Safety Controls for AI Trading and Financial Agents
AI trading and financial agents operate in an environment where a single unauthorized action can cause immediate, irreversible monetary loss — a rogue trade, an unauthorized fund transfer, or an unapproved API call to a payment gateway can cost millions before a human notices. SafeClaw by Authensor provides the safety controls financial agents demand: order-level gating with position limits, per-action deny-by-default policies, rate limiting with hard dollar caps, and tamper-proof audit trails that satisfy regulatory requirements. Install with npx @authensor/safeclaw to enforce trading safety boundaries.
The Financial Agent Threat Model
Financial agents interact with real money through APIs. The risk matrix is uniquely severe:
| Action | Risk | Reversibility |
|--------|------|---------------|
| Market order | Immediate execution at market price | Irreversible |
| Fund transfer | Money leaves account | Often irreversible |
| API key exposure | Full account access | Requires key rotation |
| Position sizing error | Massive unexpected exposure | Costly to unwind |
| Data leak (PII, account info) | Regulatory violation | Irreversible |
┌──────────────────────────────────────────┐
│ AI Trading Agent │
│ │
│ analyze_market ──▶ Low risk (read-only) │
│ place_order ──────▶ HIGH RISK │
│ cancel_order ─────▶ Medium risk │
│ transfer_funds ───▶ CRITICAL RISK │
│ modify_position ──▶ HIGH RISK │
│ │
│ SafeClaw gates every action with │
│ financial-specific limits │
└──────────────────────────────────────────┘
SafeClaw Policy for Trading Agents
# safeclaw-trading-agent.yaml
version: "1.0"
agent: trading-agent
rules:
# === MARKET DATA (read-only, always allowed) ===
- action: api_call
endpoint: "/market-data/*"
method: "GET"
decision: allow
- action: api_call
endpoint: "/portfolio/*"
method: "GET"
decision: allow
# === ORDER PLACEMENT ===
- action: place_order
order_type: "limit"
max_quantity: 100
max_notional_value: 10000 # $10,000 per order
decision: allow
- action: place_order
order_type: "market"
max_quantity: 50
max_notional_value: 5000 # Lower limit for market orders
decision: allow
- action: place_order
decision: deny # Blocks any order exceeding limits
# === ORDER CANCELLATION ===
- action: cancel_order
decision: allow # Cancellation is risk-reducing
# === FUND TRANSFERS ===
- action: transfer_funds
decision: deny # Never allow autonomous fund transfers
# === POSITION MANAGEMENT ===
- action: modify_position
decision: require_approval # Human must approve
# === NETWORK (API access) ===
- action: network_request
host: "api.exchange.com"
decision: allow
- action: network_request
host: "api.broker.com"
decision: allow
- action: network_request
decision: deny # No other network access
# === FILE SYSTEM ===
- action: file_write
path: "logs/**"
decision: allow
- action: file_write
decision: deny
- action: file_read
path: "config/strategy/**"
decision: allow
- action: file_read
path: "*/.env"
decision: deny
- action: file_read
decision: deny
Financial-Specific Safety Limits
Beyond action-level gating, trading agents need aggregate limits:
financial_limits:
max_daily_volume: 100000 # $100K total daily trading volume
max_open_positions: 10 # Maximum concurrent positions
max_loss_per_session: 5000 # Stop-loss: halt after $5K loss
max_orders_per_minute: 5 # Rate limiting
max_orders_per_day: 100 # Daily order cap
allowed_instruments:
- "AAPL"
- "MSFT"
- "GOOG"
- "SPY"
on_limit_exceeded: halt_and_alert
When the agent hits max_loss_per_session, SafeClaw immediately halts all trading actions and alerts the operator. The agent can still execute read-only market data queries, but all order placement is blocked.
Circuit Breaker Pattern
Implement a circuit breaker that trips under abnormal conditions:
circuit_breaker:
conditions:
- consecutive_losses: 3 # 3 losing trades in a row
- loss_rate_5min: 0.8 # 80% of trades losing in 5-min window
- order_rejection_rate: 0.5 # Exchange rejecting 50%+ of orders
action: halt_trading
cooldown: "30m"
resume: require_human_approval
Regulatory Audit Compliance
Financial regulators (SEC, FINRA, FCA, MAS) require complete audit trails for automated trading. SafeClaw's hash-chained audit log provides:
- Every order attempt with timestamp, instrument, quantity, price, and decision
- Every denied action with the policy rule that blocked it
- Cryptographic chain integrity preventing post-hoc log manipulation
- Exportable format compatible with regulatory reporting tools
{
"timestamp": "2026-02-13T14:30:01.123Z",
"action": "place_order",
"instrument": "AAPL",
"order_type": "market",
"quantity": 500,
"estimated_notional": 87500,
"decision": "deny",
"reason": "max_notional_value exceeded (5000)",
"entry_hash": "sha256:..."
}
SafeClaw is MIT-licensed with 446 tests, works with Claude and OpenAI, and provides the safety infrastructure financial agents require without proprietary licensing overhead.
Cross-References
- AI Agent Cost Management
- Tamper-Proof Audit Trail
- Fintech Agent Safety Industry Guide
- Human-in-the-Loop Gating
Try SafeClaw
Action-level gating for AI agents. Set it up in your browser in 60 seconds.
$ npx @authensor/safeclaw