Tag: data

AI & ML – Highlights Google I/O (Connect) – Miami

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On May 24th, 2023, the inaugural edition of Google I/O Connect took place in Miami, USA. Google introduced this conference as an extension to engage directly with the technical community.

Note: Image courtesy of @KarolRojas90

The concept behind Google I/O Connect was to host distributed events in four different locations worldwide.

In Miami, the focus was bringing together Google Developer Experts (GDE) from North America (Canada and USA) and LATAM. Additionally, community leaders from GDG (Google Developers Groups) and Women Tech Makers, as well as contributors and collaborators, were allowed to participate. The event welcomed over 2,000 attendees and featured 51 outstanding speakers, who were Googlers responsible for delivering technical talks, workshops, and Office Hours.

Note: Image courtesy of @jcrtejada05

The event stood out for its impeccable organization, seamless execution, and strong commitment to ensuring that speakers and attendees had a remarkable experience.

What’s New in…

Without a doubt, they were the four verticals of the event:

Mobile
Web
clouds
AI

There were incredible advances that made us as developers excited to implement them into our products, but without a doubt, the one we most eagerly awaited was the __AI Lineup__.

Google AI’s Ubiquitous Influence: Reshaping Products Everywhere

Since 2017, Google has held a dominant position in artificial intelligence and modeling, particularly with NLP (Natural Language Processing). NLP is crucial in various applications, including machine translation, sentiment analysis, chatbots, and speech recognition.

However, history took an unforeseen turn with the monumental emergence of OpenAI and the project ChatGPT and the groundbreaking development of Stable Diffusion for generating images. These advancements have undeniably propelled these technologies into the public’s eyes.

Even though these concepts have already been worked on for some years, it is essential to understand the difference between AI and ML because in this same event, both in Keynote I/O and in Connect, they talk about advances in both.

Note: Sundar’s Image by The Verge – https://nsrc.io/TikTokVergeAI

AI is a powerful tool that can be used to improve the user experience, make products more efficient, and create new possibilities. Google is committed to using AI to make its products and services better for everyone. That’s why they announced integration into these products directly and more:

Android Studio Hedgehog: Android Studio Hedgehog uses AI to improve the development process for Android apps. For example, it can automatically generate code, suggest code changes, and identify potential bugs. This can help developers save time and create better apps.

Play Store: The Google Play Store uses AI to recommend apps and games to users based on their interests and past purchases. It also uses AI to surface new apps and games that users might be interested in. This can help users find the best apps and games for their needs.

Photos: Google Photos uses AI to organize, search, and edit photos. For example, it can automatically identify faces in photos and create collages and albums. It can also automatically improve the quality of photos. This can help users easily find and enjoy their photos.

Workspace: Google Workspace uses AI to improve the user experience for various tasks, such as writing emails, creating spreadsheets, and giving presentations. For example, it can suggest words while typing, automatically generate summaries of meetings, and translate documents into other languages. This can help users be more productive and efficient.

Maps: Google Maps uses AI to provide users with directions, traffic information, and other helpful information. For example, it can automatically suggest routes based on the user’s past driving habits and can provide real-time traffic updates. This can help users get around more easily and efficiently.

✨Generative AI

The main thing in all AI ads and product integrations comes from Generative AI, which, as its name says, is an artificial intelligence that can generate new content independently.

Check the Youtube Video HERE

Through Generative AI Studio, you can test and better understand the concept of Generative AI. A console tool for rapidly prototyping and testing generative AI models. You can test sample prompts, design your prompts, and customize foundation models to handle tasks that meet your application’s needs.

In Generative AI Studio, you can:

Test sample prompts.
Design your prompts.
Customize foundation models.
Convert between speech and text.

Try it HERE!

✨PaLM 2

PaLM 2, is a large language model (LLM) AI. It is a successor to PaLM, trained on a larger dataset and with a more robust architecture. This makes PaLM 2 better at a variety of tasks, including:

Natural language understanding: PaLM 2 can better understand the nuances of human language, such as idioms, sarcasm, and metaphors.
Generating text: PaLM 2 can generate more creative and realistic text, such as poems, stories, and code.
Answering questions: PaLM 2 can answer more complex and challenging questions, even if they are open-ended or strange.
Reasoning: PaLM 2 can better understand and reason about the world by making inferences and drawing conclusions.

PaLM 2 can implement Personal assistants, Educational tools, or Creative tools. But PaLM 2 is a series of models that includes the following:

Gecko, Otter, Bison, and Unicorn are four versions of PaLM 2, or Pathways Language Model 2. They differ in size, performance, and intended use cases.

