4111 8065 0631 5402
**** **** **** 5402
Masking10/25/1982
40-45 years old
Anonymization392-61-4981
567-309-0124
Tokenization192168721
******8721
MaskingPriya Patel
Jane Doe
Synthetic987654
003584721
Tokenization$192.74
$192.74
Raw data726
P!4
Encryption75201
Dallas Metro
Anonymization05/09/2025
05/09/2025
Raw data1X9JC12A7DY50
1X9JC12A7DY50
Token35DF515A74
******5A74
Masking
Built to Protect. Designed to share.
Data Consumption
Data Security
Secure data where it lives, control how it’s used.
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Secure Your Data. Focus On What Matters.
We keep your sensitive data secure on or off-server so you can
focus on what really matters — growing your business.
Apply protection directly to the data, so that no matter where your data goes, it stays protected, auditable, and compliant – without vendor lock-in or custom rework.
Simplify compliance by enforcing protection at the data level – reduce audit scope, eliminate legacy security controls, and future-proof against regulatory change.
Enable safe data collaboration across your business, partners, and platforms to ensure data shared without exposure – fueling internal data democratization and external sharing.
Protect the sensitive data fueling your AI and LLM initiatives – whether training models or powering copilots, ensure responsible AI with privacy, security, and guardrails built in.
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The external piece, “AI Is Redefining Cybersecurity: Why Awareness Alone No Longer Protects Us” (Oct 29, 2025), spotlights a simple shift: awareness is table stakes; action and AI-powered resilience are…
Building a Cyber Strong Industry: From Awareness to Action
Published summary based on a third-party press release • Last updated: Oct 27, 2025 The external piece, “Building a Cyber Strong Industry: From Awareness to Action,” spotlights how this year’s…
How to Make Security Developer-First in the Gen-AI Era
The external piece, “Designing Security for Developers, Not Around Them” (Oct 16, 2025), makes the case that as Generative AI (GenAI) accelerates developer productivity, security must shift from perimeter-centric models…
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