An AI and ML-driven approach can help protect against AI based privacy breaches

DR HARSHA THENNARASU
CHIEF IT & CYBER SECURITY ADVISOR, HKIT SECURITY SOLUTIONS

“Privacy legislation is the major threat for any business today, as there are huge penalties and legal consequences directly or indirectly involved. Hence classification of data into critical and non-critical categories along with Personally Identifiable Information is most essential and then securing them with strong encryptions along with MFA-Multi Factor Authentication processes.

PREVENTING COMMON HUMAN ERRORS

Re-structuring the entire organization by “Security by Design” and “Security by Culture” would mitigate maximum security threats and attacks followed by regular cyber security training with case studies. In most of the organization, they have set cyber security training cycles annually, which is not going to help anymore as there are emerging daily-basis threats and attacks using AI and ML. How can organizations mitigate human errors even after state of art cyber technologies are being deployed? The training should be applicable from MD to entry level employees.

SHARED RESPONSIBILITY IN DATA PRIVACY

The shared responsibilities are the biggest threat for any organization. To overcome these challenges, by adhering to strict legal agreements and controls, one can put more pressure and make third parties more vigilant on other processors and sub processors, and of course sub controllers too. The need of the hour is for more technology driven systems and solutions in the next five years. More AI and ML driven approaches can help to defend from AI based privacy compromises and sophisticated attacks.”