Secure Data. Enable AI.
The data security platform that makes enterprise data safe, in transit and at rest, in every application, pipeline, and model. No code changes. No APIs. No agents. Trusted by leading enterprises across finance, insurance, telecom, retail, and healthcare.
breach = disclosure
breach = non-event
Your data goes everywhere.
The sensitive parts don't need to.
Sensitive data is protected before it ever reaches an app, a pipeline, or an AI model.
DataStealth inspects data in motion and at rest and replaces each sensitive value with a protected version. Your systems keep working exactly as they did. The real data simply never leaves your control in the clear.
DataStealth protects sensitive data at the field level across on-prem, cloud, SaaS, legacy, and AI environments, so your team can reduce risk, simplify compliance, and make exposed data unusable, without invasive deployments or complex integrations.
Know Where Your Data Is.
Scan your network to automatically discover data sources. Uncover Shadow IT and missed inventory from manual processes.
Forrester Research Confirms:
"Defending the edge isn’t enough. The risk actually lives at the data layer."
Forrester states that organizations are rapidly adopting Data Security Platforms (DSPs) to regain control: a critical shift from reactive defence to proactive resilience.
Read the Forrester Report →"A very unique offering backed by a great team."
Charanjit S., Enterprise (> 1000 emp.)"Secure, reliable, and customer-focused data protection"
Twane B., Enterprise (> 1000 emp.)"Quality service offering in an ever changing compliance space"
Eric R., Enterprise (> 1000 emp.)"For me, DataStealth is more than a product, it is a complete solution"
Alain J B., Directeur - Opérations de cybersécurité, Enterprise (> 1000 emp.)"The DataStealth team truly forms the backbone of the products and services they offer."
Robert S., Director - Technical Sales, Mid-Market (51-1000 emp.)"They have a strong technical team and provided exceptional customer support throughout our complex implementation."
Verified User, Higher Education, Enterprise (> 1000 emp.)"Their team quickly became trusted partners: sharp, reliable, and clearly invested in our success."
Verified User, Telecommunications, Enterprise (> 1000 emp.)"I have found the team to be detail-oriented and highly responsive."
Verified User, Computer & Network Security, Small-Business (50 or fewer emp.)Confidence You Can Verify. Not Just "Take Our Word For It".
Audited annually as a PCI DSS Level 1 Service Provider, and on the Board of Advisors for the PCI Security Standards Council (2025-2027).
Is your data ready for AI?
Get a free, personalized readiness report: what is exposed, what is blocking AI, and what to do first.
Discover, Classify & Protect Sensitive Data in Every Cloud
Shadow data, misconfigured identities, and raw logs are where breaches begin. Learn how DataStealth gives you full visibility and applies real data-layer protection across AWS, Azure, and GCP, without rewriting applications.
Featured Case Studies
Loyalty Solution Provider Points Secures Peace of Mind with DataStealth
Securing Legacy Mainframe Data with DataStealth
Turning a 4X Price Hike into a 20% Cost Reduction
Thoughts and Industry Insights from Our Experts
DSPM vs DSP: From Breach Prevention to Breach Resilience
DSPM shows you where sensitive data lives and who can reach it. DSP goes further and actually protects it. See why breach resilience, not just visibility, is what determines the outcome when a breach happens.
Read the Article →Data Residency vs. Data Sovereignty: What Canadian Law Actually Requires
Canadian law doesn't mandate Canadian hosting, it mandates risk mitigation. Here's what Law 25 really requires...and where tokenization fits.
Read the Article →The Myth of the Unbreachable Perimeter
Breaches are inevitable even for well-resourced organizations. Discover why data-centric security, not another perimeter layer, is what limits the fallout when one occurs.
Read the Article →Is It Safe to Put Sensitive Data Into ChatGPT? (2026 Enterprise Guide)
Is it safe to put sensitive data into ChatGPT? Not by default: prompts can be stored, trained on, and exposed. See the enterprise risks and how to fix it.
Read the Article →Frequently Asked Questions
What is the difference between tokenization, masking, and encryption?+−
Tokenization replaces sensitive data with non-reversible or reversible surrogate values (tokens) that retain the original format and length, allowing applications, analytics, and workflows to continue operating without code changes.
Data masking obfuscates data by replacing it with realistic but fictitious values, redacted characters, or generalized ranges. It's often used for test environments, customer support views, and log sanitization.
Encryption transforms data into ciphertext using cryptographic algorithms, making it unreadable without the corresponding decryption key.
What is format-preserving encryption and when should you use it?+−
Format-preserving encryption (FPE) encrypts data while maintaining its original format, length, and character set, i.e., a 16-digit credit card number encrypts into another 16-digit number, a 9-digit SSN encrypts into another 9-digit value.
DataStealth supports FPE using FF1/FF3-1 algorithms alongside standard AES-GCM for bulk encryption and field-level encryption for targeted protection. FPE is still encryption; it inherits AES's threat model, including exposure to future quantum-computing attacks. It is not a substitute for vaulted tokenization when quantum-resistance is the requirement.
How does a data-centric security approach differ from perimeter-based protection?+−
Perimeter-based security (e.g., firewalls, network segmentation, VPNs, etc) protects the infrastructure surrounding data but leaves the data itself unprotected once an attacker breaches the perimeter.
Data-centric security inverts this model: protections travel with the data itself through tokenization, masking, or encryption applied at the field level. Randomly generated, vaulted tokens carry no mathematical relationship to the original value, so exfiltrated tokens are useless to an attacker today and remain safe against future quantum-computing advances. Encryption-based protection, including FPE, does not carry that same guarantee.
Data Security Insights, Delivered to Your Inbox
Get expert guidance, industry updates, emerging threats, and practical strategies to help protect sensitive data and reduce risk.
Put Your Enterprise Data to Work, Safely
Meet with our team for a full review of our solution and deployment methodology as your next step in your data protection and risk mitigation journey.