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The Role of AI and CDO in Data Protection

With this rapidly changing technology world, it’s time for CIOs to prioritize data privacy. The data privacy approach can be widely classified into – attribute-based access control and user behavioral access machine learning.

The importance of strengthening the company’s defense mechanisms is a no-brainer. Data protection is bound to become more problematic without proper defense mechanisms. CIOs should now use artificial intelligence (AI) and automation to develop new and effective detection and response mechanisms.

AI can help companies identify, understand and analyze historical data-based trends. For services offered, served customers and employee behaviour, this trend can be analyzed. The results obtained are then used to effectively plan the strategy for data protection.

Regardless of the size of the organization, it may turn out to be a herculean task to manage data protection controls, volumes of logs and alerts churned out. Each organization also has its own rules and policies that require constant fine-tuning. This is when the gap can actually be bridged by automation and AI.

For enterprise IT, data protection is definitely the most important aspect. It should not, however, come at the expense of agility in business. CIOs and CISOs should ensure that controls are implemented solely on the basis of business needs rather than market trends.

Chief Digital Officer (CDO) has become a talking point in business for the past 2-3 years as an emerging role. I strongly feel, however, that organizations will not need a CDO, but will need another type of CDO or CDPO-the chief data protection officer. The future will see DPOs that could be hierarchically closer to top management as they report under GDPR or DPA under PDPA 2018 to the supervisory authority. This definitely affects the CIO’s and CISO’s role. Earlier, chief digital officers were more aligned with the head of the business, but the board and management will be accountable for this new CDO.

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