Andy Jassy

Almost every company we talk to is worried about security right now.

AI has taken the gap between finding a vulnerability and someone using it from weeks down to minutes, leaving teams scrambling to keep up.

That’s why we built AWS Continuum, now generally available.

It works autonomously with guardrails you set to discover vulnerabilities, confirm which ones are genuinely exploitable, prioritize what matters most, and build the patches to close them. Teams spend their energy on real risk instead of chasing noise.

Customers like IBM, Robinhood, Capital One, Infor, and Luminate have been running it in preview and see a meaningful difference in their security efforts.

Continuum gives security teams what they need to keep up with the risks of today, and get ahead of them. Should be a huge help. aws.amazon.com/blogs/aws/aws-…

Trying a new AI chip used to be a lot of work. You often had to rewrite your code, revalidate it, and sink many weeks in, betting this new chip is the right one for your workload.

That cost time and money, and wore on the team. Your best people got buried in plumbing instead of building the thing they came to build.

TorchNeuron is going to largely take that off the table, enabling your existing PyTorch code to run natively on Trainium with one configuration change and no rewrite.

With Trainium’s very appealing price-performance characteristics, TorchNeuron is going to make it even easier for more companies to use AI more cost-effectively. aboutamazon.com/news/innovatio…

Excited about our new Bee devices launching today. They turn your conversations into summaries, to-dos, and reminders, so the details are there when you need them.

Bee Frontier goes on your wrist or clips to your clothing, and Bee Eclipse snaps to the back of your phone to catch what you'd otherwise forget throughout your day, whether it's notes from a class you're taking, the details of a trip you're planning, or an idea that comes to you in the car.

They connect to Alexa+ and Amazon.com, so the things you mention are easy to find later. And you're always in control…one button turns it on or off, a light shows when it's on, audio is never stored, and only you can see your data.

Think folks are gonna find this really handy. aboutamazon.com/news/devices/a…

A painful part of working with your data has always been that your live data and historical data are stuck in separate systems: the order a customer just placed lives in your database, while their last five years of orders sit in a data lake in S3.

And answering a real question usually needs both at once (is this a normal purchase for them, or should we flag it?), and to do that you had to move the data together first, copying history out of the data lake into your database (or the other way around), because the database couldn’t read it where it lived.

That meant guessing ahead of time which data you’d want, keeping a second copy of it all, building pipelines to move it, and constantly syncing so the two didn’t drift apart. A lot of plumbing, and slow going, all before you could answer one question. And even then, the answers were only as fresh as your last sync.

That now changes with Aurora PostgreSQL, which can call your live data and historical data in S3 together, in a single query. No copying, no pipelines to keep in sync.

And it’s fast, because we’ve built in DuckDB, a popular open source engine that’s really good at reading and analyzing data right where it’s stored. DuckDB reads the open formats like Parquet and Iceberg already sitting in your data lake, so there’s nothing to convert or move.

As folks build AI agents into their apps, the data their agent needs will depend on the task in front of it. Being able to query that specific data live, instead of copying it over just in case, is gonna be a big help for builders. aws.amazon.com/blogs/aws/amaz…

Tonight we kick off our fifth season of @NFLonPrime when the Bills host the Lions for the first-ever regular season game at their brand-new Highmark Stadium.

The atmosphere will be electric for one of the most anticipated games of the year, and we'll be presenting an expanded pregame show live and onsite starting at 6:30 p.m. ET.

I’m proud of how our TNF team keeps obsessing over how to make the viewing experience even better, inventing, experimenting, building new analytics and AI insights for fans, always trying to get a little better every game. Lucky to have this amazing team.

Looking forward to getting another TNF season underway tonight. Giddy up!