Category: Best Practices

As AI agents take actions across systems on behalf of your users, identity and access management must sit at the center of your security strategy. In this post, we show how Auth0 for AI Agents and Amazon Bedrock AgentCore work together to authenticate users, secure agent-to-agent communication, govern tool access, and enforce fine-grained authorization. Learn how to extend your existing identity infrastructure to agentic workloads and replace fragmented security with a consistent, maintainable model.

Discover how hybrid elasticity introduces a zero-migration data access model that decouples data residency from compute elasticity, enabling enterprises to transform existing data centers into dynamic hybrid data hubs with on-demand cloud scale without moving data.

Accenture and AWS are closing the data readiness gap that stalls most enterprise AI initiatives with three new agentic AI solutions—now available in AWS Marketplace—that autonomously discover, migrate, govern, and make enterprise data consumable for generative AI and agentic applications. Built on Amazon Bedrock AgentCore and backed by 16 years of partnership experience, these solutions help organizations turn fragmented, legacy data estates into strategic assets ready for agentic AI at enterprise scale.

Learn how AWS partners use the Hiring Side of Innovation (HSOI) program to cut hiring cycle time by 25–40%, shift from intuition-based to evidence-based recruiting, and expand access to underrepresented talent pools. This structured AWS enablement program aligns talent strategy with business objectives to deliver measurable outcomes — from headcount attainment and funnel conversion improvements to incremental revenue and a strengthened strategic partnership with AWS.

SAS Viya Workbench on AWS provides a unified cloud environment for Python, R, and SAS, letting teams focus on building models instead of managing infrastructure. Its split-plane architecture keeps your data securely within your AWS account while SAS handles orchestration. With elastic scalability, pre-configured environments, and built-in collaboration, teams can accelerate analytics innovation from day one.

Modern software teams no longer need to choose between deployment speed and security. CircleCI’s implementation of the AWS Deployment Pipeline Reference Architecture demonstrates how to build enterprise-grade deployment pipelines that deliver 50% faster deployments while reducing security vulnerabilities by 85%. This reference implementation combines the robust cloud infrastructure of AWS with the flexible CI/CD platform of CircleCI, providing a ready-to-fork blueprint that organizations can customize and deploy in an afternoon.

The new open-source Amazon Lex connector for Cisco Webex Contact Center enables organizations to deploy AI-powered virtual agents within their existing Cisco environment without costly rebuilds, delivering natural voice interactions across 25+ languages while maintaining current workflows and systems. This integration combines AWS AI services including Amazon Lex, Amazon Polly, and Amazon Bedrock with Cisco’s contact center platform to provide immediate customer responses, reduce wait times, and allow agents to focus on complex interactions that require human expertise.

Explore how to scale content enablement with generative AI. From rapid video localization to automated workflow management, learn practical ways to transform content operations and access resources to accelerate implementation through the AWS AI & Data Knowledge Center.

Modern enterprises face a critical challenge: maintaining security visibility across thousands of internet-facing assets created during rapid development cycles. Discover how Detectify’s AWS-integrated solution combines continuous Surface Monitoring and Application Scanning with community-powered intelligence from ethical security researchers to automatically discover, test, and secure external assets, transforming security from reactive, point-in-time testing into an always-on defense that scales with business growth and adapts as quickly as threats emerge.

This post highlights how organizations can adopt Code Ocean to empower research IT and equip scientists with a scalable, reproducible research platform. We’ll also highlight a real-world case study from the Allen Institute and introduce how research IT delivers secure, compliant access to agentic AI with Trusted Agents, which was recently launched in Code Ocean 4.0.