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Financial Services

Blocking Prompt Injection in Bank Documents

Inspect retrieved documents and tool responses for hidden instructions before they redirect banking assistants or agents.

Blocking Prompt Injection in Bank Documents

Bank statements, loan applications, customer emails, and retrieved records supply context for AI assistants. They can also carry hidden instructions that ask an agent to disclose information, skip a check, or redirect a payment. PointGuard AI inspects untrusted content and governs downstream tool actions, helping banks keep document content from becoming unauthorized operational instructions.

Challenges

AI assistants can mistake attacker-controlled document content for instructions that override the bank's intended workflow.

  • Uploaded applications and statements can contain concealed instructions.
  • Retrieved content can enter workflows without direct attacker interaction.
  • Tool responses can introduce malicious instructions after a prompt is approved.
  • A successful injection can combine data access with unauthorized actions.

Solution

Runtime Guardrails and MCP Security Gateway inspect incoming content while Agent Mission Control applies independent limits to the actions an agent may take.

1. Inspect untrusted content. Evaluate user prompts, retrieved files, document content, and governed tool outputs for injection attempts before model processing. Distinguish direct instructions from attacks embedded in external material.

2. Block malicious interactions. Apply configured threat policies to stop detected manipulation and record the enforcement result. Use application context and data sensitivity to determine how suspicious content should be handled.

3. Validate downstream actions. Check proposed tool operations against the agent's identity, mission, delegated authority, and policy. A document's instruction to change a payee or bypass a check does not expand the agent's permissions.

4. Test evolving attack paths. Run adversarial probes against document-driven workflows and retest after changes. Review detections and action records to identify gaps across retrieval, model processing, and tool execution.

Risks Addressed

  • OWASP Top 10 for LLMs: LLM01 Prompt Injection and LLM06 Excessive Agency, covering injected instructions and the authority needed to turn them into harmful actions.
  • OWASP Top 10 for Agentic Applications: ASI01 Agent Goal Hijack and ASI02 Tool Misuse and Exploitation, addressing redirected agent goals and misuse of connected tools.
  • NIST AI RMF: MAP identifies untrusted inputs; MEASURE tests resistance; MANAGE applies layered controls; GOVERN defines acceptable workflow behavior.