Validating AI Checkout Agents Before Execution

Third-party AI agents now complete purchases on retailer sites, and retailers deploy their own agents to handle orders, returns, and refunds. Prompt injection hidden in product pages, reviews, or messages can redirect these agents to change orders or trigger fraudulent refunds. PointGuard AI validates every agent action against policy and intent before it executes and enforces per-tool authorization on commerce systems.

Agent-driven commerce creates new paths for transaction fraud.

• Injected content in reviews or messages can redirect agents.
• Refund and order-change tools are easy targets for abuse.
• Agents act faster than fraud teams can review.
• Existing fraud rules were not built for agent behavior.

Agent Mission Control and MCP Security Gateway validate agent actions and authorize commerce tool calls.

1. Define each agent's mission. Register permitted actions, order value limits, and refund rules for every commerce agent.

2. Authorize every tool call. Enforce per-agent, per-tool, per-operation access to cart, order, payment, and refund systems.

3. Validate intent before execution. Check each proposed action against policy, intent, and trust score at sub-millisecond latency, and hold high-risk refunds for review.

4. Monitor and contain. Track agent behavior over time and restrict or pause agents that show fraud patterns.

• OWASP Top 10 for LLMs: LLM01 Prompt Injection and LLM06 Excessive Agency, covering injected instructions and agents acting beyond their intended authority.
• OWASP Top 10 for Agentic Applications: ASI01 Agent Goal Hijack, ASI02 Tool Misuse and Exploitation, and ASI10 Rogue Agents, addressing hijacked agents, misused commerce tools, and rogue behavior.
• NIST AI RMF: MAP defines transaction limits; MEASURE monitors behavior; MANAGE blocks unsafe actions; GOVERN sets commerce policy.