with AWS Control Tower. This post illustrates the usage of both tools to comply with the PCI DSS standard. We’ll first look at how AWS Control Tower provides a foundation for secure, compliant infrastructure. Afterwards, we’ll explore how ControlMonkey enhances this foundation by allowing teams to enable control policies that are directly added to the IaC review GitOps process.

Learn how to balance the competing demands of authentication security and user experience in today’s digital landscape, where customers expect frictionless interactions while businesses require strong fraud prevention. This post covers the integration between Amazon Cognito and Authsignal, showcasing how they work together to create adaptive authentication experiences that respond to user context and business needs.

ASAPP, an AWS Advanced Partner, provides AI-powered solutions for customer service. Founded in 2014, ASAPP helps transform contact centers by automating tasks, assisting representatives, and improving customer experience. Their GenerativeAgent platform handles complex conversations while maintaining enterprise-level performance and safety standards. This blog explains how ASAPP’s GenerativeAgent platform, built on AWS infrastructure, combines cloud capabilities with specialized AI to transform customer service operations.

We’re announcing new benefits for AWS Managed Services Provider (MSP) Partners in 2026 to help scale their AWS practices and deliver outcomes in AI, security, and modernization.

We’re excited to bring you AWS re:Invent 2025 both in-person and virtually! The conference is December 1 – December 5 in Las Vegas, with virtual opportunities to watch keynotes and Innovation Talks live. To help you prepare, we curated a list of key re:Invent information for AWS Partner and AWS Marketplace communities.

The rapid adoption of generative AI tools by employees is revolutionizing workflow efficiency and productivity across industries. The workforce usage of public AI models requires unique security considerations that traditional approaches struggle to address. This post delves into how SurePath AI empowers organizations to navigate these challenges, implementing robust security frameworks for Gen AI adoption. We will see how SurePath AI enables safe innovation while helping protect sensitive data, and maintaining regulatory compliance.

Over the past few years, no-code and low-code platforms have revolutionized software development. As AI assistance becomes commonplace, organizations seek tools that bridge the gap between vision and execution. Zendesk App Builder, powered by Amazon Bedrock and built on AWS, offers a solution that allows customers to create custom apps that extend Zendesk’s capabilities to meet unique customer service needs.

The integration of Amazon Bedrock and Kong AI Gateway provides organizations with a comprehensive solution for scaling generative AI implementations, addressing key challenges in cost management, model orchestration, and operational visibility. Through Kong AI Gateway’s token-based cost controls, automated semantic routing across multiple LLMs, and comprehensive AI observability features, organizations can effectively manage and govern their AI applications while leveraging Amazon Bedrock’s secure foundation of leading foundation models and managed infrastructure.