Insights and Industry Analysis
Deep dives from our experts on data security, plus company news and events.
Security Doesn't End at Detection
Prevention and detection aren't enough. Learn how data-centric protection closes the last gap in enterprise security.
Data Residency vs. Data Sovereignty: What Canadian Law Actually Requires
Canadian law doesn't mandate Canadian hosting, it mandates risk mitigation. Here's what Bill C-36 and Law 25 really require...and where tokenization fits.
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.
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.
Mainframe Modernization Risks: The Complete 2027 Guide to De-Risking the Migration
The 5 mainframe modernization risks, and how to de-risk migration at the data layer: discover, tokenize, and protect sensitive data with zero code changes.
Mainframe Vulnerability Management: How to Find, Prioritize, and Neutralize Risk on z/OS
US breaches average $10.22M. For banks and insurers, mainframe vulnerability management on z/OS closes the gaps scanners miss and neutralizes the data itself.
Mainframe PCI DSS Compliance: 12 Requirements Mapped to IBM Z Controls
All 12 PCI DSS requirements mapped to IBM Z controls — RACF, encryption, LPAR segmentation, SMF logging, and tokenization for 70–90% scope reduction
How to Tokenize DB2 Data Without Changing COBOL or CICS Applications
Discover how to tokenize mainframe Db2 data with zero COBOL or CICS changes. Reduce PCI DSS scope, eliminate MIPS overhead, and secure legacy applications.
DB2 Encryption vs Tokenization: When Native Protection Falls Short
Db2 offers four encryption methods but none protect data outside the database. Compare native encryption against tokenization for PCI DSS scope reduction.
DB2 Best Practices: A Complete Guide for LUW, z/OS, and Mainframe Modernization
DB2 best practices for performance tuning, backup, HADR, security, and migration. Covers LUW and z/OS editions with practitioner gotchas and compliance guidance.
Mainframe Tokenization: How It Works, Use Cases, and PCI DSS Scope Reduction
Mainframe tokenization replaces sensitive data on IBM Z (z/OS) with format-preserving tokens. See how it reduces compliance audit scope, compares to encryption, & deploys agentlessly.
AI Data Security: The Enterprise Guide to Protecting Data Across the AI Lifecycle
AI data security protects enterprise data across training, inference, and RAG systems. Learn the threats, controls, and compliance frameworks that matter.
ChatGPT Security: The 2026 Enterprise Guide to Risks, Compliance, and Data Protection
34.8% of ChatGPT inputs contain sensitive data. This 2026 guide covers the 8 enterprise risks, compliance obligations, and the data-first security approach.
Guide: How to Conduct a Comprehensive Data Risk Assessment in Enterprise Environments
Learn how to conduct a data risk assessment with this 7-step framework. Covers data discovery, classification, risk scoring, and remediation for cloud, AI, and regulated environments.
AI Data Loss Prevention: Why Legacy DLP Fails and What Actually Protects Enterprise Data
AI data loss prevention explained: why GenAI breaks traditional DLP, how AI-powered detection helps, and why tokenization is the missing layer.
Static vs Dynamic Data Masking: Why Most Teams Are Missing the Third Option
Your data masking strategy has a gap. Static masks copies. Dynamic masks views. But your production data? Still exposed. Here's the approach that fixes it.
Managed Data Security: The Enterprise Guide to Protecting Data at Its Source
Data breaches cost $4.44M on average, yet most MSSPs never touch the data layer. This guide covers the technologies and strategies that close the gap.
Shadow AI: Why Blocking AI Tools Makes Everything Worse
Shadow AI is an enterprise protection problem, not a policy problem. Learn why blocking ChatGPT drives worse security outcomes — and what to do instead.
MCP Security: Risks, Best Practices, and Why Context Overload Threatens AI Performance
Six MCP security risks drive real-world data exposure. Learn why protocol fixes alone fall short and how data-layer tokenization closes the gap.
