https://editaria.com/tags/cybersecurity/Recent content in Cybersecurity on EditariaHugo -- gohugo.ioen-usThu, 12 Mar 2026 16:50:09 +0000https://editaria.com/2026/03/ai-powered-scams-cost-americans-16.6-billion-annually/Thu, 12 Mar 2026 16:50:09 +0000https://editaria.com/2026/03/ai-powered-scams-cost-americans-16.6-billion-annually/What Happened At the Aspen Institute’s Crosscurrent summit on AI and national security in San Francisco, Todd Hemmen, a deputy assistant director in the FBI’s Cyber Division’s Cyber Capabilities branch, revealed how North Korean operatives are exploiting AI technology for elaborate employment fraud schemes. These criminals use AI-generated face overlays to successfully pass remote job interviews at Western technology companies. Once hired, the operatives work multiple remote positions simultaneously, sending both salaries and any intelligence they gather back to North Korea.https://editaria.com/2026/02/buffer-overflow-attacks-how-text-can-hijack-your-computer/Sat, 28 Feb 2026 15:16:26 +0000https://editaria.com/2026/02/buffer-overflow-attacks-how-text-can-hijack-your-computer/What Happened A user on Reddit’s ELI5 (Explain Like I’m Five) forum asked a question that touches on one of cybersecurity’s most enduring problems: how buffer overflow attacks work and why they’re so dangerous. The question specifically addressed the gap between understanding that these attacks involve sending too much data to a program and comprehending how this leads to system compromise. Buffer overflow attacks remain one of the most common and effective methods cybercriminals use to gain unauthorized access to computer systems.https://editaria.com/2026/02/why-captchas-still-use-object-recognition-despite-ai-advances/Thu, 26 Feb 2026 23:33:27 +0000https://editaria.com/2026/02/why-captchas-still-use-object-recognition-despite-ai-advances/What Happened A Reddit user posed a fundamental question about CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) technology that many internet users have wondered about: why these security systems continue using object recognition challenges when machine learning has already mastered image identification tasks. The question reflects growing awareness that AI systems like those powering self-driving cars, Google Photos, and smartphone cameras can easily identify everyday objects with superhuman accuracy.