Category: Storage

Most AI systems today have no direct understanding of the physical world because the underlying spatial data requires purpose-built preprocessing before AI can use it. By using Wherobots, built on AWS, you can transform petabyte-scale spatial data in Amazon S3 into context that AI can reason about through distributed inference, a spatial query engine, and agentic AI integrations. Learn how customers like Leaf Agriculture, SatSure, and Aarden use Wherobots on AWS to operationalize earth observation data, accelerate spatial processing by up to 300 times, and build AI systems grounded in physical reality.

OPSWAT’s MetaDefender Storage Security delivers automated file security for regulated financial institutions on AWS, combining Deep Content Disarm and Reconstruction with multi-scanning and data loss prevention capabilities. A major U.S. bank achieved 75% faster security update deployments while maintaining compliance with GDPR, HIPAA, and GLBA through containerized deployment on Amazon ECS and EKS with seamless S3 integration. Available through AWS Marketplace, the solution provides continuous monitoring, automated compliance reporting, and reduced operational costs for organizations managing sensitive data across multiple cloud regions.

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.

In this post, we explore how Seagate Technology, Petrosys Group, and AWS have collaborated to create an integrated technology fusion that transforms how oil and gas exploration companies manage, transport, and analyze their critical data assets. This solution addresses the fundamental challenge of connecting subsurface data to high-performance computing (HPC), dramatically reducing time-to-insight while enabling advanced analytical techniques that were previously impractical.

Menlo Security’s File Security technology integrates with Amazon S3 to provide automated Content Disarm and Reconstruction (CDR) that eliminates both known and unknown file-based threats without generating false positives. This solution processes files at the component level through AWS Lambda and Amazon API Gateway, automatically sanitizing uploads while preserving file functionality, all without disrupting user workflows or processing speeds.

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 […]

As organizations execute digital transformations and cloud-first initiatives, cloud sprawl and unintentional resource expansion become critical challenges. Infoblox and AWS are partnering to help organizations optimize cloud costs and improve security through enhanced asset visibility. Learn how Infoblox Universal Asset Insights discovers and organizes AWS assets across accounts and regions, helping companies reduce cloud waste while strengthening their security posture.

Life sciences organizations invest significantly in real-world data (RWD), yet face persistent challenges in turning these investments into actionable insights. Panalgo’s IHD Cloud platform on AWS addresses these challenges by deploying advanced analytics capabilities directly within customers’ secure environments. Through this approach, organizations have reduced analysis time from months to days while maintaining strict data security and regulatory compliance standards.

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.

Learn how to build scalable, real-time data lakes by combining Amazon S3 Tables with Snowflake integration. This solution enables efficient streaming data ingestion and analysis while automatically managing table optimization and maintenance. Discover how manufacturing companies can leverage this architecture to transform IoT sensor data into actionable insights, combining operational analytics with predictive maintenance capabilities. The integration between S3 Tables and Snowflake, along with SageMaker Lakehouse’s Iceberg REST endpoint, creates a robust foundation for streaming analytics that can handle high-volume data streams while maintaining performance and security.