Agentic AI Security: Protecting Enterprise Data When AI Agents Have Tool Access
AI agents are the fastest-growing data access channel in your enterprise. Learn the 5 agentic AI security risks and 3 approaches to protecting sensitive data.
Why Stolen CRM Data Still Has Value, and How Tokenization Takes It Away
Ransomware extortion works when stolen CRM data is usable. Tokenization replaces PII with worthless tokens before it enters Salesforce or any SaaS.
What Is Data-Centric Security? The Model That Changes How Enterprises Protect Data
Data-centric security protects the data itself – not the perimeter. Learn the five-process model, compare tokenization vs encryption, and see how it reduces PCI scope by 70–90%
DSP vs DSPM: Why Breach Resilience Beats Alert Fatigue in 2026
DSPM identifies risks, but a DSP *solves* them. Stop drowning in alerts. Learn the critical gap & why real-time enforcement is the key to breach resilience.
Digital Sovereignty Is No Longer Theoretical
The OVHcloud ruling proves data residency does not equal data immunity. Learn why architecture — not jurisdiction — is the only reliable control for sovereign data protection.
DSPM vs DLP: What Both Miss About Protecting Enterprise Data
Compare DSPM and DLP to understand their roles and critical gaps. Learn how data-centric protection secures cleartext data where other tools fall short.
Vaulted vs. Vaultless Tokenization: Understanding the Real Differences in Modern Data Protection
Vaultless tokenization & vaulted tokenization compared. Learn which method reduces PCI DSS scope, minimizes breach impact, & fits your architecture.
What Is Data Tokenization? How It Works, Types, and Why It Matters for Compliance
What is data tokenization? This guide covers vaulted vs vaultless architectures, tokenization vs encryption, PCI/HIPAA/GDPR compliance, and implementation.
PII vs PHI vs PCI: What They Are, How They Differ, and How to Protect All Three
PII, PHI, and PCI data overlap in ways that multiply compliance risk. Learn the differences, 2026 penalty structures, and how tokenization protects all three.
RSAC 2026 Recap: What Our Team Heard on the Floor
DataStealth's team shares key takeaways from RSAC 2026, from DLP fatigue and AI noise to growing demand for data-centric protection in enterprise environments.
Data at Rest Encryption: Complete Enterprise Guide
Compare FDE, TDE, field-level, and FPE methods for data at rest encryption. Map each to PCI DSS, HIPAA, and GDPR. Learn why encrypted PANs stay in PCI scope
Data Tokenization vs Masking: When to Use Each
Masking hides data. Tokenization removes it. See which method reduces PCI scope by 70–90%, when enterprises need both, and how to apply each by data state.
Data Breach Fatigue Is Real. Here Is Why You Should Still Care
Over 4,100 breaches hit in 2025 alone. Learn why data breach fatigue is dangerous, what recent 2026 breaches reveal, and how data-centric security reduces impact.
What Is Data Sprawl? The Enterprise Guide to Managing Uncontrolled Data Growth (2026)
Data sprawl expands your attack surface and inflates costs. Learn the causes, risks, and 7 proven strategies enterprises use to discover, classify, and protect sprawled data.
PCI DSS Tokenization: How to Reduce Cardholder Data Scope Across Hybrid Environments (2026 Guide)
PCI SSC treats encrypted PANs as cleartext for scope. Tokenization removes them entirely. Learn how to reduce PCI scope across hybrid environments in 2026.
Mainframe Security for Insurance: How Insurers Protect Policyholder Data on IBM Z Without Code Changes
RACF controls access. Encryption protects storage. Neither protects policyholder data flowing to test, analytics, or AI. See how insurers close the gap.
Mainframe Modernization and COBOL: Why AI Code Translation Is Only Half the Challenge
AI tools like Claude Code accelerate COBOL modernization. But code translation is the easy part. Learn how to secure mainframe data during migration.
Our RSAC 2026 Watchlist: AI Risk, Broken Tooling, and a Mythbuster
Attending RSA Conference 2026? Visit DataStealth at Booth #1927 or schedule an on-site meeting with our experts.
