AWS Partner Network (APN) Blog

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.

Learn how to close the detection-to-response gap in your security operations by integrating Amazon Security Lake, Splunk Enterprise Security, and Recorded Future Autonomous Threat Operations into a unified SOC architecture that centralizes dispersed security data, automates event correlation, and accelerates threat mitigation through intelligence-driven response. This post walks through a phased implementation approach that transforms your security posture from reactive alert triage to proactive threat hunting.

Agentic AI represents the third major platform shift in enterprise software, transforming how SaaS is built, priced, distributed, and consumed by a hybrid workforce of humans and autonomous agents. Learn how ISVs can capture this growth opportunity by building on Amazon Bedrock AgentCore for production-ready agentic deployments, making their capabilities discoverable through open protocols such as MCP and using AWS Marketplace for outcome-based pricing models that capture the measurable value agents create.

New agentic capabilities in AWS Partner Central support you at every stage of your selling journey—from identifying the right leads to getting real-time insights and support on every deal you share with AWS. Learn how to build a stronger pipeline, accelerate deal progression, and get real-time qualification on every opportunity.

We’re expanding agentic capabilities in AWS Partner Central that get you ready to sell in days—from automated profile setup and AWS Marketplace listing creation to streamlined Foundational Technical Review validation. Now you can now unlock badging, benefits, and funding faster.

We’re announcing the Amazon Connect Customer Competency, helping customers find validated Partners who can migrate legacy contact centers and build AI-powered customer experiences on Amazon Connect. Benefits include $50K in Marketing Development Funds, AWS Migration Acceleration Program funding, and dedicated co-selling support to accelerate customer transformations.

Customers are shifting toward outcome-based engagements—and they’re willing to pay a premium for Partners who can prove results. We’re introducing the Business Value Realization (BVR) motion, which provides Services Partners with funding, enablement resources, and specialized support to lead post-sales customer success.

Open-weight large language models are being released by research institutions worldwide, but turning published weights into production inference services remains a challenge—especially under strict data residency requirements. This post shows how Public AI built a scalable inference platform on Amazon EKS and Intel-powered Amazon EC2 instances to serve Switzerland’s Apertus model family, and why this architecture provides a repeatable blueprint for sovereign LLM initiatives.