AWS Partner Network (APN) Blog

Category: Partner solutions

Vody Featured Image

Building intelligent data foundations: The Grubhub and Vody partnership on AWS

Grubhub and Vody are proving that the winners of AI-powered commerce won’t be defined by a single breakthrough feature, they’ll be the retailers who invest early in unified, AI-ready data foundations built on AWS. By modernizing catalog, content, and behavioral data across 400,000+ merchants, they delivered initial model results in just 6–10 weeks and demonstrated measurable improvements in search relevance, conversion, and customer experience, offering a blueprint for retailers preparing to lead the next wave of AI innovation.

Securing the AI development lifecycle with Aikido and Kiro

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.

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Enhance DNS protection with Palo Alto Networks on Amazon Route 53 DNS Firewall

Amazon Route 53 Resolver DNS Firewall now integrates Palo Alto Networks Advanced DNS Security, bringing more than 30 advanced DNS threat detections including fast flux, DNS hijacking, domain generation algorithms, and newly registered domains—directly into your DNS Firewall rules. Available from the DNS Firewall console under the Advanced rule tier, it activates in about two minutes with no additional infrastructure to deploy or manage. In this post, you’ll learn how the integration works, the threat coverage it adds, and how to extend protection across accounts, VPCs, and hybrid environments at scale.

Ascending Featured Image

How ASCENDING’s Jarvis Registry bridges agents and developer tools

You’ve deployed your agents on Amazon Bedrock AgentCore but making them reachable from Claude Desktop, VS Code, Cursor, or GitHub Copilot means building an “experience layer” that handles identity, authorization, discovery, and developer UX. In this post, ASCENDING shares how they turned that recurring integration work into the Jarvis Registry, an open source experience layer that runs inside your AWS environment and connects agents to every IDE and copilot. See how one customer uses it to serve both business users and engineers from the same set of agents, with department-scoped access enforced across every tool.

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Accelerating software development with OpenAI ChatGPT Codex on Amazon Bedrock

As enterprises race to ship features faster and reduce technical debt, AI-assisted development has moved from experimental to essential with Gartner predicting 75% of enterprise engineers will use AI code assistants by 2028. OpenAI ChatGPT Codex on Amazon Bedrock brings frontier agentic coding capabilities to AWS customers, enabling developers to offload complex, multistep coding tasks while maintaining the security, governance, and operational controls that enterprise environments demand. Learn how ChatGPT Codex goes beyond simple code completion to reason across entire repositories, generate tests and documentation, and accelerate delivery all through a fully managed, serverless API with zero operator access and pay-per-token pricing.

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Orca just-in-time access & AWS IAM Identity Center solve permission sprawl

Learn how Orca Security’s Just-in-Time (JIT) integration with AWS IAM Identity Center helps organizations address permission sprawl by replacing persistent access with time-bound, approval-based permissions that automatically revoke when the time window expires. This post explores how the integration works and what it means for security and engineering teams operating at scale.

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How InterWiz reduced AI costs by 90% with Amazon Bedrock

When AI infrastructure costs consumed 40% of per-interview revenue, InterWiz knew their single-provider architecture couldn’t support profitable growth. By partnering with AWS Advanced Tier Services Partner Emumba to migrate from Azure OpenAI to Amazon Bedrock, InterWiz reduced AI costs by 90%, improved response times by 55%, and maintained 99.9% uptime, all with zero service disruption. Learn how a multi-model architecture on Amazon Bedrock transformed InterWiz’s cost-to-revenue ratio and created lasting competitive advantage.

Reimagining legacy applications with Pega and AWS through AI-driven approach

The AI-Driven App Modernization Platform from Pega and AWS enables enterprises to incrementally transform legacy applications from mainframes to monolithic applications into intelligent, cloud-native workflows using AI-powered discovery, low-code design, and the strangler fig pattern, cutting modernization timelines from years to months without disrupting critical business operations.

Designing enterprise AI agents with DevRev guardrails powered by Amazon Nova

DevRev built real-time AI guardrails into its enterprise agent system, powered by Amazon Nova 2 Lite through Amazon Bedrock. The guardrail layer evaluates every user input against default and custom policies in 247ms average latency without degrading the conversational experience. This post explores how DevRev delivers high support ticket automation and cost reduction while keeping content on-policy and safety controls firm.

Forward Deployed Engineering for Partners Featured Image

Introducing Forward Deployed Engineering for Partners: Winning the Future of Enterprise AI

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.