Browsing Tag
Data Security
21 posts
Mobile App Security in HealthTech: Safeguarding Patient Data Against Cybersecurity Threats
HealthTech apps need secure architecture, encrypted data, strong access controls, continuous testing, and post-launch monitoring to protect patient information.
Confidential Computing on CPU and GPU Systems: How AI Data Centers Protect Data in Use
Modern AI runs on shared, high-performance infrastructure that processes enormous volumes of sensitive data and valuable model weights.…
How To Build Ransomware-Resilient AI Data Pipelines: A Practical Guide for Modern Enterprises
Modern enterprises depend on AI data pipelines for analytics and automated decision-making. As these pipelines become more integrated…
82 Chrome Extensions Found Selling User Data, 6.5 Million Users Affected
LayerX research finds 82 Chrome extensions collecting and selling user data, affecting at least 6.5 million users through disclosed but concerning practices.
The Race to Quantum-Proof the Internet Has Already Begun
The race to quantum-proof the internet is underway as experts warn of “harvest now, decrypt later” risks and slow migration to post-quantum security.
Data Breaches in 2026: What’s old, what’s new?
Data breaches in 2026 explained, new cyber threats, AI driven attacks, common breach causes, and practical security strategies for individuals and businesses
How to Securely Edit and Redact Sensitive PDFs: A Cybersecurity Guide
PDF security guide covering redaction, metadata risks, compliance standards, and safe editing of password-protected files to prevent data leaks.
What Interoperability in Healthcare Really Means for Security and Privacy
Healthcare interoperability improves care but expands attack surfaces, increasing data exposure, compliance risk, and security challenges across connected systems.
Best Tools for Test Data Management to Accelerate QA Teams in 2026
Test Data Management tools for 2026 ranked for QA and DevOps teams, comparing speed, self service, masking, CI/CD fit, and enterprise readiness.
Most Engagement Data Is Compromised and That’s a Major Security Problem
Most engagement data is compromised by bots and spoofing. Datavault AI treats engagement as a security problem, verifying real human actions at the source.