Gecko is the smallest version of PaLM 2, with 1.2 billion parameters. It is designed to be lightweight and efficient, making it suitable for mobile devices and other resource-constrained environments.
Otter is a mid-sized version of PaLM 2, with 137 billion parameters. It balances size and performance well, making it suitable for various applications.
Bison is a large version of PaLM 2, with 540 billion parameters. It is the most potent version of PaLM 2, and it is designed for demanding tasks such as natural language understanding, generating text, and answering questions.
Unicorn is the giant version of PaLM 2, with 1.5 trillion parameters. It is still under development but is expected to be the most powerful LLM ever created.

Which version of PaLM 2 is correct for you depends on your specific needs. Gecko is a good choice if you are looking for a lightweight and efficient model for mobile devices. If you are looking for a model that is a good balance between size and performance, Otter is a good choice. Bison is a good choice if you are looking for a powerful model for demanding tasks. Unicorn is a good choice if you are looking for the most powerful LLM ever created.

But soon, Google will be in the release of a more sophisticated model called Gemini; What is coming is unimaginable if we count that in this project, the researchers from Google Brain and Google DeepMind come together.

At the moment, you can join the MakerSuite waitlist to experiment with the PaLM 2 API: https://makersuite.google.com/waitlist and read the API documentation: https://developers.generativeai.google /tutorials/setup

✨Bard – AI-Chatbot (http://bard.google.com) + 🎨 Bard + Adobe Firefly

Bard an impressive AI chatbot meticulously crafted by Google. As a sophisticated conversational AI, Bard is a large language model designed to be informative and comprehensive. Trained on an immense corpus of text data, Bard can communicate and generate human-like responses across various prompts and inquiries. Whether you seek factual summaries or immersive storytelling, Bard is primed to deliver. Bard is still under development but Is learning new things every day.

Adobe Firefly is a remarkable generative AI, harnessing the power to bring visual concepts to life based on textual descriptions. When paired with Bard, the possibilities for creativity and expression become boundless. This tool can create everything from marketing materials to personal projects. For example, you could use Bard to generate a text description of a product and then use Adobe Firefly to create an image of that product. Or, you could use Bard to generate a poem and then use Adobe Firefly to create an image representing the poem. The possibilities are endless.

Note: Please note that Bard + Adobe Firefly are still in beta, so there may be some bugs or limitations. Check the review of this amazing tool, HERE

As a delightful bonus, thanks to Bard, leveraging generated content between Gmail and Google Docs becomes effortless. Additionally, Colab’s growing relevance makes it an ideal platform for code-centric projects, ensuring enhanced productivity and collaboration.

Here are some of the benefits of these new developer features in Bard:

More precise code citations can help to build a more collaborative and respectful community of developers.
Exporting to Replit can make it easier for developers to collaborate on code and share their work with others.
A dark theme can make reading easier in low-light conditions and reduce eye strain.
Integration with various Google apps and services can make it easier for users to get things done.
Connection with external services and partners can offer users various possibilities.
Generative AI capabilities can help users to create unique visuals and automate data classification.

Vertex AI

Vertex AI is a managed machine learning (ML) platform that helps you build, deploy, and scale ML models faster and easier. It provides a unified experience for managing all aspects of the ML lifecycle, from data preparation to model training and deployment. Vertex AI also includes various tools and services that can help you improve the performance and accuracy of your ML models. It is built on the Google Cloud Platform and integrates with a wide variety of open-source ML frameworks, including TensorFlow, PyTorch, and scikit-learn. This integration allows you to use the tools and libraries you already know.
Try it here: https://cloud.google.com/vertex-ai/.

Project Tailwind

Project Tailwind is a new initiative focused on developing ways to use large language models (LLMs) to create more engaging and informative user experiences. One of the critical goals of Project Tailwind is to make it easier for developers to use LLMs in their applications. To do this, Project Tailwind is developing several tools and resources, including:

A new LLM framework is designed to be easy to use and scale to large datasets.
A new API that allows developers to interact with LLMs more naturally.
A new set of tools that help developers to debug and optimize their LLM applications.

Project Tailwind is an experimental project that still needs a public URL or GitHub repo. However, you can sign up for the waitlist to be notified when it becomes available. The waitlist is available here: https://tailwind.withgoogle.com/.

MediaPipe

Google’s partnership with MediaPipe is a significant step forward in the development of ML solutions. By providing modular and customizable solutions.

