Amazon GuardDuty simplifies enforcement of threat detection across all accounts in an Organization

Amazon GuardDuty has added new functionality to its integration with AWS Organizations to make it even simpler to enforce threat detection across all accounts in an organization. Since April 2020, GuardDuty customers can leverage its integrations with AWS Organizations to manage GuardDuty for up to 5,000 AWS accounts, as well as automatically apply threat detection coverage to new accounts added to the organization. In some case, this could still result in coverage gaps, for example, if GuardDuty was not applied to all existing accounts, or if it was unintentionally suspended in individual accounts. Now with a few steps in the GuardDuty console, or one API call, delegated administrators can enforce GuardDuty threat detection coverage for their organization by automatically applying the service to all existing and new accounts, as well as automatically identifying and remediating potential coverage drift. To learn more, see the Amazon GuardDuty account management User Guide.

GDE Women’s History Month Feature: Jigyasa Grover, Machine Learning

Posted by Kevin Hernandez, Developer Relations Community Manager

For Women’s History Month, we are celebrating Jigyasa Grover, ML GDE.

Photo of Jigyasa Grover, holding a cup of coffee, smiling
Jigyasa Grover, ML GDE, Senior ML Engineer, Twitter

Jigyasa Grover is a 10x award winner in AI and open source, a published book author in machine learning, and was most recently named one of the 50 most powerful women in technology to follow for 2023. Jigyasa has always been inspired by technology – with her father being a computer scientist for the government of India and playing with a toy laptop as a child. Google has also played an integral role in her career by providing resources and community every step of the way: from early in her university days through Google Summer of Code to today, where she is a Senior ML Engineer at Twitter and leverages the Women Techmakers and Google Developer Experts programs to connect with other developers and pay it forward through programs like Google Code-In.

Getting involved in the developer community

Things started rolling for Jigyasa in her first year at university when she discovered Pharo at the library, where she spent a lot of her time. As she started to dive deeper into Pharo, she read more and more about the open source community and eventually started reaching out to members of the community online. This led her to discover Google Summer of Code, an open source internship, where she was selected to participate as one of the youngest developers. After a successful stint in the program, Jigyasa was invited to participate again the following year, which proved to be a pivotal moment in her academic career. Up to this point, Jigyasa was working primarily on mobile and web app development. “The second year, the project that I was working on was more focused on building web scrapers, machine learning, NLP chatbots, and so on. That was my introduction to the world of machine learning which got me intrigued”, Jigyasa says. After this experience she started taking more courses related to machine learning, watched talks, worked on more machine learning projects, and interned at the National Research Council of Canada and then the Institute Research and Development in France. These experiences helped shape her career vision and she knew that machine learning would be her field of expertise.

Finding community through Google

Up until college, Jigyasa had always gone to all-girls schools so when she first got to engineering school, it was an eye-opening experience for her. She reflects, “I felt like a minority coming from a place where I was surrounded by girls all the time. That’s when I started Googling different organizations and found organizations like Women Who Code, Women Techmakers, and Google Developer Groups.” These organizations exposed her to mentorship, resources, and events, and more. One such event was Google I/O, where she was invited to attend online. Many developer events reminded her of the lack of women’s representation in the developer community. This inspired her to commit to the saying, “be the change you want to see in the world.” Jigyasa would go on to pursue speaking opportunities at tech events and inspire other women developers with her passion and support.

After university, Jigyasa discovered the GDE program and the strong community the program offers. Jigyasa adds, “I think one of the most meaningful parts of the program is the community. I like how different Google programs cater to different kinds of audiences. For example, when I became a GDE, I was a part of the wider developer community but also connected with developers in my field of expertise – machine learning.” Jigyasa appreciates being able to interact with people in her field and is motivated by being surrounded by like-minded people. She has even been a guest on another GDE’s YouTube channel and was also given a chance to connect with Laurence Moroney, Lead AI Advocate at Google, who wrote the foreword for her book. Jigyasa credits Google developer programs for developing her career and expertise, “All of these programs have brought me great opportunities. Summer of Code, Google Developers Groups, Women Techmakers, and now GDE. All these programs have been so important in my journey and I’m forever grateful to them.”

