Data Privacy

Jun 30,2026

The Hidden Risk of AI-Built Apps Leaking Sensitive Data

Thousands of AI-built apps are exposing sensitive data online, raising major cybersecurity and governance concerns for businesses.

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Jun 30,2026

AI Is Reshaping Data Security – But Most Organisations Aren’t Ready

AI is accelerating data risk and exposing weak security foundations. Learn the 4 steps organisations need to make data security AI-ready.

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Jun 29,2026

AI Data Security in the Workplace: Best Practices Every Enterprise Should Follow

Generative AI is rapidly changing how employees work. Hence, AI Data Security should be a part of every organisation’s cyber risk mitigation plans and training. From drafting emails and summarizing meetings to analyzing documents and automating routine tasks, AI is becoming embedded across the enterprise. While these tools improve productivity, they…

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Jan 28,2026

Data Privacy Day 2026: Why Trust, Regulation, and Accountability Now Define Business Risk

Data Privacy Day reveals how rising GDPR fines and shifting consumer behavior are redefining data privacy as a core business risk, not just a compliance issue. Data Privacy Day is no longer a symbolic moment on the compliance calendar. It reflects a fundamental shift in how customers, regulators, and enterprises view…

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Nov 26,2025

Private AI Made Simple: How to Keep Your Company’s Data Safe

This beginner-friendly guide explains how companies can use Private AI to protect sensitive data, enforce compliance, and safely unlock AI-powered innovation in today’s enterprise. Artificial Intelligence is rapidly transforming business workflows, yet it also brings new security and compliance challenges. Employees may adopt AI tools outside the oversight of IT…

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Oct 27,2025

AI Security in Action: How Every Industry Is Protecting Data and Building Trust

Unmonitored AI systems can expose sensitive data, violate compliance laws, or generate outputs that compromise trust. As a result, industries are shifting their focus from AI performance to AI security and governance. The question is no longer whether to use AI, but how to use it safely. Finance: Protecting Data…

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Oct 10,2025

How to Apply DSPM to AI Environments: A Practical Guide for Enterprises

DSPM stands for Data Security Posture Management. It is a cybersecurity approach that helps organizations find, classify, and protect sensitive data across cloud and on-premises environments. DSPM gives security teams real-time visibility into where data lives, who can access it, and how it’s being used, helping reduce risks like data…

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Oct 10,2025

The Hidden Dangers of AI: 5 Enterprise Risks You Can’t Ignore

The rise of AI brings a new challenge: applying the same security and compliance safeguards that enterprises already expect from their IT systems. The question isn’t whether AI brings risks, but whether your organization is prepared to manage them. 1. Shadow AI Employees often turn to unapproved AI tools like…

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Oct 02,2025

Five Critical AI Risks Facing Enterprises in 2025

With rapid adoption comes a growing set of risks that can’t be ignored. For enterprises, overlooking these risks doesn’t just mean inefficiency; it means legal exposure, financial penalties, and long-term reputational damage. This blog explores the top 5 AI risks enterprises must monitor, and how Pragatix delivers the governance, security,…

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