How Enterprise Retailers Reduce PCI DSS Scope Across Hybrid and Legacy Environments
PCI scope is the #1 cost driver for enterprise retail compliance. Learn how tokenization removes cardholder data from downstream systems without rewriting apps.
Mainframe Security for Banking: How Financial Institutions Protect Core Banking Systems on IBM Z
How banks protect core banking data on IBM Z with tokenization, pervasive encryption, and agentless deployment, without modifying COBOL.
Format-Preserving Encryption vs Tokenization: Understanding the Real Differences in Modern Data Protection
FPE, vaultless tokenization, and vaulted tokenization compared. Learn which method reduces PCI DSS scope, minimizes breach impact, and fits your architecture.
PCI Scope Reduction: Tokenization vs. Network Segmentation
Level 1 merchants spend $50K-$200K yearly on PCI audits. Scope reduction changes that equation. Compare tokenization vs segmentation.
Data Masking for HIPAA Compliance: 8 Best Practices for Healthcare Enterprises (2026)
Full guide to HIPAA-compliant data masking including Safe Harbor method, 18 identifiers, 2026 Security Rule proposals, & best practices for healthcare AI/ML training.
Data Residency for Energy & Resource Companies: A Complete Guide (2026)
Data residency for energy companies: stop choosing between compliance and cloud adoption. Tokenization strategies that protect data without blocking tools.
Data Protection Platforms: The Complete Guide for Regulated Industries in 2026
Learn how data protection platforms secure PII across cloud, SaaS, and legacy systems. Compare tokenization, encryption, masking, and top vendors.
DataStealth’s Security-First Approach: Strengthening Our Posture Ahead of SOC 2 Type II
DataStealth is built security-first. Learn how PCI DSS Level 1 compliance and our path to SOC 2 Type II protect sensitive data everywhere it moves.
Shadow Data Remediation: A Step-by-Step Guide for Enterprise Security Teams
Discover, classify, and remediate shadow data with this enterprise guide. Learn masking, tokenization, and FPE techniques to eliminate hidden security risks.
Tokenization vs Encryption vs Masking: What’s the Difference?
Reducing breach impact starts with the right data protection strategy. Learn what’s best for you - and why.
Mainframe Application Modernization: The Complete Guide for 2026
The complete 2026 guide to mainframe application modernization. Learn rehosting, replatforming, refactoring, costs, ROI, risks, and best practices.
Best Mainframe Upgrade and Modernization Solutions for 2026
Compare the best mainframe upgrade and modernization solutions for 2026. Reduce TCO and secure legacy data with our top vendor reviews. Read the guide.
Enterprise Data Encryption Solutions: A Complete Implementation Guide for 2026
Discover how enterprise data encryption solutions protect sensitive information across mainframe, cloud, and hybrid environments. Compare strategies, tools, and best practices.
Mainframe Security Controls: A Practical Guide to z/OS Security Systems
Master mainframe security controls with our comprehensive guide covering RACF, ACF2, Top Secret, access controls, privileged access management, and modern security tools.
Data Security Principles: Core Principles & Best Practices for 2026
Learn the core data security principles – CIA Triad, “five pillars,” and the 7 GDPR Article 5 principles – plus practical best practices to protect sensitive data across on-prem, cloud, and hybrid environments.
Data Security Best Practices in 2026: Practical Controls to Protect Sensitive Data
A 2026-ready guide to data security best practices: discovery, classification, encryption, key management, MFA/RBAC, DLP, monitoring, and incident response across cloud, mainframe, and on-prem.
Data Protection vs Data Security
What's the difference between data protection vs data security? Learn how they work together to safeguard sensitive data, ensure compliance, and prevent breaches.
Mainframe Encryption: How to Secure Critical Data in 2026
Learn how to secure mainframe data in 2026 with encryption, tokenization, and agentless protection for hybrid environments.
Mainframe to Cloud: Secure Solutions for Data Pipelines
Learn how to secure mainframe to cloud data pipelines with encryption, tokenization, zero trust, and agentless controls that protect sensitive data across hybrid environments.
