Category: Learning Levels

As organizations rapidly adopt generative AI models in enterprise workflows, they face increasing security risks such as prompt injection attacks, model poisoning, and data extraction vulnerabilities. This blog demonstrates how Protect AI’s Guardian and Recon tools integrate with Amazon Bedrock to secure DeepSeek model deployments.

REGDATA’s Protection Suite (RPS) addresses a critical challenge faced by modern enterprises: balancing global scalability with data security and regulatory compliance. Through a partnership with AWS, REGDATA demonstrates how RPS integrates with Temenos banking platforms to enable financial institutions to maintain a single, global IT infrastructure while ensuring data protection across jurisdictions. The case study highlights how banks can modernize their operations without compromising regulatory requirements.

Modern enterprises thrive on interconnected digital partnerships, leveraging vendors to drive innovation and growth. SecurityScorecard’s MAX provides comprehensive supply chain visibility that helps organizations proactively manage their vendor ecosystem. By leveraging MAX through AWS Marketplace, teams can streamline vendor collaboration processes and reduce issue resolution time by up to 90%, transforming supply chain security into a strategic business advantage.

Organizations shouldn’t have to choose between protecting sensitive data and driving innovation. That’s why DataMasque, an Advanced AWS Technology Partner, is raising the bar on data privacy with automated masking solutions that transform how businesses handle sensitive information. By replacing real customer data with high-fidelity synthetic data, teams can develop, test, and analyze with confidence – all while maintaining regulatory compliance. Available on AWS Marketplace, DataMasque’s seamless integration with AWS services empowers customers to innovate faster while keeping sensitive data secure.

Tresle.ai, using over 49 AWS services, delivers a complete generative AI platform that enables businesses to harness AI capabilities for personalized recommendations, content generation, and data insights. With advanced vector search technology at its core, the platform makes it effortless for companies to integrate AI into their applications and uncover meaningful relationships across diverse datasets.

In the rapidly evolving landscape of Generative AI (GenAI), Orkes Conductor emerges as a powerful orchestration platform that helps organizations manage complex workflows, integrate with AWS services, and implement essential safeguards for GenAI applications. The platform offers pre-built LLM tasks, robust error handling, and monitoring capabilities, enabling developers to create sophisticated AI workflows while providing enterprise features like RBAC, audit logs, and versioning for supported applications.

Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with Amazon Bedrock and other popular AI frameworks.

The challenge for clinicians involves the secure management and analysis of patient data from various medical sensors and monitoring devices. Learn how Vivalink’s Biometrics Data Platform on AWS is transforming patient care through secure, scalable, and intelligent biometric data management.

This blog explores how Cloud Native Qumulo (CNQ) on AWS enables organizations to modernize and scale their cloud-based file storage infrastructure. By leveraging AWS’s cloud-native architecture, CNQ ensures compatibility across hybrid environments, providing cost-efficient, high-performance storage solutions for demanding workloads, including AI, HPC, and large-scale data management.

Discover how integrating Tealium CDP with Amazon Connect transforms customer service by bringing real-time digital journey insights directly to your contact center. Understand a reference architecture for seamlessly incorporating customer behavior data from web, mobile, and connected devices into Amazon Connect. See how this integration empowers agents with contextual intelligence, reduces resolution times, and delivers hyper-personalized experiences that drive customer satisfaction.