

Discover and classify guest, traveler, and loyalty data across cloud, SaaS, and on-prem, with extreme classification accuracy
Automate compliance with privacy regulations and dozens of other global regimes
Gate what data feeds AI, from personalization engines to agentic booking assistants
Runs inside your environment; sensitive data never leaves your control
Few industries collect as much personal data as travel and tourism, and few move it across as many borders. An airline knows a passenger's identity documents, itinerary, payment cards, frequent-flyer history, dietary and medical needs, and location. A hotel or resort knows who stayed, when, with whom, what they spent, and what they preferred. A casino resort layers gaming activity, player-club profiles, and AML/KYC identity data on top of all of it.
This data is the engine of personalization, revenue management, and loyalty, the very things that differentiate a modern travel brand. It is also scattered across reservation systems, property-management platforms, loyalty databases, call-center recordings, third-party booking channels, and marketing clouds. Every copy is a point of regulatory exposure, and every jurisdiction a traveler passes through brings its own rules. To monetize this data and protect it at the same time, you first have to know exactly what you have, where it lives, and who can touch it.
Data Sentinel gives travel and tourism organizations that visibility and control from a single platform, unifying data discovery, governance, privacy, and quality, and operating directly inside your environment so sensitive data never has to move.
Travel is racing to deploy AI: dynamic pricing, personalized offers, chatbots and agentic booking assistants, fraud and AML detection, and demand forecasting. But AI systems consume far more data than traditional infrastructure can govern and they don't reduce complexity, they expose it. Feed an AI model ungoverned guest data and you inherit every privacy violation, bias, and inaccuracy hidden inside it.
Data Sentinel builds the trust layer AI needs. It controls what data is eligible to enter AI pipelines, enforces policy at the source, and keeps a continuous, auditable record of what fed every model.
AI Data Gating
Prevent sensitive, regulated, or out-of-policy data, passport numbers, payment data, health notes, minors' data, from entering training sets, RAG stores, or inference workflows.
AI Data Readiness
Assess whether traveler and guest data is accurate, complete, and eligible before it powers personalization, pricing, or an agentic assistant.
Model Bias & Provenance
Detect bias in training data and maintain provenance so you can answer, for any AI decision, exactly what data was used and whether it was allowed.
Enable Data Sentinel within your systems to discover, classify, inventory, and quantify your traveler and guest data automatically and continuously turning fragmented, high-risk data into a trusted, controlled asset.
DATA DISCOVERY & CLASSIFICATION
Map and classify guest, loyalty, and passenger data across reservation systems, PMS, CRMs, data lakes, and unstructured stores structured and unstructured, at enterprise scale.
SENSITIVE DATA MANAGEMENT
Know your data risk in near real time, measured financially with Data Sentinel's industry-first risk algorithm, and act before exposure becomes a breach.
AUTOMATED DATA REMEDIATION
Resolve exposure in near real time, masking, encryption, quarantine, minimization, and regionalization, to keep data within policy across every property and region.
SIMPLIFY REGULATORY COMPLIANCE
Comply with global privacy regulations at scale, with automated RoPA, PIA/DPIA generation and targeted DSAR fulfillment across all data types.
DATA RETENTION & MINIMIZATION
Automate cleanup of redundant, obsolete, and trivial data across loyalty and booking systems to shrink your risk surface and storage cost.
DATA QUALITY MONITORING
Trust that guest and traveler data is accurate, complete, and reliable, the foundation for personalization, revenue management, and dependable AI.
ACTIVE DATA GOVERNANCE
Continuously monitor that your policies are enforced across brands, franchises, and geographies, and know in near real time when they aren't.
Data Sentinel runs inside your environment (behind your firewall), so your data never leaves your control and you meet the strictest data-residency requirements — delivered as SaaS, on-prem, or hybrid, and backed by managed services that operationalize governance, not just visibility.
Travel is inherently cross-border, which means a single guest record can be subject to several regulatory regimes at once. Staying compliant, secure, and adaptable across all of them is nearly impossible to manage manually. Data Sentinel continuously tracks regulated data, PII, PCI, PHI, and passenger records, across every system and maps it to the obligations that apply.
GDPR & UK GDPR
Lawful basis, data-subject rights, and cross-border transfer rules for every European traveler and guest, with automated RoPA, DPIA, and DSAR support.
CCPA / CPRA & U.S. state laws
Consumer rights, opt-outs, and sensitive-data handling across California and the growing patchwork of U.S. state privacy laws.
PCI DSS
Payment card data is everywhere in travel, bookings, folios, gaming cages, loyalty redemptions. Locate and control cardholder data to reduce scope and audit burden.