GCP Security Guide: Protecting Your Side of the Shared Responsibility Model
Protect sensitive data in Google Cloud with data-centric security. Learn how to discover, classify, and secure GCP data across hybrid and multi-cloud environments.
AWS Security Best Practices: How Infrastructure Leaders Win Their Side of the Cloud
AWS security best practices for IT leaders who own data security, IAM, and compliance across complex cloud environments.
API Security Best Practices for Enterprises
Learn modern API security best practices for protecting sensitive data across cloud, SaaS, and hybrid environments – beyond gateways and auth – to secure APIs end-to-end.
What is Data Security Management?
Protect sensitive data across its lifecycle with strong controls. Learn how data security management unifies discovery, encryption, and compliance for secure data usage.
Test Data Management Problems & Mistakes to Avoid in 2026
Avoid these critical test data management problems that block dev velocity, create security holes, and fail to scale in complex environments.
Buying Guide: Best Data Encryption Solutions for Enterprise
A 2026 buying guide to enterprise-grade data encryption solutions. Compare coverage, key management, performance, and compliance across 9 vendors.
11 Types of Data Encryption Explained
The 11 types of data encryption you need to know about. Learn about their pros & cons, and how in-line tokenization enhances data protection, compliance & governance.
Data Quality vs Data Integrity
Learn the key differences between data quality, and data integrity, and how unified discovery and protection closes the trust-gap across your data.
What is Dark Data?
Learn what dark data is, why it’s a security risk, and how to discover, classify, and secure it across your environment.
MirrorMask and the Collapse of Client-Side Trust
MirrorMask exposes how mirrored checkouts steal data undetected—showing why client-side trust is broken and tokenization is vital.
SaaS Security: Guide to Protecting Your Cloud Applications
Gain a deep understanding of the risks and best practices of SAAS security, and ensure your enterprise’s data is protected from all fronts, with this comprehensive review.
What is Shadow Data?
Shadow data is untracked, unprotected information that escapes governance—creating hidden risks across multi-cloud systems.
Multi Cloud Security: 2026 Guide to Data-Centric Protection
Learn what multi-cloud security is, 2026 best practices, and how in-line tokenization cuts compliance scope across AWS, Azure, and GCP – without code changes.
Data Tokenization Solutions (2026): Approaches, Use Cases, Buyer’s Guide
Understand vaulted vs vaultless, gateway vs SDK, compliance evidence, and costs. Includes comparison matrix, reference architectures, and FAQs.
What Are the Best Microsoft Purview Alternatives?
Explore 9 Microsoft Purview alternatives in 2026. Compare features, pricing, and integrations to find the best DLP solution for your enterprise.
18 Varonis Alternatives for Enterprise (2026 Comparison)
Compare 18 enterprise Varonis alternatives by deployment speed, pricing transparency, and legacy system support. Includes guidance on when to choose Varonis or to pursue other vendors.
DataStealth vs. Varonis: DSP Comparison (2026)
Compare DataStealth vs Varonis DSPs: features, costs, and trade-offs to choose the right data security platform in 2025.
What Do French Submarines, Crypto Wallets, and Health Records All Have in Common?
From Naval Group to Coinbase, breaches show we’re in the Data Era. Security must protect data itself—not just networks—to render theft worthless.
The Ultimate Guide to Data Security Platforms (2026)
Data Security Platforms unify data protection with tokenization and encryption. DataStealth simplifies compliance, cuts tool sprawl, and delivers ROI.
What you need to know about DSARs
Learn how Data Subject Access Requests (DSARs) impact organizations and their costs and how to simplify compliance with GDPR and global privacy laws.
What is Data Loss Prevention (DLP)?
What is Data Loss Prevention (DLP)? Learn how DLP works, its limitations, and why DSPs, tokenization, and Zero Trust better protect data from breaches.
What QSAs Want to See for PCI DSS 6.4.3 and 11.6.1 Compliance
Learn what QSAs expect for PCI DSS v4.0 compliance with 6.4.3 & 11.6.1, including best practices and common mistakes to avoid.
