Every checkout. Every query. Governed.
Retailers and e-commerce organizations use AI across customer service, merchandising, marketing, and operations — generating exposure vectors for payment card data, customer PII, loyalty program records, supply chain intelligence, and competitive pricing strategy. Arbitex puts governance in front of every AI call — detecting PCI-scoped data, enforcing privacy policies, and logging every interaction under PCI-DSS, CCPA, GDPR, and SOX. The data plane deploys inside your network.
Capabilities
AI governance built for retail operations, e-commerce, and omnichannel commerce.
PCI-DSS Payment Data Protection
Customer service agents, merchandising teams, and operations staff using AI tools create a path for payment card data to reach external models — card numbers, CVVs, expiration dates, and cardholder names embedded in support tickets, order queries, and transaction analysis. Arbitex's DLP pipeline detects PCI-scoped data patterns at Tier 1 before any model processes them: primary account numbers, track data formats, and cardholder data elements. Violations are blocked or redacted in-path. Every enforcement action is logged with PCI-DSS requirement mapping for QSA audit evidence.
Customer PII Detection in AI Interactions
Retailers handle massive volumes of customer personally identifiable information — names, addresses, email addresses, phone numbers, purchase histories, and behavioral profiles. AI tools used for customer segmentation, personalized marketing, support automation, and demand forecasting operate on this data continuously. Arbitex detects PII patterns across all AI interactions: customer identifiers, contact information, demographic data, and purchase behavior records. Policy enforcement governs which data categories reach which models based on department and use case.
Loyalty Program Data Governance
Loyalty and rewards programs generate rich customer profiles — point balances, redemption histories, tier status, partner transaction data, and linked payment methods. AI tools used for loyalty program optimization, churn prediction, and personalized offers operate on data that combines financial, behavioral, and identity information. Arbitex enforces data classification policies for loyalty program data: member identifiers, transaction histories, partner data sharing boundaries, and reward account credentials are detected and governed before reaching AI models.
Supply Chain Intelligence Protection
Retail supply chains generate competitively sensitive data: vendor pricing, inventory levels, fulfillment costs, logistics routes, and supplier performance metrics. AI tools used for demand forecasting, inventory optimization, and supplier evaluation create exposure vectors for this intelligence. Arbitex detects the credentials and payment identifiers that appear in supply chain workflows with its shipped detectors, and commercially sensitive fields — vendor contract terms, procurement pricing, warehouse capacity data — are covered by org DLP rules your team authors. Policy enforcement then prevents proprietary supply chain intelligence from reaching unauthorized models or being exposed through AI-generated summaries.
Competitive Pricing Data DLP
Pricing strategy data — cost structures, margin targets, promotional calendars, dynamic pricing algorithms, and competitor analysis — represents core competitive intelligence for retailers. AI tools used for price optimization, competitive benchmarking, and promotional planning operate on data that would be highly valuable to competitors. Arbitex enforces pricing data classification: margin percentages, cost-of-goods data, promotional pricing schedules, and competitive intelligence reports are detected at the DLP layer. Enforcement actions prevent pricing strategy data from reaching external AI models.
Identity-Governed AI Access Across Channels
Retail organizations operate across multiple channels — e-commerce platforms, in-store systems, mobile apps, customer service centers, and corporate offices — each with different data access requirements. Arbitex enforces identity-based access controls at the AI gateway: every request is authenticated via SAML 2.0 or OIDC before DLP inspection runs. Role-based policies govern which departments and channels can query which models with which data categories. SCIM 2.0 provisioning keeps access synchronized with your HR system as seasonal staffing scales up and down.
How it works
Deploy inside your retail network or PCI-scoped environment
The Arbitex data plane installs in your retail infrastructure using Docker Compose or Kubernetes — inside your PCI-scoped network segment, corporate VPC, or e-commerce platform environment. All AI traffic from customer service, merchandising, marketing, operations, and corporate teams routes through the gateway before reaching any model endpoint. Payment card data detection, customer PII enforcement, and audit logging run entirely inside your environment. No customer data, payment information, or pricing intelligence transits Arbitex-controlled infrastructure.
Payment data, PII, and competitive intelligence detection runs in-path
PCI-scoped payment card data, customer PII, loyalty program records, supply chain intelligence, and pricing strategy data are detected before reaching any AI model. Tier 1 structural matching catches card numbers, track data, and formatted PII. Tier 2 applies ML-based detection to identify customer names, addresses, and behavioral data in free-text queries. Contextual validation at Tier 3 resolves ambiguous detections. Enforcement actions — block, redact, or route-to-review — execute before any data reaches the model. Every decision is logged with a compliance framework identifier.
Audit evidence ready for PCI QSA assessments and privacy compliance
The tamper-proof audit log accumulates a complete evidence trail for every AI interaction involving payment data, customer PII, or sensitive business intelligence. Signed exports provide documentation for PCI-DSS QSA assessments, CCPA consumer rights requests, GDPR data processing records, and SOX internal controls audits. SIEM integrations deliver enforcement metrics for continuous monitoring of payment data handling and customer privacy compliance across retail channels.
Six frameworks. One policy layer.
Each compliance obligation maps to a specific Arbitex capability. All bundles are active simultaneously — no separate configuration per channel, brand, or geographic market.
Primary account number, track data, and cardholder data detection in AI workflows. Enforcement actions mapped to PCI-DSS requirements 3 (stored data), 4 (transmission), and 10 (monitoring). QSA-ready audit evidence with tamper-proof logs.
Consumer personal information detection and governance in AI interactions. Data category classification for sale/sharing opt-out enforcement. Audit trail support for consumer rights requests and AG compliance inquiries.
EU customer personal data detection for cross-border e-commerce operations. Lawful basis enforcement for AI data processing. Data subject rights support and processing activity records for DPA compliance.
Financial reporting data governance for publicly traded retailers. Internal controls evidence for AI tools processing revenue, inventory valuation, and financial planning data. Tamper-evident audit trails for SOX 404 compliance.
Unfair or deceptive practices prevention in AI-powered consumer interactions. Data handling governance for AI-generated product recommendations, pricing displays, and marketing content. Enforcement evidence for FTC compliance.
Multi-state consumer privacy compliance for retailers operating across jurisdictions. Personal data detection and governance mapped to Virginia, Colorado, Connecticut, Texas, and additional state privacy law requirements.
Related Resources
Ready to put governance in front of your retail AI?
Talk to an Arbitex engineer about PCI-DSS payment data detection, customer PII governance, loyalty program data controls, and omnichannel AI policy enforcement for your retail or e-commerce environment.