Tech Fluent

Discusses recent revelations about Chinese state‑sponsored hacking targeting high‑profile figures’ smartphones—due to insufficient app-level protections and user inattention apnews.com . Offers expert-level advice on secure mobile configurations, MDM, encryption, and multi-factor authentication (MFA). Cybersecurity investigators noticed a highly unusual software crash — it was affecting a small number of smartphones belonging to people who worked in government, politics, tech and journalism. The crashes, which began late last year and carried into 2025, were the tipoff to a sophisticated cyberattack that may have allowed hackers to infiltrate a phone without a single click from the user. The attackers left no clues about their identities, but investigators at the cybersecurity firm iVerify noticed that the victims all had something in common: They worked in fields of interest to China’s government and had been  targeted by Chinese hackers  in the past. Foreign hackers have in...

 Explores the biggest dangers of the year: AI‑powered attacks, deepfakes, ransomware‑as‑a‑service, supply‑chain exploits, quantum‑based decryption risks, zero‑day vulnerabilities, IoT weaknesses, 5G exposure, cloud misconfiguration, and human error. Includes mitigation strategies based on sources from Forbes, Crisis24, and Menatrade “In 2025, every organization will face a major cyber breach,” declared Nimrod Kozlovski, founder and CEO of Cytactic, a cyber crisis management and readiness platform, while hosting a special Cyber Crisis Management Forum, "From Chaos to Control," earlier this month at the iconic Yale Club in New York City. Top 5 Cyber Threats of 2025 The central message for 2025 was clear: cyber incidents are inevitable, and resilience paired with strategic preparation is crucial. Accordingly, the forum outlined the top five threats that organizations must address to navigate an increasingly unpredictable digital landscape: Global Conflicts, Business Casualties...

 AI’s rise in content creation is reshaping media. Generative models like GPT‑4o enable writers to scale output, refine tone, and prototype ideas—but risks remain in bias, attribution, and over-reliance on machine-generated text. Generative AI models like GPT-4o and DALL-E 3 are reshaping digital content creation, offering industries tools to generate diverse and sophisticated text and images with remarkable creativity and efficiency. This paper examines both the capabilities and challenges of these models within creative workflows. While they deliver high performance in generating content with creativity, diversity, and technical precision, they also raise significant ethical concerns. Our study addresses two key research questions: (a) how these models perform in terms of creativity, diversity, accuracy, and computational efficiency, and (b) the ethical risks they present, particularly concerning bias, authenticity, and potential misuse. Through a structured series of experiments...