PCI DSS v4.0 eSkimming Protection
DataStealth ensures PCI DSS v4.0 compliance, 6.4.3 & 11.6.1 requirements, with real-time monitoring and tamper protection for payment page security.
How Chasing Gaps with More DLP Tools Is Costing You More Than Just Money
Break free from costly, complex DLP. Learn how DataStealth secures data at the source, cuts tool sprawl, and delivers real ROI with real-time tokenization.
Mainframe Security Solutions - Complete Guide for 2026
Complete 2026 guide to securing mainframes with agentless data protection, access control, and compliance tools.
The Future of Mainframe Security is Agentless. Legacy Tools Can't Keep Pace
Discover a new, agentless strategy for securing mainframe data without code changes or performance impact. Learn how tokenization and dynamic masking protect legacy systems like DB2 and TN3270 from modern threats.
Cloud and SaaS Data-First Zero Trust Checklist
Data-first Zero Trust secures sensitive data across clouds, SaaS, and dev by default—enabling compliance and safe innovation.
The Leading Data Breach Risks for Enterprises
You've covered the basics, but the real enterprise risks lie in legacy systems, data sprawl & shadow IT. Is your strategy resilient? Here's what CISOs miss.
What is Data De-Identification?
Protect sensitive data with de-identification and tokenization—secure, compliant, and seamless across your environment.
Real-Time Protection Against Cyber Threats: The CISO's Perspective on Data Security Platforms (DSPs)
CISO, data security, DSP, PCI DSS v4.0, tokenization, masking, Zero Trust, hybrid environments, AI data protection, mainframe security, cloud data governance, compliance, post-quantum security, data risk visibility
Explained: PCI Attestation of Compliance (PCI AoC)
A PCI Attestation of Compliance (PCI AoC) is a document that proves your business follows PCI DSS rules for handling payment card data securely.
DataStealth Named to PCI SSC Board of Advisors
The PCI SSC selected DataStealth for its Board of Advisors to shape global payment security. Learn why the industry's highest authority trusts our expertise.
Test Data Management Best Practices
Secure, de-identified test data in real time to reduce risk, boost agility, and stay compliant—powered by DataStealth.
What is Test Data Management?
TDM enables secure, realistic testing with de-identified data; DataStealth automates and streamlines this process end-to-end.
Data-Centric Zero Trust Use Cases
Data-centric Zero Trust secures sensitive data at the core using tokenization and masking, ensuring it's protected even if breaches occur. This approach minimizes compliance risk, supports safe data sharing, and enhances breach resilience across environments.
RSAC 2025: CISOs Demand Proactive, Integrated Data Security – Now!
At RSAC 2025, CISOs called for data-centric security. Learn why unified DSP platforms and vaulted tokenization are redefining enterprise data protection.
Zero Trust Best Practices: Start by Securing Your Data
Discover how a data-centric Zero Trust strategy protects sensitive information, reduces breach impact, and strengthens compliance across complex IT environments.
Zero Trust Security: Why Starting With Data is a Must
Protect sensitive data with a data-centric Zero Trust approach: minimize breach impact, enforce least privilege, and secure data across cloud, hybrid, and legacy systems.
What is Data Sprawl and How to Regain Control
Data sprawl—the uncontrolled spread of sensitive data across systems, clouds, devices, and AI tools—poses a growing cybersecurity threat by increasing the risk of breaches, compliance failures, and loss of visibility and control.
What is Data Access Control?
What are data access controls? Learn how authentication, authorization, RBAC, and ABAC work—plus why Zero Trust, tokenization, and masking are essential.
PCI DSS 6.4.3 & 11.6.1: What to Do When Your Audit Flags Non-Compliance
Your audit flagged PCI DSS 6.4.3 and 11.6.1. Learn the fastest path to compliance with server-side eSkimming protection – no code changes, operational in days.
