AI has features that complicate data privacy and can make people vulnerable to data exploitation by third parties.
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Synopsis
Nearly 80% of company executives say they’re deploying AI and seeing value from it. Recently, AI has come up in discussions about cybersecurity, information, and data privacy.
The big draw of AI is its ability to gather and analyze massive quantities of data from different sources to increase information gathering for its users—but that comes with drawbacks. Many people don’t realize the products, devices, and networks they use every day have features that complicate data privacy, or make them vulnerable to data exploitation by third parties.
In some cases, the data collection performed on these systems, including personal data, can be exploited by businesses to gain marketing insights which they then utilize for customer engagement or sell to other companies.
Topics in this session:
- We will discuss different advances in AI
- We will cover different practical data protection models, including Pseudonymization, anonymization, tokenization, encryption, and more
- We will discuss GDPR and recent approaches for Data Transfer
- We will discuss how to Reduce the Risk of Ransomware.
About the speaker
Ulf Mattsson
Ulf Mattsson - Chief Security Strategist at Protegrity Ulf’s distinguished career includes roles as Chief Technology Officer at Protegrity, Atlantic BT, and Compliance Engineering, Head of Innovation at TokenEx, IT Architect at IBM. His achievements include development of Industry Standards, 70 issued US Patents, and expertise in aspects of data, privacy, cloud, security and robotics.
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