Inspiration and advice

As an award winner and influencer in technology, Jigyasa is a role model for other women and is committed to helping women developers in their careers. She says, “It has definitely been a journey. From being involved in these communities, giving talks in numerous countries and cities. It’s just been a domino effect.” In addition to speaking events, Jigyasa has published content, mentored through Google programs and has even designed curriculums at local colleges in the Bay Area.

Jigyasa urges other women developers to pursue opportunities for development and connection. Jigyasa has accomplished a lot in her career by reaching out to her communities and by saying yes to challenging opportunities. She is committed to supporting more women in their developer journey and driving representation in the field of machine learning.

You can find Jigyasa on LinkedIn, Twitter, or her personal site.

The Google Developer Experts (GDE) program is a global network of highly experienced technology experts, influencers, and thought leaders who actively support developers, companies, and tech communities by speaking at events and publishing content.

AWS Copilot adds support for full customization with AWS CDK or YAML overrides

Today, AWS released new version 1.27 of AWS Copilot that enables customers to fully customize AWS Cloud Formation templates, which AWS Copilot uses to provision the service, environment, pipeline, and job resources. Customers can now use AWS Cloud Development Kit (CDK) or YAML patches to change any property of those AWS resources. AWS Copilot is a command-line interface (CLI) that makes it easier for customers to build, deploy, and operate containerized applications on AWS by providing common application architecture and infrastructure patterns, user-friendly operational workflows, and configuring deployment pipelines.

Bottlerocket adds support for FireLens

Bottlerocket, a Linux-based operating system that is purpose built to host container workloads, now supports FireLens. Customers using Bottlerocket with Amazon Elastic Container Services (Amazon ECS) can now benefit from a simpler way to collect logs from Bottlerocket nodes.

NICE DCV releases version 2023.0 with support for Red Hat Enterprise Linux 9

NICE DCV version 2023.0 introduces multiple enhancements and features, such as support for Red Hat Enterprise Linux 9 and monitor selection for a full-screen remote session on Linux and macOS clients. NICE DCV is a high-performance remote display protocol that is designed to help customers securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance GPUs.

Amazon Connect now provides step-by-step guides in agent workspace

Amazon Connect agent workspace now provides programmatic step-by-step guidance that agents can use to identify customer issues and then recommends which actions to take to resolve them. Using Flows, the Amazon Connect no-code/low-code drag-and-drop design interface, you can design a guide that presents what the agent should review or do at a given moment during a customer interaction. This guidance helps decrease the time it takes to train new agents and helps all agents become more productive.

Amazon Chime SDK launches call analytics

Amazon Chime SDK now offers real-time call analytics to help businesses extract insights from voice conversations. Machine learning (ML) powers call insights include speaker search and voice tone analysis. Customers can gain additional ML-powered intelligence such as turn-by-turn transcripts, customer and agent sentiment, through integrations with Amazon Transcribe and Amazon Transcribe Call Analytics. These insights can be consumed in real-time and after completion of a call, by accessing a data lake, and they can be visualized using tools such as Amazon QuickSight. Additionally, businesses can record voice conversations to the S3 bucket of their choice.

AWS MGN now supports inventory import and export, server status dashboard, and new modernization actions

AWS Application Migration Service (AWS MGN) now supports new migration and modernization features, including import/export of source environment inventory lists, a server migration status dashboard, and new application modernization actions. Application Migration Service helps minimize manual processes by automating the conversion of your source servers to run natively on AWS with optional modernization features.

Amazon Chime SDK now supports Amazon Lex chatbots

Today we are launching the Amazon Chime SDK integration with Amazon Lex for chatbots, enabling builders to develop persistent conversational chat interfaces using a simplified architecture. The Amazon Chime SDK lets developers add real-time audio, video, screen-sharing, and chat capabilities to their web or mobile applications. Amazon Lex provides automatic speech recognition and natural language understanding technologies so you can build conversational interfaces.