Audit Flagged PCI 6.4.3 & 11.6.1? Offload Your Compliance Burden to DataStealth
PCI DSS 6.4.3 and 11.6.1 require real-time script management and tamper detection. Non-compliance after March 31, 2025, risks penalties. DataStealth’s no-code, managed solution ensures continuous compliance without straining internal teams.
Data Tokenization vs Encryption
Tokenization replaces sensitive data with non-reversible tokens, offering stronger breach protection and easier compliance than encryption, which transforms data using cryptographic keys. Tokenization is ideal for structured data, preserving format and reducing risk in storage and processing.
What is Data Encryption?
Learn why data encryption alone isn’t enough and how tokenization enhances protection against modern data breaches.
What is Data Discovery?
The article explains data discovery as the process of locating and mapping sensitive data across various systems, including on-premises, cloud, and third-party platforms. It highlights the importance of data discovery in managing the growing complexity of data environments, ensuring compliance with regulations, and mitigating risks by identifying where and how sensitive data is being used.
The Enforcement Deadline for PCI DSS 6.4.3 & 11.6.1 Has Passed. Here’s What’s Next.
The Enforcement Deadline for PCI DSS 6.4.3 & 11.6.1 Has Passed. Here’s What’s Next.", "description": "The PCI DSS 6.4.3 and 11.6.1 enforcement deadline has passed, requiring merchants to secure payment page scripts and ensure they are monitored. Non-compliance can lead to fines and increased transaction fees.
What is Data Classification?
Data classification is a critical process for securing sensitive information, ensuring compliance, and enabling better data management. Learn why it’s important and how organizations can implement effective classification strategies.
What is Payment Tokenization and How Does It Work?
What is Payment Tokenization and How Does It Work?", "description": "Payment tokenization is a key security technique that replaces sensitive payment information with a unique identifier, or token, to prevent fraud and protect data during transactions. Learn how tokenization works and why it’s crucial for secure payments.
What is Data Masking?
Data masking is a technique used to protect sensitive data by replacing it with anonymized values that maintain the data’s structure and usability. Learn how data masking works and its role in enhancing data security and compliance.
How PCI Tokenization Can Simplify PCI DSS Compliance
PCI tokenization is a powerful solution that helps organizations simplify PCI DSS compliance by replacing sensitive payment card information with a token that cannot be reverse-engineered. Learn how tokenization can reduce security risks and ease the compliance burden.
Understanding PCI DSS SAQ Types and Their Compliance Role
Understanding the different PCI DSS Self-Assessment Questionnaire (SAQ) types is crucial for organizations to ensure compliance. This article explores the various SAQ types and helps businesses determine which one is right for them to maintain secure payment environments.
How to Prove Your Website is Secure Against Script-Based Attacks
Learn how to demonstrate that your website is secure against script-based attacks, meet PCI DSS requirements, and protect your e-commerce systems from malicious injections. This article provides a roadmap for compliance and security best practices.
Guide: Continue Working on 6.4.3/11.6.1 or Focus on Qualifying Under SAQ A?
This guide helps merchants decide whether to continue working on PCI DSS requirements 6.4.3 and 11.6.1 or pursue SAQ A for simplified compliance, reducing their audit scope and improving payment security.
FAQ 1588: More Clarity on SAQ A Eligibility Changes
Misinterpreting SAQ A eligibility is a costly mistake. Get definitive answers on the new criteria and find out if you can simplify your PCI DSS compliance path.
Whether You’re SAQ A or Not, You Can't Afford to Delay PCI DSS 6.4.3 and 11.6.1 Compliance
The enforcement deadline has passed, but the risk remains. Understand the consequences of non-compliance and how to remediate your PCI audit findings quickly.
PCI DSS SAQ A Eligibility Changes: Why Security Should Outweigh Compliance Checklists
Despite the changes to SAQ A, the PCI Council still wants merchants to prioritize security against script-based attacks.
