Category: Technical How-to

By Aaron Gettings, Director of Engineering at Cloud Storage Security by Ashok Mahajan, Sr. Partner Solutions Architect, Startups at AWS by Neil Salamack, Senior Product Marketing Manager at AWS Managing file storage data security is an inherently complex task. Uncoordinated file storage in the cloud often leads to disparate environments with fragmented data. The result […]

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.

Decentralization of work and infrastructure in hybrid environments is leading to identity and access management challenges due to lack of centralized visibility and governance. In this blog, let’s learn how customers can solve these challenges and enhance their identity governance and security with Cisco Duo Identity Federation and advanced access management features. Cisco Duo seamlessly integrates with AWS IAM Identity Center and other identity sources and acts as an identity aggregator that efficiently routes user authentication to appropriate sources. This integrated solution delivers both improved security with end-to-end phishing resistance and AI-driven identity intelligence, and a simplified user experience through passwordless authentication.

The blog introduces a five-layer Generative AI Landing Zone architecture on AWS that helps organizations quickly implement and scale AI capabilities while maintaining security and compliance standards. The solution addresses key challenges like compliance delays, pilot-to-production gaps, and limited visibility through features such as automated guardrails, same-day sandboxes, reusable blueprints, built-in observability, and continuous governance.

BMC’s HelixGPT, combined with Amazon Web Services, can transform IT operations by reducing Mean Time To Repair (MTTR) and enhancing decision-making processes.

By Valeriy Leykin, Senior Product Manager – Dynatrace By Erick Leon, Senior Manager Global Tech Alliances – Dynatrace By Shashiraj Jeripotula, Principal Partner Solutions Architect – AWS Dynatrace In complex cloud environments, security findings are often siloed across build-time and runtime tooling, and spread across various environments. Therefore, obtaining a holistic view of your security […]

Learn how Temporal’s workflow engine, powers resilient applications, ensuring consistency and automatic recovery during system failures. In this post we will examine distributed system challenges and demonstrate how Temporal’s solution, on AWS, enables durable execution across organizations.

Life sciences manufacturers face challenges in maintaining consistent production operations while meeting strict regulatory requirements. Many customers need to run their Manufacturing Execution Systems (MES) on-premises, but still want to benefit operationally from using managed cloud services and maintaining a consistent software stack across their on-premise and cloud environments. AWS Outposts is a family of fully managed solutions delivering AWS infrastructure and AWS services into virtually any on- premises, colocation, or edge location for a consistent hybrid experience.

Learn how to build a Generative AI assistant to simplify complex data analysis with Splunk, by converting conversational requests into optimized Splunk SPL queries for AWS security and operational logs. Built on Amazon Bedrock agents with integrated knowledge bases and action groups, this solution automatically executes queries and delivers actionable insights, democratizing access to powerful data analytics capabilities for security teams.

Based on Knowit’s ADAM guide, this blog post provides practical insights and strategies for achieving GDPR compliance in AWS environments, including essential frameworks for managing compliance obligations and leveraging AWS features and services. The post outlines a structured seven-step approach to systematically assess and document GDPR compliance while emphasizing the importance of understanding data controller and processor roles, encryption requirements, and cross-border data transfer considerations.