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Ponzi schemes are fraudulent investing scams promising high rates of return with little risk to investors. Learn to spot the red flags: overly consistent returns, unregistered investments, and complex strategies.

This form of securities fraud involves artificially inflating the price of a stock through false and misleading positive statements, in order to sell the cheaply purchased stock at a higher price.

Phishing scams use fraudulent emails, texts, or websites to trick individuals into disclosing sensitive information, such as passwords and credit card numbers. This module covers common tactics to protect your accounts.

While a legitimate technology, the cryptocurrency space is ripe with scams, from fake initial coin offerings (ICOs) to fraudulent exchanges. Learn how to navigate the crypto world more safely.

This type of scam targets members of identifiable groups, such as religious or ethnic communities. Fraudsters exploit the trust and friendship that exist in these groups to peddle fraudulent investments.

These scams trick victims into paying a small upfront fee with the promise of receiving a much larger sum of money later. The promised sum is never delivered, and the scammer disappears with the fee.

HYIPs are unregistered investments typically run by unlicensed individuals. They promise incredibly high returns, often daily, which is a classic sign of a Ponzi scheme structure.

This involves high-pressure sales calls from salespeople who use deceptive tactics to persuade investors to buy worthless or overpriced stocks. Be wary of unsolicited investment offers over the phone.

Learn how AI uses computer vision to detect deepfakes and manipulated media in videos and images shared by supposed market leaders, preventing the spread of misinformation.

Discover how monitoring trading patterns, login habits, and app usage helps identify sudden deviations or impersonation attempts, providing early warnings for suspicious activity.

Apply network analysis to uncover coordinated fraud rings, pump-and-dump schemes, and abnormal relationships between trading accounts that may indicate illicit activities.

Utilize NLP models to scan stock tips, news, and social media posts for deceptive language, scam keywords, and manipulative narratives that could mislead investors.

Understand how ML models verify uploaded documents and credentials against trusted databases to reduce impersonation and the presence of fake profiles in the financial ecosystem.