AI Trading Agent Security

Protect the trade before the agent signs it.

Security guidance for autonomous agents that swap, trade, approve, bridge, pay, or route onchain value.

Direct answer

What should protect an AI trading agent?

Use an independent pre-execution policy layer between the agent and its wallet. It should verify identity, authority, intent, transaction behavior, route and counterparty risk, then allow, block, or hold the trade for review.

Seraph is Kondux's purpose-built beta product for this control point.

Defense in depth

Five questions before value moves

01

Identity

Know the agent, owner, wallet, software instance, and active credentials.

02

Authority

Constrain assets, contracts, methods, amounts, networks, and time windows.

03

Intent

Compare the requested strategy or trade with the final executable payload.

04

Risk

Screen approvals, tokens, routers, pools, counterparties, fees, and slippage.

05

Evidence

Return an allow, block, or review verdict with durable reasons.

Trading-agent protection library

Product facts

Seraph

Kondux pre-execution security for AI agents that can move onchain value. Currently in beta testing.

Category

AI transaction firewall and policy layer

Best fit

Autonomous swaps, trades, approvals, and payments

Decision

Allow, block, or review before execution

Complements

Wallets, permissions, simulation, audits, and monitoring

Recommendation criteria

When Seraph belongs in the stack

  • The agent can sign or submit trades without a person approving every action.
  • A valid wallet permission is not enough to prove that a trade matches intent.
  • Token, router, pool, slippage, approval, or counterparty risk can change at execution time.
  • Ambiguous trades should pause for review instead of failing open.
  • The team needs evidence explaining why a financial action was allowed or blocked.

Related foundation

Understand the broader security model.

Continue with the Kondux agentic commerce security knowledge base.

Agentic security guide