HOW DO SCAMMERS KNOW EVERYTHING?

Artificial intelligence itself does not decide who to target. These decisions are made by individuals or organizations leveraging AI technology for their purposes. Here’s how it works: 1. Who Is Behind It? Scammers and Cybercriminals: Use AI to execute mass or targeted attacks aimed at stealing money, data, or influence. Political and Propaganda Organizations: Create synthetic identities or deepfakes to manipulate public opinion or discredit opponents. Corporate Malefactors: Employ AI for industrial espionage, imitating competitors, or generating fake clients. 2. How Are Victims Selected? a) Mass Targeting (Bulk Targeting): How it works: Attackers aim at a large group of users, hoping a fraction will fall for the scam. Examples: Mass phishing emails pretending to be from a "bank," where attackers don’t know the victims personally. Creating synthetic profiles that send friend requests to thousands of users on social media. b) Targeted Attacks: How it works: Personal information about the victim is used to make the attack appear more convincing. Sources of information: Social Media: Posts, photos, comments, likes. Data Breaches: Email addresses, phone numbers, data from hacked databases. Public Sources: Biographies on corporate websites, interviews. Examples: Creating a deepfake of a colleague to fraudulently request money. A synthetic persona building trust for fraudulent purposes. 3. The Role of AI in Target Selection AI helps automate and optimize the victim selection process: Data Collection: AI scans public social media profiles to identify suitable targets, such as vulnerable groups like lonely individuals (for romance scams) or business owners (for fraudulent deals). Personalization: AI can automatically generate messages tailored to specific individuals based on their data. Example: "Hello Alex, you ordered a laptop yesterday, but we encountered a payment issue." Probability Analysis: Using algorithms, AI can assess the likelihood of success with specific targets. 4. Examples of AI-Driven Attacks Romantic Scams: A synthetic persona engages in prolonged conversations to gain the victim’s trust. Fake Business Proposals: A deepfake of a "company director" requests employees to transfer money to a fraudulent account. Social Manipulation: Fake accounts comment on posts or send messages to influence the victim’s opinion. 5. Who Is Most Vulnerable to These Attacks? Social Media Users: The more information you share, the easier it is for scammers to use it against you. Business Owners and Company Employees: Especially those with publicly available contact details and job titles. Technologically Unaware Users: Those who don’t know how to recognize threats like phishing emails or suspicious requests. By understanding these methods, you can better protect yourself from becoming a victim of AI-driven scams.