Introduction Artificial intelligence (AI) offers immense potential to benefit humanity, but it also presents opportunities for malicious actors to exploit these technologies for harmful purposes. As AI becomes more integrated into various aspects of our lives, understanding and mitigating these threats is crucial. This article delves into the current landscape
In 2018, Google vowed never to develop AI for weapons or surveillance. OpenAI pledged its technology would “benefit all humanity,” not warfare. Fast forward to 2025: both companies have erased these red lines, quietly rewriting their ethical policies to pursue military contracts. Meanwhile, the Pentagon and intelligence agencies openly admit
Apple has discontinued advanced encryption features for iCloud backups in the United Kingdom following reported pressure from British authorities under updated surveillance laws, marking a significant development in the ongoing debate over privacy versus national security. This move comes as governments globally push for expanded access to encrypted communications under
Encrypted messaging apps like Signal have become critical tools for journalists, activists, military personnel, and privacy-conscious users worldwide. However, Google's Threat Intelligence Group has revealed that Russian-aligned hacking collectives UNC5792 and UNC4221 have weaponized Signal's device-linking feature, turning its core privacy functionality into an espionage vulnerability.
With over 3 billion monthly active users, Facebook remains a prime target for cyberattacks, data harvesting, and privacy breaches. This technical guide explores Facebook’s 2025 security architecture, offering actionable strategies to protect profiles, data, and business assets. The Complete Guide to Social Media Privacy: Protecting Your Digital Life in
With over 2.7 billion users globally, WhatsApp remains a critical platform for personal and business communication. However, its expansive feature set demands robust privacy configurations to safeguard data. This guide dissects WhatsApp’s 2025 privacy architecture, offering actionable strategies to secure messages, media, and business interactions. The Complete Guide
With over 2 billion active users, Instagram remains a cornerstone of social interaction, content creation, and business marketing. However, its expansive ecosystem demands robust privacy controls to protect user data and content. This guide explores Instagram’s privacy architecture, offering actionable insights for optimizing account security across personal and professional
Meta’s Threads has rapidly evolved into a hub for real-time conversations, but its deep integration with Instagram and Meta’s broader ecosystem demands careful privacy configuration. This guide breaks down Threads’ 2025 privacy architecture, offering actionable steps to control data sharing, content visibility, and cross-platform interactions. The Complete Guide
With over 1 billion users, LinkedIn is a cornerstone for professional networking and job seeking. However, its expansive ecosystem demands meticulous privacy controls to protect sensitive career data. This guide dissects LinkedIn’s 2025 privacy architecture, offering actionable strategies to secure profiles, manage content visibility, and comply with global data
With over 1 billion active users, Telegram balances social connectivity with robust privacy tools. This guide explores Telegram’s 2025 security architecture, offering actionable strategies for users under 25 to safeguard chats, groups, and channels. The Complete Guide to Social Media Privacy: Protecting Your Digital Life in 2025Introduction In today’
X (formerly Twitter) remains a critical platform for real-time communication, but its evolving features demand robust security configurations. This guide explores X’s 2025 security tools, offering actionable strategies to safeguard accounts, control content visibility, and comply with privacy regulations. The Complete Guide to Social Media Privacy: Protecting Your Digital
With over 430 million active users, Reddit remains a hub for niche communities and candid discussions. However, its public nature demands robust privacy configurations to protect anonymity and data. This guide explores Reddit’s 2025 privacy tools, offering actionable strategies for users under 25 to safeguard accounts, content, and communities.
With over 200 million active users, Discord remains a hub for gaming, professional communities, and social interaction. However, its decentralized server model demands robust privacy and security configurations. This guide explores Discord’s 2025 tools, offering actionable strategies to protect servers, personal data, and community interactions. The Complete Guide to
With over 140 million monthly active users, Twitch remains a hub for live streaming and community interaction. However, its open nature demands robust privacy configurations to protect creators and viewers. This guide dissects Twitch’s 2025 privacy tools, offering actionable strategies to secure streams, manage channels, and safeguard viewer data.
With over 2.7 billion monthly active users, YouTube remains a cornerstone of digital content consumption. However, its vast ecosystem demands meticulous privacy configuration to protect creators, viewers, and minors. This guide explores YouTube’s 2025 privacy tools, offering actionable strategies to secure channels, viewing habits, and compliance with global
Snapchat’s ephemeral messaging model and location-based features demand robust safety protocols to balance user engagement with privacy. This guide dissects Snapchat’s architecture, offering actionable strategies to secure accounts, mitigate risks, and leverage advanced tools for personal and parental control. Snapchat’s Privacy Concerns and CSAM Issues Since 2010Introduction
With over 1.7 billion active users, TikTok’s blend of viral content and algorithmic curation demands robust privacy tools to protect users across age groups. This guide dissects TikTok’s 2025 privacy architecture, offering actionable strategies for optimizing account security, content controls, and family safety features. TikTok Privacy and
Introduction In today's interconnected world, social media platforms have become integral to our daily lives, serving as spaces for personal expression, professional networking, and community building. However, this digital connectivity comes with significant privacy implications. This comprehensive guide explores the current state of social media privacy and provides
Artificial Intelligence (AI) poses risks of considerable concern to academics, auditors, policymakers, AI companies, and the public. An AI Risk Repository serves as a common frame of reference, comprising a database of 777 risks extracted from 43 taxonomies. This database can be filtered based on two overarching taxonomies. The AI
Overview DeepSeek, an AI-powered platform, has come under investigation across multiple European Union countries due to concerns over data privacy, potential GDPR violations, and AI-based data processing risks. Several regulatory bodies have launched formal probes or requested information to assess whether DeepSeek's operations comply with European data protection
US Defense Department employees accessed a Chinese AI startup's chatbot for two days before cybersecurity officials blocked the service, raising questions about foreign technology vulnerabilities in sensitive government networks1. The incident occurred despite growing concerns about Chinese tech companies' data practices and potential intelligence risks. Incident Timeline
WhatsApp, the popular messaging platform owned by Meta, has successfully thwarted a hacking campaign that targeted approximately 90 users, including journalists and members of civil society[1][2]. The company has linked this campaign to Paragon, an Israeli spyware firm that was recently acquired by the American private equity giant
In a significant shift in content moderation policies, Meta, the parent company of Facebook, Instagram, and other social media platforms, has announced major changes to its approach to managing online discourse. This move, spearheaded by CEO Mark Zuckerberg, marks a departure from the company's previous reliance on third-party
Introduction Alibaba's latest AI model, Qwen2.5-Max, is making waves in the artificial intelligence landscape with its impressive benchmark results. Trained on over 20 trillion tokens, the model has demonstrated superior performance across various AI benchmarks, challenging established models such as DeepSeek-V3, Llama 3, GPT-4o, and Claude 3.