Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As open source software development continues to evolve, so does its susceptibility to cybersecurity threats. One such instance is the recent discovery of malware repositories on GitHub. In this cybersecurity attack, threat actors managed to upload malicious code onto GitHub, a platform that hosts millions of code repositories and is used by developers worldwide.

Nearly one third of all data breaches are caused by insiders. While you might immediately think of malicious insiders, like disgruntled or departing employees, insider risk can take numerous forms, including: From these examples alone, it’s easy to see just how prevalent insider risk really is. Whether it’s intentional or unintentional, insider risks often have the same consequences as external risks, including data leaks, data loss, noncompliance, and more.

Do not forget, AI-enabled technologies, like KnowBe4’s Artificial Intelligence Defense Agents (AIDA), will make defenses increasingly better. I get asked a lot to comment on AI, usually from people who wonder, or are even a bit scared, about how AI can be used to hurt them and others. It is certainly a top topic everyone in the cybersecurity world is wondering about. One of the key questions I get is: How much worse will AI make cybercrime? The quick answer is: No one knows.

As cybercriminals leverage tools like generative AI, making attacks easier to execute and with a higher degree of success, phishing attacks continues to increase in frequency. I’ve been covering the cybercrime economy’s use of AI since it started. I’ve pointed out the simple misuse of ChatGPT when it launched, the creation of AI-based cybercrime platforms like FraudGPT, and how today’s cybercriminal can basically create foolproof malicious content.

While the rise of ChatGPT and other AI chatbots has been hailed as a business game-changer, it is increasingly being seen as a critical security issue. Previously, we outlined the challenges created by ChatGPT and other forms of AI. In this blog post, we look at the growing threat from AI-associated cyber-attacks and discuss new guidance from the National Institute of Standards and Technology (NIST).

Imagine a site engineer visiting a construction site to inspect the progress of the project. Using his mobile device, the engineer captures images of specific areas that require attention, noting aspects like structural details, design modification, or areas that need immediate review and action. The engineer uploads the images into the project folder on Egnyte and shares it with the architect for quick feedback on the changes to be made.

In a testament to the power of global collaboration, Device Authority recently witnessed the convergence of its US and UK teams in two distinct yet complementary gatherings. Amy Chu, VP Customer Success, chronicles the enriching experiences of the US team’s face-to-face summit, while Darren Cubbage, Engineering Manager, provides insights into the unity and inspiration emanating from the 2024 UK Company Get-Together.

In the ever-evolving landscape of cybersecurity, the collaborative effort between the National Security Agency (NSA) and the Cybersecurity and Infrastructure Security Agency (CISA) in issuing five joint Cybersecurity Information Sheets (CSIs) marks a significant milestone in guiding organizations towards secure cloud adoption. These documents serve as a testament to the critical nature of securing cloud services in an era where digital transformation is not just an option, but a necessity.

The EU AI Act (the “AI Act”) is the world’s first comprehensive AI law. The Act lays down a harmonised legal framework for the development, supply, and use of AI products and services in the EU.