We are witnessing and taking part in the greatest information technology revolution in the history of mankind as our society undergoes the transition from a largely paper-based world to a fully digital world. We have completely embraced this rising technology and pushed computers, software and devices far and wide to the edge of this new-fangled world. Millions and billions of codes, hardware platforms with integrated circuits on computer chips and billions of applications from smartwatches to mainframes form an unbelievably complex information technology infrastructure. At the core of all complexity, information is regularly being processed, stored and transmitted through a global network of associated systems.

From a security and privacy viewpoint, we are concerned not only about the secrecy, integrity and availability of data enclosed in systems deeply embedded in the nation’s critical infrastructure but also about our personal information.

The reason why companies left or disrupted since 2000 is because we have exponential technology applied to business models that are changing every industry. AI is about to transform humanity, not just business. AI is much more than a digital transformation, AI rapidly transforms business. Many enterprise managers are beginning to question its implications for privacy as artificial intelligence (AI) is now used in many of the apps driving the digital workplace.

However, this is not just conjecture. There is high-quality research that shows how deep AI has dug to protect the privacy of customers and app users and, by extension, the enterprise itself. Privacy leaders are concerned with ensuring that all personal data processed is brought within scope and control, which is difficult and costly to manage without technical support. Actually, it is these same ideas that are driving enterprise leaders to act and optimize AI. Speed, scale and automation are the main reasons why AI has become striking to businesses and customers. The amount of data AI can collect is greater than the capacity of human analysts. This is just the way to process big data within a reasonable time. One of the reasons why privacy is a big issue here is because people are not well-known with the measures they can use to guard it, even though there are some principles that can help protect themselves, these comprise ensuring that:

• Data can be deleted at the request of the consumer.
• Consumers have to exit the system
• AI systems can easily be considered

The loss of our privacy is an additional example of how digital technologies like AI can work to our detriment.”

So what is the role of AI in building privacy? Therefore AI will play an important role in privacy and data governance in the present and future.

Privacy caretaker: 

AI bots could offer a “privacy gatekeeper” role in which they can identify, route, and service privacy data requests quickly and more economically than humans, just like they do today. Other AI bots handle increasingly complex requests.

Data categorization: 

Already AI has shown itself to be extremely effective at recognizing and categorizing data that might take a human operator a major amount of time and endeavour to review. This means that most of the existing data businesses can cover under privacy regulations (and therefore need to be available to consumers upon request) can be recognized and collected by AI that continuously sweeps through different data stores. AI plays the role of central manager, consumer and analyst of the data store in other parts of the business. Therefore an AI ‘data bridge’ is inherently suitable for privacy and compliance tasks.

Supervising Sensitive Data:

AI can also offer a role in managing sensitive data. In particular, tasks in which sensitive data may be unnecessarily exposed to a human operator. AIs are tremendously effective at consuming and analyzing data, yet they are basically impermeable to the implications of the information they see. For example, it’s impossible to bribe AI to leak any information. In the future, AI will replace humans to manage large amounts of sensitive data thus keeping the data secure and confidential.

Augmented Tools, Processes

AI is not an Alladin’s lamp and it would be a mistake to anticipate that it will “magically” solve all privacy issues. Nevertheless, it could potentially enhance existing tools and processes in many areas that help mitigate privacy risks.

Recognize Personal Data, Systems and Processes

Before starting anything you must have a record of the data processing map. AI-enhanced by automated data discovery and classification solutions can radically reduce the time required to create and maintain such a map.

Smoothening the progress of Timely Retention

Properly storing or discarding data as agreed in the policies is one of the important aspects of personal data management. Content management technologies can facilitate spotting such data; and when combined with taxonomy, you can computerize workflow and lessen your company’s accountability for storing personal data more quickly than is justified by business requirements and policies.

Protect Systems and Data

AI lends a hand to cyber security by providing solutions for phishing, malware, and intrusion detection and user behaviour analysis.

The Role of Data Quality

Steps that would make data quality assurance within the reach of every company:

• Data cleaning at the place of capture
• When experimenting with supervised machine learning the labelling of the data should be done correctly.
• Databases should be cross-referenced by implementing a numbering system.
• A golden copy of the data should be kept which is collected from outside sources
• Renew or update data to avoid its decay over time.

This change to the Integrated Security and Privacy Guidelines allows organizations to fortify their core security and privacy programs, accomplish greater efficiency in control implementation, promote greater collaboration of security and privacy professionals, and ensure an appropriate level of security and privacy for systems and individuals.