AWS Partner Network (APN) Blog

Category: Intermediate (200)

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Reduce Vulnerabilities on AWS with Orca Security’s Reachability Analysis

Orca Security’s innovative Reachability Analysis solution addresses the growing challenge of vulnerability management in AWS environments, offering a critical response to the 34% year-over-year increase in vulnerability exploitation reported in 2025. The solution combines Agentless Reachability Analysis, utilizing patented SideScanning™ technology for deep static inspection, with Dynamic Reachability Analysis through their eBPF-based Orca Sensor, providing comprehensive visibility across AWS services including Amazon ECR, EC2, Lambda, ECS, and EKS. Through this dual approach, organizations can achieve a 90% reduction in exploitable vulnerabilities while significantly reducing alert fatigue, as the system intelligently distinguishes between truly exploitable vulnerabilities and those that pose minimal risk in production environments.

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Enhance Identity Governance and Protection on AWS using Cisco Duo IAM

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.

Build Secure Generative AI Solutions with AWS and Zscaler

Generative AI is rapidly transforming how enterprises operate, but security remains a critical concern. According to the Zscaler ThreatLabz 2025 AI Security Report, while AI/ML tool usage has surged 36x year-over-year, 60% of this traffic was blocked due to security concerns. This post demonstrates how AWS and Zscaler’s integrated security controls help protect AI workloads while maintaining compliance and data protection.

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Building Serverless RAG Applications with Couchbase and Amazon Bedrock

This blog post explores how combining Couchbase vector search capabilities with Amazon Bedrock’s foundation models creates a powerful, Serverless Retrieval Augmented Generation (RAG) solution that enables organizations to enhance AI interactions with their specialized knowledge while reducing operational overhead. The Serverless architecture, which integrates Couchbase Capella, Amazon Bedrock, AWS Lambda, and Amazon API Gateway, allows organizations to build intelligent applications that deliver contextually relevant responses while maintaining cost efficiency through automatic scaling and pay-per-use pricing.

Transforming Life Sciences Content for the Digital Age with Viseven

Viseven’s eWizard platform, built on AWS, addresses the growing challenges in life sciences content management by offering an innovative solution that combines AI-powered capabilities, modular content management, and seamless integration with existing systems to deliver personalized customer experiences at scale. The platform leverages various AWS services, including Amazon Translate, Amazon Comprehend Medical, and Amazon Personalize, to help life sciences organizations streamline their content operations, resulting in improved efficiency, reduced costs, and better customer engagement across global markets.

Enhance Data Visibility with Cribl Search and Amazon Managed Grafana

Organizations today struggle with managing vast amounts of operational data across their infrastructure. Cribl, an AWS Partner Network member, offers solutions to handle this data explosion through efficient collection, processing, and routing capabilities. By integrating Cribl Search with Amazon Managed Grafana’s visualization tools, organizations can transform raw data into actionable insights through intuitive dashboards, enabling faster, more informed decision-making at scale for both cloud infrastructure and application management.

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Real-Time Infrastructure Intelligence with Netdata and Amazon Bedrock

Modern infrastructure produces massive amounts of telemetry data, yet understanding what matters in real-time remains challenging for operations teams. Netdata addresses this with its new AI-powered feature, Netdata Insights, which leverages Amazon Bedrock and Anthropic Claude Sonnet to bring context-aware, actionable analysis to infrastructure monitoring. Through AI-generated reports, teams can quickly analyze capacity planning, optimize performance, and investigate anomalies in their systems.

How Netop can help customers meet NIS2 Directive requirements in the EU

The NIS2 Directive enhances EU cybersecurity across critical sectors. Learn how Netop provides an integrated solution, run on AWS, that helps customers align with NIS2 Directive goals. Discover how Netop helps address the challenges of NIS2, supporting cybersecurity resilience across critical sectors within the EU.

Modernizing Healthcare with Generative Voice AI Using Deepgram on AWS

The blog discusses how Deepgram’s voice AI technology, integrated with AWS services, is modernizing healthcare by reducing administrative burdens on medical professionals. The solution uses Deepgram Nova-3 Medical for accurate medical transcription, Amazon Bedrock for AI orchestration, and Amazon EKS for deployment. Two deployment options are available: self-hosted on AWS or SaaS. Key applications include AI medical scribes, automated prescriptions, logistics enhancement, and intelligent scheduling.

Trellix uses AWS GenAI for Cybersecurity Integration

This blog highlights the approach Trellix took to accelerate the development and testing of product integrations and automated rules development. Using agentic AI methodology, Trellix is able to save over 40 hours of development time per integration resulting in a 90% reduction time to market. Trellix used Amazon Bedrock, LangChain, and Anthropic Claude in this effort.