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How Gen Digital built Norton Revamp’s AI-curated News Engine with Amazon Bedrock AgentCore Web Search

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How Gen Digital built Norton Revamp’s AI-curated News Engine with Amazon Bedrock AgentCore Web Search

Your professional reputation now lives online first. Recruiters check LinkedIn before returning a call. Clients review your digital presence before booking a first meeting. For ambitious professionals, that shift is an opportunity: a well-crafted online voice can open doors that a résumé alone never could.

But standing out takes more than content generation. It takes real-time awareness of what’s happening right now. A professional building a reputation as a generative AI thought leader needs to react to today’s breakthroughs, not last week’s headlines. And with feeds flooded by AI-generated noise, audiences reward authenticity and timeliness more than ever.

Web Search on Amazon Bedrock AgentCore made that possible. We built Norton Revamp, a generative AI-powered professional reputation management platform. At its heart is an AI-curated News Engine, powered by AgentCore Web Search, that grounds every content suggestion, goal recommendation, and news feed item in current, cited web knowledge. The platform launched in March 2026, built by a small group of engineers.

In this post, we show you how the Gen team builds an AI-curated News Engine in Norton Revamp with Amazon Bedrock AgentCore Web Search to help customers turn ideas into engaging social media posts.

Unlike chatbots that rely on static knowledge bases, Norton Revamp needs to understand what’s trending right now in each user’s professional domain. A cyber security expert needs today’s threat intelligence. A marketing leader needs this week’s industry shifts. Traditional approaches (custom web crawlers, third-party news APIs, static content databases) each carry trade-offs: infrastructure overhead, stale data, vendor complexity, or data egress risk.


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