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Home » Why Users Should Be Cautious With Pre-Built, Open Source Apps
Data Modernization Minute

Why Users Should Be Cautious With Pre-Built, Open Source Apps

Pablo MorenoBy Pablo MorenoSeptember 16, 20222 Mins Read
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In Episode 24 of Data Revolution Minute, Pablo considers how pre-built applications that are free and open can also contain malicious code. He challenges whether or not open source is truly secure.

This episode of Data Revolution Minute is sponsored by Community Summit North America, the largest independent gathering of the Microsoft Business Applications ecosystem taking place October 10-13 at the Gaylord Palms in Orlando, Florida. With 500+ Dynamics 365 & Power Platform sessions and more than 300 speakers, this event is a must-attend for Microsoft customers. Visit summitna.com for more details.

Highlights

00:15 — This episode is sponsored by Community Summit North America, which will take place October 10-13 in Orlando, Florida.

00:45 — There has been some recent noise around the platform Hugging Face, as its portal has been found to contain malicious code. Hugging Face is an open-source public hub that enables users to develop machine learning and AI applications.

01:38 — Transforming is an artificial intelligence (AI) algorithm that’s capable of processing natural language processing (NLP) at a large scale.

01:56 — Because this platform is open source, it opens up the potential for malicious development to occur within it. On Hugging Face, there is a model that, when users download their NLP projects, will open a website and claim there’s ransomware on users’ machines.

02:35 — This raises the question of whether or not open source is secure. Because these pre-built applications are open and free, there can be anything there — including malicious code.


Artificial Intelligence Data Revolution Machine Learning natural language processing NLP Open-Source Software
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Pablo Moreno
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Business Data Scientist and Project Manager (Waterfall & Agile) with experience in Business Intelligence, Robotics Process Automation, Artificial Intelligence, Advanced Analytics and Machine Learning in multiple business fields, gained within global business environment over the last 20 years. University Professor of ML and AI, International speaker and Author. Active supporter of Open-Source software development. Looking to grow with the next challenge.

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