What’s New in Cybersecurity This Week: Projects, Videos, Articles & Podcasts I’m Following – 7/28/25

Welcome to my weekly cybersecurity roundup! Here, I share updates on the projects I’m currently working on, along with the most insightful cybersecurity videos I watched, articles I found valuable, and podcasts I tuned into this week.

Featured Analysis

Featured article analysis: Tea’s data breach shows why you should be wary of new apps — especially in the AI era

This data breach highlights the inherent risks associated with entrusting sensitive personal information to new applications, particularly in an increasingly AI-driven digital landscape. The breach exposed approximately 72,000 images, including selfies and driver’s licenses, as well as over 1.1 million private direct messages containing intimate conversations. This incident serves as a stark reminder that user data, even when presumed private, can be easily exposed to a global audience with technical acumen. Despite the widespread reporting of the breach, the Tea app remarkably maintained a high ranking in app store charts, underscoring a prevailing user willingness to share sensitive data despite known security vulnerabilities.

Cybersecurity experts interviewed in the article emphasize that the risks of data exposure are amplified in the “AI era.” This heightened risk stems from several factors, including users’ growing comfort with sharing personal information with AI chatbots, which has already led to accidental public disclosures of private exchanges. Furthermore, the rise of “vibe coding”—the use of generative AI to write and refine code—introduces new security concerns. While enabling faster development, experts worry that vibe coding could lead to less secure applications as developers prioritize speed and potentially overlook robust security measures.

Ultimately, the Tea app breach serves as a critical cautionary tale, urging consumers to exercise extreme vigilance when engaging with new apps. Regardless of whether applications are developed with AI assistance or traditional methods, the core message from cybersecurity professionals is to always consider the worst-case scenario when sharing personal data. With the accelerated development of applications and adversaries increasingly leveraging AI for new attack vectors, users should anticipate a rise in data breaches and adopt a more proactive approach to safeguarding their digital privacy.

Projects

  • TryHackMe – Web Application Basics – Complete
  • TryHackMe – JavaScript Essentials – In Progress

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