Tag: AWS Partner Solution

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.

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.

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.

Discover how Trend Vision One™ and AWS services work together to address the most critical cloud security risks. Managing cloud risk requires more than merely deploying security features—it demands a continuous, integrated approach. Trend Vision One™ offers a comprehensive risk management platform that combines attack surface discovery, risk assessment and prioritization, and mitigation options to complement AWS solutions and strengthen your security posture in the cloud.

Discover how AWS and Ona enable enterprises to build and scale GenAI development environments with complete security and compliance. This blog explores the powerful integration of Amazon Bedrock and Ona’s secure workspace platform, showing how organisations can accelerate AI-native development from initial experimentation to production-ready systems while maintaining HIPAA, SOC2, and FedRAMP compliance. Learn how leading enterprises are achieving 10x engineering output without expanding their security surface or risking vendor lock-in.

Splunk and Amazon Bedrock’s integration addresses the challenge of analyzing vast machine data effectively. By bringing external foundation models into Splunk workflows, security analysts can automatically extract contextual insights from raw events, correlate information across sources, and translate complex findings into clear next steps—all without specialized AI expertise. This helps organizations find security threats faster and focus security teams on high-priority work while maintaining their security posture.

Developers need one powerful hub that puts every tool and resource at their fingertips while keeping innovation flowing at full speed. This is where the concept of a developer portal comes into play, offering a solution that addresses these points and drives improvements in developer productivity. Learn how you can streamline building your internal developer portal for your AWS infrastructure with Port.

Learn how Moneythor’s solution on AWS lowers customer acquisition cost and increases customer engagement through personalization and gamification in financial services by leveraging Amazon EKS, Amazon RDS and Amazon Bedrock.

Discover how Superna Defender helps protect your AWS cloud storage from ransomware and cyber threats. Learn about real-time monitoring, threat detection, and automated recovery features that safeguard your Amazon S3 and Amazon FSx for Windows File server storage resources while maintaining compliance with cybersecurity frameworks.

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.