AWS Partner Network (APN) Blog
Category: Partner solutions
Transform CTEM with Zafran’s threat exposure management platform on AWS
Zafran’s Threat Exposure Management Platform, built on AWS services operationalizes continuous threat exposure management (CTEM) across hybrid-cloud environments addressing gaps that traditional periodic scanning can’t solve in today’s threat landscape. With attackers exploiting vulnerabilities within days or minutes, organizations need contextual, automated approaches. Learn how customers are achieving up to 94% reduction in critical vulnerabilities through Zafran’s prioritization and remediation workflows.
MoneySuperMarket’s AI leap with Firemind and AWS
MoneySuperMarket found that searching for the right credit card is often overwhelming for customers. In partnership with Firemind and AWS, they built Money Concierge, an AI-powered assistant that provides personalized suggestions in natural language, in only 6 months. The solution has helped over 55,000 customers in their credit card journey achieving 93% positive feedback.
Generative AI for operations leaders: How Domo and Amazon Bedrock optimize efficiency
For COOs, generative AI isn’t just another technology—it’s a fundamental shift in how you lead and execute. The integration of Domo’s agentic AI with Amazon Bedrock transforms operational workflows from reactive to predictive, automating decisions while surfacing insights that drive measurable outcomes. By embracing this framework, you’re positioning your organization to lead with data-driven confidence and sustainable competitive advantage.
Behind Securonix’s Unified Defense SIEM Spark Architecture on Amazon EKS: 99.99% Availability Across 10,000+ Concurrent Jobs
Securonix, a six-time Gartner Magic Quadrant Leader for SIEM, processes more than 78 million security events per second to help organizations reduce cybersecurity threats in near real time. Facing rising data volumes and an increasingly complex threat landscape, the company partnered with AWS Enterprise Support to modernize its infrastructure, migrating Spark processing workloads to Amazon EKS across 40+ clusters executing over 10,000 concurrent jobs. The transformation delivered impressive results: 30% improvement in cost performance, 99.99% availability, 91% faster code deployment (from 3-4 hours to 15 minutes), and 50% reduction in job recovery time. This modernization not only freed engineering teams from maintenance overhead but also established a scalable foundation for future growth, including planned integration of Amazon Bedrock’s generative AI capabilities.
Scale AI application in production: Build a fault-tolerant AI gateway with SnapSoft
This post introduces SnapSoft’s AI gateway solution, which creates a fault-tolerant architecture by intelligently routing requests across multiple providers, AWS accounts, and Regions to ensure continuous operation even during peak demand. Learn how GDE-MIT, an EdTech platform serving thousands of students, migrated from a single-endpoint architecture to achieve high availability, substantial cost savings, and production-scale performance using this multi-provider approach.
Unlock test intelligence with natural language: QMetry and Amazon Bedrock integration
QMetry from SmartBear powered by Amazon Bedrock transforms how teams plan, manage, and analyze testing. The platform introduces smart AI search and AI-powered SQL generation, allowing users to interact with test data using straightforward, natural language instead of complex SQL queries. This helps teams find information faster, shortens feedback loops, and enables confident release decisions, turning quality testing into a strategic advantage for modern software delivery.
AI-Powered Connected Customer Experience using Amazon Connect and MoEngage
Learn more about how MoEngage integrated their customer engagement platform with Amazon Connect, creating a connected customer experience ecosystem. The integration combines MoEngage’s data-driven insights and omnichannel capabilities with Amazon Connect’s AI-native contact center to deliver context-aware interactions across all touchpoints. Organizations gain a 360-degree view of customers, orchestrate connected journeys, and transform reactive customer service into proactive, personalized experiences that drive satisfaction and measurable business outcomes.
AWS Specialization Program: 2025 Enhancements and Looking Ahead
This blog covers a recap of 2025 enhancements to the AWS Specialization Program, including streamlined validation processes that reduced application time by 70%, enhanced AWS Marketplace visibility through badging and co-sell scoring, additional marketing funding, new AI categories, and more.
Accelerating security response with Tines and AWS Security Hub
Tines connects AWS Security Hub with security and IT tools to enrich alerts and automate resolution. Through intelligent workflows, teams can balance human insight with automation to achieve faster, more reliable security outcomes.
How Talkdesk CXA and AWS are Redefining Customer Experience with Agentic AI
Talkdesk Customer Experience Automation (CXA), built on AWS, transforms customer engagement through Agentic AI and large language models. This AI-powered platform helps enterprises automate outcomes, delivering personalized, intelligent service at scale through multi-agent orchestration and real-time data access. Organizations have achieved 50% faster resolution times, improved compliance, and accelerated deployment in regulated industries. By leveraging AWS’s scalable infrastructure, Talkdesk CXA enables consistent experiences across all channels, generates actionable insights, and significantly lowers cost-to-serve—enhancing both customer satisfaction and employee productivity across retail, financial services, healthcare, and public sector organizations.









