SEC charges $12M 'AI crypto trading bot' as a Ponzi scheme
Nathan Fuller · Nov 1, 2025 · Trading agent
What happened
The SEC sued Nathan Fuller in Texas federal court, alleging he raised over $12 million from ~150 investors by falsely promoting an AI crypto trading bot that was in fact a Ponzi scheme. The case illustrates how 'AI agent' claims are used to perpetrate financial fraud.
Causal vector
Fraudulent 'AI agent' marketing concealing a Ponzi scheme
Source
Reported by Law360. Verified against the primary report.
For investors evaluating any 'autonomous trading agent', verifiable per-transaction caps, an audit log, and a human-approval threshold are the due-diligence checklist. Their absence is the red flag.
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
AI trading bot misreads tweet, sends $441K of tokens to a stranger
anonymous (OpenAI employee side project) · Oct 1, 2025
Clawdbot trading agent reportedly loses $1,000,000
Clawdbot (open-source project) · Oct 1, 2025
Don't be the next entry
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. 27 documented failures, one control.