Eliminate processor lock-in, slash PCI costs, and neutralize breach impact with one unified, agentless data security platform.
Schedule a DemoYour most valuable data (e.g., passenger manifests, loyalty profiles, and millions of daily transactions) flows across booking engines, payment processors, and fraud platforms. This fragmentation creates unavoidable financial, regulatory, and security risk.
Hard-coded processor integrations trap you into one provider. When fees spike, your only choice is to absorb the hit or face crippling break fees.
Thousands of card transactions a day create an enormous CDE. Audits, remediation, and compliance costs never stop draining resources.
PII and payment data are scattered across GDS feeds, booking platforms, and third-party fraud tools – impossible to secure consistently.
DataStealth sits invisibly in your network, enforcing a single data protection policy across every system, partner, and app – without touching your code.
Independent vaulted tokenization makes processors interchangeable. Regain control, cut fees, and switch providers without disruption.
By removing PANs before they enter your systems, PCI audit scope collapses – reducing cost and risk at the same time.
Apply the same controls across booking engines, SaaS platforms, and GDS partners. Guest PII is secured everywhere it flows.
A major travel provider was hit with a 400% jump in processor fees, with millions in costs or break fees looming.
DataStealth’s vaulted tokenization meant they – not the processor – owned their data, making provider changes seamless.
They switched vendors with zero disruption, avoided break fees, and cut processing costs by 20%, saving millions annually.
Tokenize loyalty data to prevent breaches and preserve customer trust.
Treat processors as services, not dependencies. Gain agility for M&A, new partners, or fee negotiations.
Protect PNRs, passports, and guest PII across GDS feeds, booking engines, and databases.
Share data safely with airlines, hotels, and fraud vendors using inline masking and conditional access.
Localize sensitive data to specific jurisdictions to meet residency and privacy rules.
Proven, horizontally scalable tokenization supports peak-season transaction volumes with no latency.