Tag: Generative AI

As AI workloads scale on AWS, the API layer becomes the primary security surface where every prompt, model response, and agent action flows through. AWS foundational controls and Wallarm runtime API security work together to deliver continuous discovery, behavioral threat detection, and output validation, helping organizations secure agentic systems without re-architecting their environments.

As cloud-native environments expand, security and operations leaders face mounting pressure to reduce response times while managing growing alert volumes and team capacity. Elastic’s AI-powered features on Amazon Bedrock automate the path from detection to resolution across both security and observability workflows. Learn how conversational agents, automated workflows, and custom AI agents accelerate incident response and root cause analysis on AWS.

As AI agents take actions across systems on behalf of your users, identity and access management must sit at the center of your security strategy. In this post, we show how Auth0 for AI Agents and Amazon Bedrock AgentCore work together to authenticate users, secure agent-to-agent communication, govern tool access, and enforce fine-grained authorization. Learn how to extend your existing identity infrastructure to agentic workloads and replace fragmented security with a consistent, maintainable model.

Learn how the integration of Amazon Nova multimodal intelligence with Bria Fibo’s deterministic visual foundation model solves the enterprise challenges of unpredictable outputs, inconsistent branding, and legal uncertainty in AI image generation. This post explores how structured Visual Generation Language (VGL) and 100% licensed training data deliver reproducible, brand-consistent visuals at scale—transforming generative AI from an experimental technology into a production-ready content pipeline available in AWS Marketplace and Amazon SageMaker AI.

What if one database could handle transactions, analytics, and semantic vector search for your AI agents—all without managing separate systems? TiDB Cloud on AWS, integrated with Amazon Bedrock, delivers a unified, serverless architecture purpose-built for the demands of autonomous AI. In this post, PingCAP and AWS walk you through the reference architecture, real-world use cases, and the key design decisions to make your generative AI applications production ready using the TiDB console.

Integration complexity—not technology—remains the biggest barrier to deploying AI in supply chain operations, with custom API development consuming up to six months of engineering effort per project. Genpact’s Kinaxis MCP Server, built on Amazon Bedrock AgentCore, collapses that timeline from 12 weeks to just 3 days by replacing dozens of custom integrations with a single, secure interface powered by the Model Context Protocol standard. Learn how organizations running Kinaxis RapidResponse on AWS are achieving up to 18% improvement in forecast accuracy and 23% reduction in stockout rates—with enterprise-grade security and session isolation built in from day one.

Inflectra, an AWS ISV Accelerate Partner, has developed Rapise—an AI-powered test automation platform that leverages Amazon Bedrock and Amazon Nova to address the testing bottleneck created by modern agentic coding tools. By automatically generating test scripts, adapting to application changes with self-healing capabilities, and providing intelligent defect detection, Rapise reduces QA cycle times by up to 70% while delivering audit-ready compliance tracking for regulated industries including healthcare, life sciences, and financial services.

Learn how WRITER, an AWS Partner, is transforming healthcare operations through a purpose-built enterprise AI platform designed for regulated environments. WRITER’s platform features over 100 prebuilt healthcare agents that automate high-burden workflows such as utilization management letters, clinical documentation, and RFP responses, freeing clinicians to focus on patient care.

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 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.