Big data, Data privacy and Identity Theft

How to Protect Privacy and Build Secure AI Products

Security Affairs

JULY 18, 2024

The Privacy Paradox of AI Data privacy is crucial for AI security. AI systems depend on vast amounts of confidential and personal data, making its protection essential. Breaches can lead to identity theft, financial or IP loss, and eroded trust in AI.

Data privacy

Data privacy Technology Identity Theft Risk

Episode 212: China’s Stolen Data Economy (And Why We Should Care)

The Security Ledger

APRIL 27, 2021

But those who are ready to be blasé about breaches may be overlooking the role that leaked and stolen data plays in other, more serious problems such as targeted cyber attacks. Waiting for Federal Data Privacy Reform? A Stolen Data Ecosystem Grows In China. Don’t Hold Your Breath.

CISO

CISO Data breaches Cyber Attacks Big data

Managing Digital Security as Risk and Complexity Rise

Thales Cloud Protection & Licensing

JUNE 6, 2018

Gartner defines digital risk management as “the integrated management of risks associated with digital business components, such as cloud, mobile, social, big data, third-party technology providers, OT and the IoT.” Every data privacy regulation we’ve seen calls for a similar set of best practices.

Risk

Risk Digital transformation IoT Identity Theft

Cyber Security Informer

How to Protect Privacy and Build Secure AI Products

Episode 212: China’s Stolen Data Economy (And Why We Should Care)

Managing Digital Security as Risk and Complexity Rise

Stay Connected