There is a serious flaw with facial recognition systems that use what’s called anthropometry: the measurement of facial features from images.
Linux has managed to build a reputation around being one of the most secure operating systems available today. But too many people tend to take its built-in security for granted.
Open-source software isn’t a completely chaotic and breached wasteland of vulnerabilities. It’s a global effort to make the development lifecycle faster.
SaaS and PaaS have become part of the everyday tech lexicon since emerging as delivery models, shifting how enterprises purchase and implement technology. A new “_” as a service model is aspiring to become just as widely adopted based on its potential to drive business outcomes with unmatched efficiency: Artificial intelligence as a service (AIaaS). The emergence of AIaaS will play a critical role in AI adoption.
AI isn’t going to replace us, but it will make it easier to deliver services that keep people safe.
Machine learning has been trotted out as a trend to watch for many years now. But there’s good reason to talk about it in the context of 2020. And that’s thanks to developments like TensorFlow.js: an end-to-end open source machine learning library that is capable of, among other features, running pre-trained AI directly in a web browser. Learn how true web machine learning is expected to foster AI creativity in an interesting The Next Web article:
So much of the discussion about cybersecurity's relationship with artificial intelligence and machine learning (AI/ML) revolves around how AI and ML can improve security product functionality. However, that is actually only one dimension of a much broader collision between cybersecurity and AI. Learn about the new risks and threats posed by increased use of artificial intelligence:
This was the year when, once and for all, it became clear that the future of technology belongs to Linux and open-source software. Get the details in an interesting ZDNet article:
Did you know that Linux is the least targeted OS by malicious ads, accounting for only 0.3% of all malicious ads recorded in a recent study? Most malvertising campaigns (malicious ads) target Windows users,according to statisticsshared last week by cyber-security firm Devcon.Chrome OS is the second most targeted, while Linux is the least. Learn more:
Everything about IT has changed, but our security measures are still built around how we used to design software and systems. Where does security need to catch up with digital transformation - and how? Learn more:
Placing the fundamental building blocks of AI in the hands of the open source community is advancing AI in multiple industries. Learn more:
Social engineering is the art of exploiting human psychology, rather than technical hacking techniques, to gain access to buildings, systems or data. Learn how to spot the signs in a great CSO article:
This article explores the invention of Lisp and the rise of thinking computers powered by open-source software:
Does your company utilize AI or ML? Artificial intelligence and machine learning bring new vulnerabilities along with their benefits. Learn how several companies have minimized their risk in this informative CSO article:
Are you interested in learning about how zero trust and conditional access policies are reshaping cybersecurity? Get the details in this article.
Like all thinks, there are both benefits and risks associated with AI, quantum computing and 5G. Law enforcement needs to be innovative and act now in order to keep face with near future criminal threats, warns 'Do criminals dream of electric sheep' paper.
The proliferation of malicious packages in repositories for software developers that rely on typosquatting points to a problem: A reliance on flat namespaces.
How do you feel about AI? AI will have major implications for cyber security and for the workforce in general. Continuous education, transferable skills and a receptivity to learning more ensure that workers will remain adaptive, flexible, and resilient in an increasingly AI-driven future.
Blockchain expert Rosa Shores agrees: Unless you have a data integrity problem, blockchain won't fix it. Try a distributed ledger instead. What are your thoughts on this? Comment below.
Many people fear that AI-powered hacking would aid criminals in carrying out dangerous and costly cyberattacks. However, threat actors appear to be doing just fine without it. What is your opinion on this? Is AI-powered hacking a legitimate concern or are these fears misplaced? Comment below.
Like staying secure? So do we.
Sign up for updates, tips, and alerts!