Project Gameface is an excellent example of the potential of ML. This project uses facial landmark detection to create a virtual avatar that can be used to play games. This is just one example of how ML can be used to improve our lives.

If you are looking to develop an ML application, check out MediaPipe.
You can use Mediapipe for Face detection, Hand tracking, or Object detection.

TensorFlow Overview: What’s New?

Here are some of the new features and improvements that were announced:

KerasCV and KerasNLP: These new APIs make building and training state-of-the-art models for computer vision and natural language processing tasks easier.

DTensor: This new library does training and scaling large models on distributed hardware easier.

JAX2TF: This new tool makes it easier to port models written with the JAX numerical library to TensorFlow.

TF Quantization API: This new API makes making TensorFlow models more efficient and cost-effective easier.

Web ML Hub: This new web-based platform makes building and deploying machine learning models in the browser easy.

To begin your exploration, visit https://ai.google/build/machine-learning/ and immerse yourself in a wealth of invaluable resources. This platform serves as your gateway to learning, providing a comprehensive collection of tools and insights that will empower you to apply machine learning to your projects.

Whether you are a beginner or an experienced practitioner, the knowledge and expertise shared on this platform will guide you through every step of your journey. Gain a deeper understanding of the underlying principles, familiarize yourself with cutting-edge tools, and access practical examples that showcase the technology in action.

Google I/O Connect

The Google I/O Connect event in Miami was a great success. It was a great opportunity to learn about the latest Google technologies, and it was also a chance to meet some of the leading experts in the field.

One of the event’s highlights was the chance to meet Dale Markowitz, a renowned figure in artificial intelligence. Markowitz is a Senior Research Scientist at Google AI and one of the leading experts on natural language processing. She was very generous with her time and happy to answer the attendees’ questions.

Google I/O Connect event allowed me to:

Learn about the latest Google technologies
Meet leading experts in the field
Get your questions answered by Google experts
Network with other developers
Get inspired and motivated to build great things

If you are a developer, I highly recommend attending a Google I/O Connect event. It is a great way to learn, grow, and connect with other developers. You can find upcoming events on the Google Developers events page or explore Google I/O Extended events near you to connect with the community.

Related Articles:

Google I/O 2023: Making AI more helpful for Everyone by Sundar – nsrc.io/45SJOqm
Google I/O Program, Codelabs, Workshops: https://io.google/2023/program/
Techcrunch – Google I/O 2023 is a wrap — here’s a list of everything announced – nsrc.io/43TA3Xr
Google I/O 2023 Highlights: Unveiling Google’s Latest Innovations and Improvements – https://nsrc.io/3WWF9zD
The Verge – Google I/O 2023: all the news from Google’s big developer event – nsrc.io/3MWHiqz
BusinessPost – 15 Exciting Highlights from Google I/O 2023 – nsrc.io/3NhF2eW

Garbage collector experiments

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#​628 — March 3, 2023

Read on the Web

JavaScript Weekly

Sandworm Audit: A New JS Auditing Tool — A command-line tool to scan a project and dependencies for vulnerabilities, license issues, and related problems. You get JSON reports, visualizations of dependency trees, and a CSV of all dependencies and license information.

Sandworm

Experiments with the JavaScript Garbage Collector — A look at the prevalence of elusive memory leaks and how understanding the garbage collector’s decision-making process can help avoid them. Sheds light on some scenarios related to GC behavior across five examples.

Alexey Lebedev

The Fastest JavaScript Data Grid Component — A solid JS data grid is essential in all business apps. Bryntum’s powerful Grid component lets you sort, group and filter datasets with great performance. Includes a TreeGrid, API docs and demos. Seamless integration with React, Angular & Vue apps.

Bryntum sponsor

‘You Don’t Need a Build Step’ — You need to remember the Deno folks have an alternative JS runtime to promote, but they always make great points. A build step has helped with getting things to run in the browser or to transpile and bundle code elsewhere. But with modern tooling, do we still need a build step? Andy lays out the problem and explains how, unsurprisingly, Deno and Fresh work around it.

Andy Jiang (Deno)

Announcing TypeScript 5.0 RC — Barring any critical bug fixes, this is as good as done. The headline feature in 5.0 is likely to be decorators and Daniel does a rather extensive job of showing them off here. Other tweaks include being able to add const modifiers to type parameter declarations, supporting multiple config files in extends, and all enums are now union enums.

