SEC charges Texas man with $12.3M fraud over nonexistent 'AI trading bots'
Nathan Fuller (Cypress, Texas) · May 28, 2026 · Trading agent
What happened
The U.S. SEC charged Nathan Fuller with raising approximately $12.3 million from about 150 investors by claiming he would deploy proprietary AI-based trading bots for high-frequency crypto arbitrage, promising returns up to 100%. The SEC alleges the bots and their performance were misrepresented and investor funds were instead diverted. The action is part of a run of SEC 'AI-washing' enforcement cases targeting fabricated AI trading technology.
Causal vector
Fabricated AI trading technology used to raise funds — investors' money routed away from the promised agent strategy
Source
Reported by InvestmentNews (SEC action). Verified against the primary report.
Fraudulent 'AI trading' schemes exploit the same trust gap a spend firewall closes: the operator cannot verify what the agent actually does. A deterministic policy gate with a real audit trail — per-transaction caps, merchant allowlists, and approval thresholds — separates a real agent from a claim about one.
The six rule types that contain this class of failure
Per-transaction cap
Any single spend above your ceiling is BLOCKED before it moves.
Daily total
Cumulative spend across all agent calls, bounded per day.
Velocity limit
Stops runaway retry loops — the #1 cause of overnight losses.
Merchant allowlist
Only approved destinations can ever receive funds.
Category rules
Flag high-risk classes (crypto, infra, refunds) for review.
Approval threshold
Above a value, the action waits for a human.
Related incidents
SEC charges fake 'AI trading signals' platform with taking $12.5M from 300+ investors
Cryptoaiml Ltd. and Cryptoaiml Capital Foundation (S.D.N.Y., No. 1:26-cv-08508) · Sep 29, 2026
Claude Opus co-authors a malicious npm commit that compromises a crypto trading agent
crypto trading agent operator (npm dependency victim) · Apr 29, 2026
Washington regulators allege a $10M 'AI trading' scheme drained investors via messaging-app clubs
Zenith Asset Tech Foundation, Cirkor Inc. et al. · Apr 22, 2026
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Every incident in this database is the result of trusting a prompt, a provider cap, or a human review cycle. sipi.bot replaces all three with one deterministic call. 115 documented failures, one control.