Saudi PDPL & NDMO
For operators in the Kingdom, Data Sentinel maps data to the National Data Management Office's 15 governance domains and supports PDPL obligations the foundation of our work with Riyadh Air.
PNR / API & aviation data rules
Passenger Name Record and Advance Passenger Information flows carry sensitive data across authorities and borders; govern what is shared, retained, and disposed.
Gaming & AML / KYC obligations
For casino resorts, Bank Secrecy Act / Title 31, KYC, and gaming-regulator requirements demand tightly governed, high-integrity identity and transaction data.
Global privacy regimes
PDPL, PIPL, LGPD, PIPEDA and others, country-by-country rules governing how traveler data is collected, used, transferred, and retained, unified under one control plane.
As the Kingdom of Saudi Arabia's new flagship carrier scaled from the ground up, it faced immediate NDMO regulatory exposure across 15 governance domains, rapid data sprawl, and AI ambitions with no governed trust foundation beneath them. Data Sentinel is designing Riyadh Air's enterprise Data & AI Trust operating model, drafting foundational governance frameworks, mapping a consolidated policy framework to the NDMO domains, and running a controlled customer-data pilot. The result is a structured path to NDMO/PDPL compliance and a controlled foundation for AI enablement, built before enterprise rollout rather than retrofitted after.
Hospitality and vacation-ownership brands hold decades of guest, member, and payment data spread across reservation, property-management, and loyalty systems a rich asset for personalization and an equally rich compliance liability under GDPR, CCPA/CPRA, and PCI DSS. Data Sentinel gives hospitality operators a single, continuously updated view of where sensitive guest data lives, who can access it, and whether it is within policy enabling faster DSAR fulfillment, defensible retention, and a trustworthy foundation for guest personalization.
Casino resorts sit at the intersection of hospitality and heavily regulated financial activity: player-club profiles, hotel and entertainment folios, and AML/KYC identity and transaction data all in one enterprise. That combination demands governed, high-quality data that satisfies both privacy regulators and gaming and anti-money-laundering obligations. Data Sentinel discovers and classifies sensitive data across gaming and hospitality systems, quantifies exposure, and enforces retention and access policy reducing regulatory risk while keeping the identity and transaction data behind compliance accurate and trustworthy.
Regulators are converging on stricter privacy and data-residency rules just as travelers expect seamless, personalized, AI-powered experiences. Unstructured data call recordings, emails, documents, chat transcripts now makes up over 80% of enterprise data and is where sensitive traveler information most often hides. Doing right by that data is no longer a back-office concern; it is the foundation of guest trust, brand reputation, and every AI initiative on the roadmap.
Data Sentinel gives travel and tourism organizations the visibility, control, and automation to protect traveler data, comply across every jurisdiction, govern effectively, and unlock data-driven growth from a single platform.
A data governance platform helps organizations discover, manage, and control their data across systems to ensure it is accurate, secure, and compliant. It provides visibility into where data lives, who has access to it, and how it is used.
AI systems rely on high-quality, trusted data. Without proper data governance, AI can introduce bias, increase risk, and produce unreliable results. Data governance ensures only accurate, compliant, and policy-approved data is used in AI models.
Sensitive data discovery identifies where regulated data (such as PII, PHI, and financial information) exists across structured and unstructured systems. This is critical for reducing risk, protecting data, and meeting compliance requirements.
Organizations can automate data privacy and compliance by using platforms that continuously monitor data, enforce policies, and generate audit-ready reporting. This replaces manual processes like spreadsheets and reduces the risk of non-compliance.
AI data governance is the practice of controlling what data can be accessed and used by AI systems. It ensures that only compliant, high-quality, and policy-approved data is used in AI pipelines, reducing risk and improving model performance.
Poor data quality leads to inaccurate reporting, operational inefficiencies, and unreliable AI outputs. High-quality data ensures better decision-making, improved performance, and more trustworthy AI results.
Common challenges include lack of visibility into data, manual compliance processes, inconsistent data quality, and difficulty enforcing policies across systems. Many organizations also lack the internal resources to operationalize governance effectively.
Data governance defines how data is managed and controlled
Data privacy ensures sensitive data is protected and compliant
Data quality ensures data is accurate and reliable
Yes. Many organizations use platforms that combine automation with managed services to operationalize data governance without requiring large internal teams. This allows businesses to scale governance efficiently.
Unlike traditional tools that focus only on visibility, Data Sentinel provides end-to-end control (from discovery to enforcement) and operates within your environment. It also includes expert-managed services to ensure governance is fully operationalized.
