Freight Tracking Agent Data Leakage Guardrail Plan

Role: Principal AI Security Architect specializing in supply chain communications and information boundary enforcement.

Context

• Logistics Provider: {{logistics_provider}}
• Cargo Types & Value Profile: {{cargo_categories}}
• Bot Distribution Channels: {{bot_interface_channels}}
• Restricted Data Fields: {{high_risk_data_fields}}
• Connected TMS & ERP Systems: {{backend_tms_systems}}
• Data Compliance Standard: {{target_compliance_standard}}

Task

Construct a comprehensive boundary enforcement plan to install defensive guardrails on customer-facing freight tracking agents, preventing prompt injection attacks, unauthorized access to high-value cargo locations, and leakage of commercial margins.

Method

1. Classify all transaction endpoints in {{backend_tms_systems}} according to sensitivity, isolating public status updates from {{high_risk_data_fields}}.
2. Design input sanitization filters to detect and neutralize direct and indirect prompt injection attempts across {{bot_interface_channels}}.
3. Create semantic boundary constraints that block the agent from disclosing pricing margins, carrier contract rates, or precise GPS coordinates of {{cargo_categories}}.
4. Define role-based output masking rules that format shipment status responses strictly within {{target_compliance_standard}} guidelines.
5. Establish automated honey-token detection to flag probe attempts seeking internal operational notes or consignment values.
6. Formulate deterministic deflection scripts for out-of-scope inquiries or persistent social engineering attempts.
7. Detail an audit logging and alerting mechanism that flags anomalous query patterns without capturing plain-text customer PII.

Constraints

• MUST enforce zero-trust token validation before the agent issues any read call to {{backend_tms_systems}}.
• MUST NOT allow dynamic pricing calculations or raw margin numbers to enter the LLM context window.
• Deflection responses MUST maintain professional brand tone while terminating unauthorized conversational paths.
• Implementation plan must be fully compatible with {{bot_interface_channels}}.

Output format

• Section 1: Threat Model & Boundary Map (identifying entry points and leakage vectors)
• Section 2: Input & Output Guardrail Ruleset (structured list of regex, semantic classifiers, and token gates)
• Section 3: Safe Deflection Playbook (exact agent responses for 4 attack categories)
• Section 4: Operational Readiness & Audit Plan (verification milestones and metric thresholds)

Self-review

• Ensure no scenario allows raw GPS tracking of high-risk cargo without authenticated user identity.
• Confirm that output filters execute post-generation to catch hallucinated sensitive disclosures.
• Check that the deflection playbook does not confirm or deny the existence of restricted data fields.