Daniel Rosenwasser

The 2023 JavaScript Site Generator Review — Zach puts Astro, Eleventy, Enhance, Gatsby, Next.js, Nuxt, Remix and SvelteKit through their paces, focusing on quantitative factors like build time, the amount of JavaScript code needed at runtime, and the presence (or not) of telemetry.

Zach Leatherman

IN BRIEF:

Node.js Toolbox is a new site bringing together data-driven comparisons of Node packages in various categories.

The React Flow project shared how it ‘gets paid fairly’ for open source.

You can now add pronouns to your GitHub profile.

RETRO VIBES: Using JavaScript to recreate ANSI art from a screenshot.

James Q Quick floats some ideas for JavaScript trends in 2023.

RELEASES:

Deno 1.31 – Now with package.json support.

Preact 10.13 – Fast 3KB React alternative.

zx 7.2 – JS shell scripting approach.

Papa Parse 5.4 – Fast in-browser CSV parser.

???? Articles & Tutorials

Crawling Weather Forecasts with Cypress — Even if you don’t care for the weather, this is a neat code-led demonstration of using the Cypress browser oriented testing tool for performing a variety of productive activities.

Gleb Bahmutov PhD

????  The JavaScript Era Happened Because ‘We Were Fed a Line’ — If you want a spicy (literally) opinion piece, this is your fill for this week. Jared rails against the ebb and flow of things that are considered outdated/bad or not (e.g. HTML-first was in, then out, then in). Unsurprisingly, it provoked an extensive discussion on Hacker News.

Jared White opinion

Need to Upgrade to Node 18? Don’t Have Time? Our Experts Can Help ???? — Stuck in dependency hell? We’ve been there. Hire our team of experts to upgrade dependencies, gradually paying off tech debt.

UpgradeJS.com: JavaScript Upgrade Services sponsor

Using Sourcegraph to Discover Non-NPM JS Projects — “If you want to discover package.json files for JavaScript projects that are not NPM libraries, how would you do it?” An interesting walkthrough one approach using the Sourcegraph platform.

StackAid

Building an Animated SVG Logo with Anime.js — Anime.js is a JS animation library that works with CSS properties, SVG, DOM attributes and JS objects.

Jozef Maxted

Bootstrap Your React Journey with Tic-Tac-Toe — It’s easy to forget that not a day goes by that somebody is taking their first steps on their journey to learn React. Here’s a recently updated way to start, direct from the source.

React Docs

▶  A Deep Dive into the Node.js Event Loop

Tyler Hawkins

What is ref() in Vue?

Dmitri Pavlutin

???? Code & Tools

Text Highlighter: Highlight Search Results in Textareas — Responsively highlight search results within a textarea element without interfering with its operation. There’s a live demo.

Walter Staeblein

Civet: It’s Like CoffeeScript.. for TypeScript! — I’ve gotta admit, I like this. This example alone shows off the power. In a world where build toolchains are the norm, maybe this could take off, but my CoffeeScript experiences of yesteryear restrain me from going ‘all in’ on something like this for now.

Daniel X Moore and contributors

✈️ Get Your Tests Flying with Wallaby.js — Turbocharge your productivity with the 15x faster test runner. Spend more time coding, less time waiting.

Wallaby.js sponsor

Remult: A CRUD Framework for Full-Stack TypeScript — Promises a ‘zero-boilerplate’ CRUD API experience by using your TypeScript entities as a single source of truth for your API, frontend type-safe API client and backend ORM. There are tutorials for using it alongside React, Angular, Vue and Next.js.

Remult Team

React Flow: Create Node-Based UIs — The example on the homepage shows off this powerful React component well.

Webkid GmbH

ts-reset: A ‘CSS Reset’ for TypeScript — CSS isn’t involved but much like a reset stylesheet flattens out browser quirks and differences, ts-reset aims to ‘smooth off’ some hard edges of TypeScript.

Total TypeScript

Full Stack Monitoring Made Affordable

TelemetryHub sponsor

Lenis: A Smooth Scroll Library — Boasts a number of extra features compared to similar libraries that allow you to do scroll animations, parallax, etc. You can try it out here.

Studio Freight Darkroom

iDraw.js: A Web Vector Graphics Drawing Framework — One motivation for this high level abstraction appears to be to power Web-based graphics editing tools like this. – GitHub repo.

idrawjs Team

eta (η) 2.0.1
↳ Embedded template engine for Node, Deno & browser.

pnpm 7.28
↳ Alternative, efficient package manager.

