Category: Partner solutions

F5 AI Guardrails and F5 AI Red Team deliver continuous adaptive security for AI applications on AWS Bedrock. This post introduces three capabilities for enterprise AI security: pre-deployment model evaluation, adversarial testing at scale, and adaptive runtime protection. Learn how these capabilities compress the gap between threat discovery and defense deployment from weeks to minutes.

AWS Partners can now access three new Forward Deployed Engineering (FDE) pathways and earn credentials through AWS Skill Builder to build and validate the depth required for production-ready agentic AI delivery.

The AWS Data Competency (previously AWS Data and Analytics Competency) is expanding with two new categories—Databases and Relational Databases—along with new performance-based Signature benefits for Partners delivering data architectures at scale.

Learn how a major UK energy retailer partnered with Gorilla, an AWS Partner, to transform its residential pricebook process from a 10 to 14 day manual workflow into an automated, cloud-native solution that delivers updated pricing in under one hour, achieving a 95% reduction in cycle time, 75% fewer pricing errors, and full Market-wide Half Hourly Settlement (MHHS) compliance, all without replacing its existing SAP IS-U infrastructure.

Nubank, one of the world’s largest digital banks, runs entirely on AWS while serving 119 million customers. Nubank achieved over $15 million in verified annualized savings by partnering with PointFive and using Amazon DynamoDB pricing economics. This post explores how AWS, PointFive, and Nubank collaborated to turn cloud efficiency into a funding engine for resilience and AI innovation.

A major bottleneck for controlling Apache Spark costs or scaling analytics and AI workloads is Spark’s hard dependency on traditional CPU-only infrastructure. In this post, learn how DataPelago Accelerator for Spark closes that gap by seamlessly running your Spark workloads on heterogeneous hardware, delivering up to 10 times faster execution and up to 80% lower costs with zero code changes, no data migration, and no disruption to existing security configurations. See production results across social media, ecommerce, and financial services customers as you find out how to run a proof of concept on your own workloads.

When customers come to AWS with a business challenge, sellers need to identify the right partner and solution—fast. Here are three actions you can take today in AWS Partner Central and AWS Marketplace to make your listings easier to find, understand, and recommend.

Modern data architectures often rely on separate databases for transactions, analytics, and AI, leading to extract, transform, and load (ETL) latency; data inconsistency; and rising costs. OceanBase addresses these challenges with a unified multimodel architecture that converges online transaction processing (OLTP), online analytical processing (OLAP), and vector retrieval within a single engine on Amazon Web Services (AWS).

As enterprises deploy AI agents at scale, traditional identity governance designed for human users can’t keep pace. With 80% of organizations reporting unintended agent actions, the need for purpose-built agent identity security has never been greater. Learn how SailPoint’s Agent Identity Security (AIS), built on Amazon Bedrock AgentCore, extends proven governance principles to autonomous AI agents, enabling automatic discovery, least-privilege enforcement, and continuous access reviews without slowing innovation.

Grubhub and Vody are proving that the winners of AI-powered commerce won’t be defined by a single breakthrough feature, they’ll be the retailers who invest early in unified, AI-ready data foundations built on AWS. By modernizing catalog, content, and behavioral data across 400,000+ merchants, they delivered initial model results in just 6–10 weeks and demonstrated measurable improvements in search relevance, conversion, and customer experience, offering a blueprint for retailers preparing to lead the next wave of AI innovation.