Protecting Loyalty Points and Gift Cards

Fraud is shifting into loyalty accounts and gift-card balances, which behave like cash but are rarely protected like payment data. AI service and redemption tools now read and act on these identifiers, and generic DLP does not recognize them. PointGuard AI generates custom data types for loyalty and gift-card data and enforces policies across prompts, responses, and tool calls.

Loyalty and gift-card data is valuable and under-protected.

• Generic detectors do not recognize loyalty and gift-card formats.
• Service chatbots can reveal balances or card numbers.
• Agents can transfer or redeem value without checks.
• Fraud teams lack visibility into AI-driven account activity.

AI Data Protection and Agent Mission Control protect loyalty data and govern redemption actions.

1. Define custom data types. Generate detectors for loyalty IDs, gift-card numbers, PINs, and balances alongside built-in PII and payment detectors.

2. Inspect every interaction. Scan prompts, responses, and tool calls at sub-100 ms latency.

3. Block, mask, or redact. Apply policy by channel and role, and hold high-value transfers or redemptions for review.

4. Feed fraud operations. Log detections and blocked actions for fraud and security teams.

• OWASP Top 10 for LLMs: LLM02 Sensitive Information Disclosure and LLM06 Excessive Agency, covering disclosure of stored-value data and agents moving value without checks.
• OWASP Top 10 for Agentic Applications: ASI02 Tool Misuse and Exploitation and ASI03 Identity and Privilege Abuse, addressing redemption tools and account access turned toward fraud.
• NIST AI RMF: MAP identifies stored-value data; MEASURE evaluates exposure; MANAGE enforces policy; GOVERN defines ownership.