TUNGKOL SA EPISODE NA ITO
Non-production environments are now the #1 compliance blind spot – and regulators are hitting companies with $80M+ fines for breaches originating in dev/test systems.
Pradeep Dhonipuri | Datagaps reveals the exact strategies global enterprises are using to eliminate real customer data from lower environments while staying fully compliant and accelerating innovation.
This session is pure gold if you’re still copying production data into dev/test/QA.
What yoWhat you’ll learn:
🔹 Why traditional masking is no longer enough (and when synthetic data is mandatory)
🔹 Real $80M breach example from a major financial institution
🔹 How GDPR, CCPA, HIPAA now apply equally to non-prod – no exceptions
🔹 Masking vs Synthetic: When to use which (with decision framework)
🔹 AI-powered synthetic data generation that preserves referential integrity & statistical realism
🔹 Live customer stories: Moving from 100% masking → “synthetic-first” strategy
🔹 Testing tomorrow’s threats today: AML, fraud patterns, adversarial AI resilience
🔹 How synthetic data lets you inject bad/biased data to stress-test AI models safely
Walk away with a complete roadmap to make your test data 100% compliant, realistic, and future-proof.u’ll learn:🔹 Why traditional masking is no longer enough (and when synthetic data is mandatory)🔹 Real $80M breach example from a major financial institution🔹 How GDPR, CCPA, HIPAA now apply equally to non-prod – no exceptions🔹 Masking vs Synthetic: When to use which (with decision framework)🔹 AI-powered synthetic data generation that preserves referential integrity & statistical realism🔹 Live customer stories: Moving from 100% masking → “synthetic-first” strategy🔹 Testing tomorrow’s threats today: AML, fraud patterns, adversarial AI resilience🔹 How synthetic data lets you inject bad/biased data to stress-test AI models safelyWalk away with a complete roadmap to make your test data 100% compliant, realistic, and future-proof.
Ready to eliminate production data from your lower environments forever?
Request a free demo → https://www.datagaps.com/request-a-demo/
Contact: contact@datagaps.com