Understanding SAQ A’s New Eligibility Criteria
In this blog, we unpack the changes in SAQ A’s eligibility criteria to identify which organizations the PCI SSC has exempted from requirements 6.4.3 & 11.6.1
SAQ A Merchants Now Exempt from Requirements 6.4.3 and 11.6.1 Under Certain Conditions
PCI SSC exempts SAQ A merchants from PCI DSS 6.4.3 & 11.6.1 if they confirm their website is not susceptible to script-based attacks impacting e-commerce.
7 Cybersecurity Risks to be Prepared for in 2025
Discover the top 7 cybersecurity risks of 2025 and how PCI DSS v4.0 compliance can protect your organization from costly attacks and risks.
Protect Your Holiday Revenue from E-Skimming Attacks
Protect your e-commerce site from e-skimming this holiday season.
Webinar Recap: <75 Days Left Until PCI DSS 6.4.3 & 11.6.1 Gets Enforced
Learn how to meet PCI DSS v4.0, 6.4.3 & 11.6.1 requirements before April 1, 2025
Achieve Compliance with DataStealth’s New No-Code Solution Ahead of PCI DSS v4 March 31st Deadline
Simplify PCI DSS 6.4.3 & 11.6.1 compliance with DataStealth's no-code, real-time monitoring solution effortlessly.
Why Script-based Solutions Fall Short for PCI DSS 6.4.3 and 11.6.1
Discover why script-based solutions fall short for PCI DSS 6.4.3 & 11.6.1 compliance and how DataStealth provides a robust alternative.
Understanding Virtual Skimmers: A Hidden Threat to E-Commerce Security
In the digital age, where online transactions are commonplace, the security of e-commerce platforms is paramount. One of the lesser-known but increasingly prevalent threats to these platforms is the virtual skimmer. Similar to physical skimmers on ATMs or gas pumps, virtual skimmers stealthily steal credit card data, but they do so in the digital realm.
A Data Security Platform for the Full Data Security Journey
DataStealth’s enterprise-ready platform for data discovery, classification, and protection—no code changes, APIs, or user disruptions.
Encryption vs Masking vs Tokenization for Data
Learn the differences between encryption, data masking, and tokenization, and discover how to protect sensitive data effectively.
Securing Your Data in 2024: Emerging Trends in Data Security Platforms
Discover 2024's key data security trends, including AI, blockchain, quantum computing, and zero trust, to safeguard your sensitive information.
Data health: Protecting the heart of your business
Safeguarding your business data requires proactive measures. Learn how DataStealth can help secure your data.
Hyatt Brothers Aim to Build Their Next Big Thing with Majority Ownership of DataStealth
Michael and Richard Hyatt invest in DataStealth, a growing cybersecurity firm, aiming to scale its data protection solutions for banks and hospitals.
The Imperative Of Data Discovery And Classification In The Enterprise
Learn how data discovery and classification boost security, compliance, and efficiency for modern enterprises navigating complex data landscapes.
Data: The New Oil with a Twist!
Data breaches are the new oil spills. Learn how to protect your business and personal data from devastating leaks.
ICYMI: Key Takeaways from the PCI SSC Community Meeting
Stay ahead of PCI 4.0 with insights on requirements 11.6.1 & 6.4.3, and tips for compliance without disrupting business operations.
PCI Compliance for Large Enterprise Companies
PCI Compliance protects your business, prevents data breaches, and fosters trust with customers and partners. Learn why it’s essential for large enterprises.
Unmasking the Hidden Data Dilemma
Learn how to protect your company's data, identify sensitive information, and meet compliance requirements in today’s cybersecurity landscape.
We are a Great Place to Work® in Canada!
DataStealth proudly announces its certification as a Great Place to Work® in Canada, highlighting trust, innovation, and a customer-first culture.
Cybersecurity and Einstein's Definition of Insanity
Learn why securing sensitive data is key to preventing breaches, beyond traditional tactics like firewalls and MFA. Protect data directly with modern strategies.
4 Data Security Best Practices You Should Know
Discover 4 essential data security practices to protect your business from cyber threats and ensure compliance in today’s digital landscape.
