Category: Generative AI

Banking, financial services, and insurance (BFSI) institutions need AI systems that can act autonomously at market speed, but autonomy without governance is a nonstarter in an industry defined by regulatory intensity and operational risk. In this post, Apexon and AWS present an architecture-first approach to operationalizing agentic AI on AWS, with governance built in from the start across three layers: intelligence, orchestration and execution, and governance, security, and audit. Learn how governed agentic patterns apply to core BFSI workflows like customer onboarding, credit processing, and payments exception handling, enabling autonomy at scale while keeping every action traceable and auditable.

AWS Partners can now access three new Forward Deployed Engineering (FDE) pathways and earn credentials through AWS Skill Builder to build and validate the depth required for production-ready agentic AI delivery.

Modern data architectures often rely on separate databases for transactions, analytics, and AI, leading to extract, transform, and load (ETL) latency; data inconsistency; and rising costs. OceanBase addresses these challenges with a unified multimodel architecture that converges online transaction processing (OLTP), online analytical processing (OLAP), and vector retrieval within a single engine on Amazon Web Services (AWS).

Aikido Security and Kiro help development teams secure the AI development lifecycle without slowing release velocity. The Aikido Kiro Power brings automated vulnerability detection, secrets scanning, and infrastructure as code checks directly into the agentic development workflow, with findings surfacing in context and fixes applying automatically in under 30 seconds. This post explores how the Aikido Power works, how to install it, and how organizations across startups, ISVs, and regulated enterprises benefit from continuous security that runs alongside every code change.

AWS has launched the Partner-Led Forward Deployed Engineering (FDE) motion, extending its $1 billion investment in agentic AI deployment to strategic consulting partners. This new capability builds dedicated, AWS-credentialed engineering teams within leading partners to deliver production agentic systems in days, not months, using a reusable delivery harness that compounds expertise with every engagement, ensuring customers achieve real outcomes on real data under real governance.

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.

Explore how to scale content enablement with generative AI. From rapid video localization to automated workflow management, learn practical ways to transform content operations and access resources to accelerate implementation through the AWS AI & Data Knowledge Center.

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.