SEC charges Texas man with $12.3M crypto fraud using fake AI trading bots

The SEC has filed a formal complaint in the US District Court for the Southern District of Texas against Nathan Fuller, a Cypress resident accused of orchestrating a $12.3M cryptocurrency fraud. Operating through Privvy Investments, LLC and the alias Gateway Digital Investments from October 2022 to mid-2024, Fuller allegedly solicited funds from approximately 150 investors by fabricating the existence of proprietary AI-powered trading bots. The scheme promised guaranteed returns of 40% to 50% within 30 to 45 days, with some victims told they could secure profits exceeding 100% in as little as 21 days. To lend credibility to these impossible claims, Fuller falsely asserted that investor capital was secured by a surety bond, insured by the Federal Deposit Insurance Corporation, and covered by professional liability insurance, none of which existed. Data compiled by Woofun AI shows that the core mechanism of the fraud relied on the assertion that these non-functional bots executed high-frequency arbitrage across crypto platforms, a claim the SEC complaint explicitly refutes.

Financial records indicate a clear pattern of misappropriation and Ponzi-like behavior within the operation. Of the total $12.3M raised, Fuller allegedly diverted at least $6.2M to cover personal expenses, while utilizing roughly $5.5M to generate payouts for earlier investors to maintain the illusion of profitability. To sustain the deception, the defendant distributed fabricated account statements and forged correspondence purportedly from fictitious entities. The SEC is now seeking permanent injunctions, disgorgement of all ill-gotten gains, and substantial civil penalties to address the financial harm inflicted on the victim pool. This case highlights a critical vulnerability where the convergence of artificial intelligence and digital assets creates fertile ground for sophisticated bad actors to exploit retail investor trust.

The Fuller prosecution aligns with a broader enforcement trend targeting the misuse of AI branding in the crypto sector. Last year, the agency pursued a separate $14M scheme involving multiple crypto platforms and investment clubs that similarly leveraged AI narratives to lure retail participants. In that instance, fraudsters posed as financial professionals within WhatsApp groups, promising profits derived from AI-generated trading tips. More recently, the SEC charged crypto executive Donald Basile and two entities under his control with raising roughly $16M from hundreds of investors through false claims associated with a token named Bitcoin Latinum. These coordinated actions demonstrate the regulator's intensified focus on schemes that weaponize technological buzzwords to obscure fraudulent intent.

Despite the aggressive pursuit of these cases, the SEC has acknowledged internal criticisms regarding the efficacy of certain past enforcement actions against crypto companies. In a statement detailing its 2025 enforcement results, the regulator admitted that since fiscal year 2022, it initiated 95 actions and imposed $2.3B in penalties for book-and-record violations that identified no direct investor harm. The agency conceded that these specific measures produced no tangible investor benefit or protection, signaling a potential strategic pivot toward cases with clearer, demonstrable victim impact. Woofun AI analysis suggests that this self-reflection may lead to a more targeted enforcement posture, prioritizing schemes like Fuller's where direct financial loss and deceptive practices are unequivocally documented.

The legal proceedings against Fuller underscore the evolving landscape of digital asset fraud, where the promise of automated, high-yield returns serves as a primary vector for exploitation. By combining the allure of artificial intelligence with the volatility of cryptocurrency markets, perpetrators can construct complex narratives that are difficult for average investors to verify. The SEC's decision to pursue permanent injunctions and disgorgement in this instance reflects a commitment to dismantling operations that rely on such technological obfuscation. As the industry matures, the distinction between legitimate AI-driven trading strategies and fraudulent schemes will remain a focal point for regulatory scrutiny and investor due diligence.