Canada's Regulators: The Importance Of Data Protection For Digital ID
Canada's privacy regulators stress the need for robust data protection in digital ID systems to ensure trust, transparency, and security for citizens.
How to Find and Meet Your PCI Compliance Level
Use our guide to see what PCI DSS compliance level you need to follow and how to meet those requirements.
96% Of Companies Report Insufficient Security For Sensitive Cloud Data
96% of organizations lack sufficient security for sensitive cloud data, highlighting risks like dark data and third-party breaches.
October Is Cyber Security Awareness Month - 6 Must-Know Tips
Protect your data this Cybersecurity Awareness Month with these 6 essential tips and tools for better online security.
AIDA: The Unfinished Third Act
Explore AIDA, Canada’s AI regulation law, focusing on business obligations and pending regulations that will shape its enforcement.
Cloud Security Compliance Checklist
Ensure cloud security compliance with this checklist for policies, reporting, automation, and asset discovery.
How Well Do You Know Québec's Law 25 (formerly Bill 64)?
Learn key insights about Québec Law 25, including privacy officer roles, breach notification, and biometric database regulations under the new law.
What Is The Role Of A CISO In Compliance?
Challenges and changes with PCI DSS v4.0, privacy regulations, and compliance strategies.
How to Prepare for New PCI DSS 4.0 Requirements
Learn about upcoming PCI DSS 4.0 changes and how to prepare for compliance across your enterprise. Get ready for the March 2024 updates.
Defining Data Privacy, Residency and Sovereignty In The Cloud
Explore the complexities of data sovereignty, residency, and digital sovereignty in the cloud and how sovereign clouds play a key role in achieving digital autonomy.
Beyond The Cloud
Discover how AWS drives next-gen banking with secure cloud solutions, advanced analytics, and AI for enhanced customer experiences and business growth.
Knocking Data Sovereignty Fears On The Head
Learn how businesses can manage data sovereignty across borders, ensuring compliance and agility in a complex regulatory environment.
Cloud Storage Data Residency: How To Achieve Compliance
Explore cloud storage data residency issues and how to navigate compliance with local regulations and sovereignty laws.
Encryptogeddon Is Coming For Us All
Quantum computing could break current encryption systems, leaving digital assets and personal data vulnerable. Here's what you need to know.
Canada’s New Federal Privacy Bill C-27—Summary of Significant Impacts
Explore Canada's Bill C-27, focusing on privacy updates, penalties, AI regulations, and new provisions compared to Bill C-11.
Proposed Federal Privacy Law Includes Protection Of Minors’ PII
Bill C-27 proposes stronger privacy protections for minors and clarifies AI regulations, enhancing privacy and responsible AI development in Canada.
RSA Conference: Most Dangerous Cybersecurity Threats In 2022
Explore the top five cybersecurity threats in 2022 as outlined by SANS Institute, including cloud, MFA, and satellite vulnerabilities.
Five Things To Know About Test Data When Developing Financial Software
Explore 5 essential things to know about test data in financial software development, from masking to synthetic testing and multi-layered solutions.
Why Data Protection is the First Step to Mitigating Insider Risk
Insider threats grow with remote work; data protection through encryption and tokenization is key to mitigating these risks.
Top 10 Cloud-Based Cybersecurity Threats Organizations Face Today
Discover the top 10 cloud cybersecurity threats businesses face, from compromised credentials to insider risks, and how to mitigate them.
Security Lessons From A Payment Fraud Attack
Learn from Brightwell’s $2.5M fraud attack during COVID-19 and key steps to prevent similar payment fraud in fintech.
New PCI DSS v4.0 Receives Kudos For Flexibility
Discover how PCI DSS v4.0 introduces flexibility, customization, and zero-trust principles, reshaping security standards for businesses worldwide.
PCI DSS 4.0 And The Need For Continuous Data-centric Security
Explore how PCI DSS 4.0 emphasizes continuous data-centric security for better compliance and sustainable payment card data protection.
See DataStealth in Your Environment
Book a demo and technical walkthrough to see how DataStealth fits your architecture.