???? Jobs

Full Stack JavaScript Engineer @ Emerging Cybersecurity Startup — Small team/big results. Fun + flexible + always interesting. Come build our award-winning, all-in-one cybersecurity platform.

Defendify

Software Engineer (Frontend) — Join our “kick ass” team. Our software team operates from 17 countries and we’re always looking for more exceptional engineers.

Sticker Mule

Find JavaScript Jobs with Hired — Hired makes job hunting easy-instead of chasing recruiters, companies approach you with salary details up front. Create a free profile now.

Hired

????‍???? Got a job listing to share? Here’s how.

???? Experimental Projects..

Ezno: A (Now Open Source) Experimental JS Compiler — We first mentioned Ezno (explained here) last year but this week it has been open-sourced. It’s a parser, partial-executor, optimizer and type checker for JavaScript written in Rust and it continues to get better in 2023.

Ben X

Dak: A Lisp-Like Language That Transpiles to JS — “I had an itch to make a lisp like language that was a thin layer on top JavaScript. … It’s brittle, hot off the oven.” We appreciate such honesty. There’s a playground and a language tour if you want to check it out.

Naitik Shah

SBOM: The Essential Building Block for Cybersecurity

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Software Bill of Materials (SBOMs) is how companies provide a comprehensive inventory of all the components, libraries, and dependencies used in a software system. This information helps organizations identify potential vulnerabilities and manage the risk of software supply chain attacks.

SBOM is a detailed list of all the components, libraries, and dependencies that make up a software system. It includes information such as the names and versions of the components, their sources, and any associated risks or vulnerabilities.

Just as a supply chain document in manufacturing and product development outlines the origin and journey of raw materials and components, a software bill of materials (SBOM) does the same for software components.

SBOM Adoption via Executive Order from the EEUU

On May 12, 2021, President Joe Biden released the Executive Order (EO) on Improving the Nation’s Cybersecurity with a specific requirement for SBOMs. Read here the executive order.

SBOM includes information on their origin, version, and security risk. Just as manufacturers rely on supply chain documentation to ensure the quality and safety of their products, organizations can use SBOMs to manage software supply chain risks and ensure the security and compliance of their software systems. In both cases, having accurate and up-to-date information is critical to making informed decisions and avoiding potential harm.

Since December 2022, in its v4.9.0, N|Solid has SBOM support (Software Bill of Materials).

N|Solid has added support for SBOM reporting in all applications connected to the N|Solid console; the report is offered in two formats: JSON and PDF; it contains the information for the dependency inventory of a specific application; it includes valuable information like licensing and the security status for each dependency used.

Start using SBOM in all applications connected to the N|Solid console START NOW

The role of SBOM:

The Linux Foundation released the results of a survey: The State of Software Bill of Materials (SBOM) and Cybersecurity Readiness, carried out within the framework of the US presidential order on SBOM, where 412 organizations worldwide participated in a survey. Here is the infographic with the highlights.

With the ever-increasing use of third-party components in software development, having an accurate and up-to-date SBOM is essential for ensuring the security and integrity of a company’s software systems; an organization can use SBOMs for many purposes. Some of them are:

Allow organizations visibility and control over their software supply chain, enabling them to make informed decisions about software security, compliance, and licensing.

Companies can proactively manage software risk, improve their cybersecurity posture, and protect their customers and critical data.

Comply with industry standards and regulations. This refers to the process of ensuring that an organization is using software in accordance with its license agreements. This includes ensuring that the software is being used within the terms of the license agreement and that the organization uses only the licenses it has purchased.

Compliance and customer Audit. Ensure that it meets the specified quality criteria. This may include testing, inspections, and reviews to identify any issues or defects and make sure that the product or service meets the customer’s requirements and the high standards of quality that the industry expects.

Despite the clear benefits of SBOMs, the use of SBOMs has traditionally been limited to more than just the largest and most advanced organizations. However, the increasing threat of software supply chain attacks and the growing recognition of the importance of SBOMs are expected to drive the widespread adoption of SBOMs in the near future.

The United States Executive Order on the Nation’s Cybersecurity outlines new requirements for SBOMs and other security measures for software used by federal agencies. This order highlights the importance of SBOMs in ensuring the security of software systems and demonstrates the growing recognition of their value in the industry.

Implementing SBOM in Your Organization

Companies are increasingly aware of their risks by needing to be clearer about their technologies, especially in the open-source ecosystem. according to the Linux Foundation survey, what are the key activities for securing the software supply chain? These answers serve as a basis for understanding the importance of this concept in the ecosystem.

