2026-01-26 · Authensor

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:

{
  "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

Try SafeClaw

Action-level gating for AI agents. Set it up in your browser in 60 seconds.

$ npx @authensor/safeclaw