Understanding the process of implementing an SBOM in your organization, from assessing your current software landscape to integrating the SBOM with your existing security and compliance tools, will help you to effectively manage software supply chain risks and ensure the security and compliance of your software systems.

Assessment: The first step is to assess the organization’s current software landscape and identify which software systems and components need to be included in the SBOM.

Inventory: Once the software systems and components have been identified, the next step is to create an inventory of all the components and their attributes, such as name, version, source, and any associated risks or vulnerabilities.

Automation: To ensure the SBOM is accurate and up-to-date, consider automating the SBOM creation process through tools or scripts that can extract information from source code and dependencies.

Integration: The SBOM should be integrated with the organization’s existing security and compliance tools, such as security assessment and license compliance tools, to ensure that the information contained in the SBOM can be effectively utilized.

Monitoring: Regular monitoring of the SBOM should be implemented to ensure that it remains up-to-date and that any changes or updates to software components are accurately reflected in the SBOM.

Review: The SBOM should be regularly reviewed to identify potential security risks or vulnerabilities and ensure compliance with industry standards and regulations.

Training: Finally, provide training to all relevant personnel, including developers and security teams, to ensure that the SBOM is being used effectively and that everyone understands the importance of keeping the SBOM up-to-date.

By following this path, organizations can effectively implement an SBOM and use it to manage software supply chain risks, improve their overall cybersecurity posture, and ensure compliance with industry standards and regulations.

Securing Your Software Supply Chain with N|Solid

N|Solid is a runtime, and a console for managing Node.js applications, providing a secure and reliable runtime environment for Node.js applications developed and distributed by NodeSource. N|Solid includes a range of features to help organizations, including security and performance monitoring, real-time visibility into applications, and the ability to identify and resolve issues quickly.

N|Solid Console has a dedicated section for __NodeSource Certified Modules__. (NCM) are a set of open-source npm packages vetted and certified by NodeSource, a company specializing in Node.js solutions. The certification process involves thorough security, quality, and compatibility testing to ensure that these modules meet high standards for security and performance.

By using NodeSource Certified Modules, organizations can be confident that they are using high-quality, secure, and reliable components in their Node.js applications. In addition, NodeSource provides ongoing maintenance and support for these modules, ensuring that they continue to work effectively and securely over time. By using NodeSource Certified Modules, organizations can simplify the process of selecting and using npm packages in their Node.js applications, helping to ensure that their applications are secure, reliable, and performing optimally for their users.

_NCM enables you to quickly and easily generate SBOMs that:
_

Identify all open-source libraries.
Track and document each component, including direct and transitive dependencies.
Update automatically when components change.
Identify vulnerabilities.
Provide a path to remediation that ensures updates are backward compatible and won’t break the build.

Illustrative Example of Software Life Cycle and Bill of Materials Assembly Line

According to the SBOM document, to stay compliant, the data fields that must be in an SBOM are:

Component name
Component version
Unique identifier for the software
Relationship with other dependencies
Developer name
Name of tool used to create the SBOM document
Document creation date and time

N|Solid complies with the National Institute of Standards and Technology (NIST) laying out the guidelines for an SBOM document.

Conclusion:

SBOMs are an important tool in the fight against software supply chain attacks. Organizations can better track and manage their software components and identify potential risks by incorporating them into the software development process. In addition, SBOMs provide valuable insights into the supply chain history of a product, helping to ensure that all components are sourced from reputable and trustworthy sources.

As a company, ensuring the security of the code and systems you use and create is important. That’s why it is truly important:

To ensure the security of open-source components in your supply chain, it is crucial to track their licenses, vulnerabilities, and associated risks.
To avoid coding security defects and weaknesses, it is important to know common attack methods such as buffer overflows, SQL injection, and cross-site scripting. Vulnerabilities can be difficult to identify, as someone often plants malicious code with in-depth knowledge of the system.
To secure your development and delivery infrastructure, it is recommended to conduct a binary analysis of the container images to inspect component signatures and identify any open-source components and sensitive data present.
To ensure the security of APIs and protocols used for communication with other systems, a lack of visibility and control can put critical systems and sensitive information at risk.

However, implementing SBOMs effectively can be a complex and time-consuming process, and organizations need to choose the right tools and processes to ensure the accuracy and relevance of their SBOMs. We are sure that N|Solid can help! 💪

If you are interested in more information about the supply chain and its associated risks, please contact us at [email protected] or on Twitter @nodesource.
To get the best out of Node.js, try N|Solid SaaS #KnowYourNode