How AI is Transforming Data Governance in today’s World

How AI is Transforming Data Governance? Consumers are becoming more aware of their rights, making data governance more relevant across organizations.

Data governance is a set of standards, metrics, and processes that allow organizations to responsibly use consumer data. Organizations need to make sure that when they are processing an individual’s data, it must be secure.

Today, organizations are looking for the holy grail of solutions that can solve their problem of data governance. In order to do so, they are investing heavily in AI-based solutions in order to maximize business value by extracting and analyzing large data stores and enhancing the overall productivity of organizations.

The reason that AI is being incorporated more and more in almost every operation is its efficiency. Organizations have the responsibility of improving the quality, accuracy, and reliability of the data they hold while also ensuring the security and protection of this data. Due to this, data governance is one of the most important aspects of any organization.

Proper data governance strategies include:

  1. Ensuring that the data source is reliable
  2. Smooth data integration
  3. Understanding the client’s needs
  4. Complying with government regulations
  5. Boosting data management on the whole while simultaneously
  6. Catering to compliance, security, and legal issues.

The Challenges of Data Governance

Every organization needs to incorporate data governance, but data governance is marred by the following challenges:

  • Exponential Data Growth

Data is growing at an exponential rate, and currently, there are over 800,000 petabytes of data being created every month. This is due to rapid technological innovation in the digital age. Organizations need an infrastructure that will not only manage today’s data but also withstand the test of time.

  • Switch from Legacy Systems

Legacy systems, more commonly known as on-premise systems, are not sufficient enough to meet modern data demands; this has brought forth the paradigm shift of organizations shifting to the cloud. In order to govern all this data, organizations need a framework that will bring together scalability, security, and compliance for the new system.

  • Adherence to Framework

The more access AI has to data sources, the more effective it will be. It is important for the data to be complete and unbiased in order for your framework to perform proper data governance.

The Role of AI in Data Governance

Organizations are looking to improve and simplify their operations every day, and AI may be the key. An AI setup with data governance policies will not only help you keep track of data and manage it for you but also analyze inefficient working practices that can either be revamped or replaced. AI is also used for maintenance purposes. When the quality of the data is affected because of a certain machine, analytics trace the root cause of the problem and notify management.

By adding AI to your operation, organizations can even detect anomalies. Let’s take, for example, a breach in a data center. The organization can train the AI to identify any breach or cyberattack. In order to do so, the solution goes through rigorous machine learning algorithms and is fed large amounts of data. As a result, when a system breach occurs, the AI system can analyze the pattern and alert the authorities before the data is compromised.

All in all, AI can add a lot of automation to the security, compliance, and privacy of data. With the help of AI, organizations can ensure 24/7 protection, which is impossible in the case of relying on human resources.

AI ensures that the data reaches the right intended recipients without getting intercepted by cybercriminals who may employ any type of cyber attack. To stay safe from cybercriminals, many antivirus softwares are using an AI-driven approach to protect your data that allows you to scan, detect & remove threats before they become a problem. Essentially, AI is democratizing data and privacy.


Data governance is paramount for any organization looking to be compliant, and an efficient data governance framework needs to evolve with advancing technologies, the large influx of new data, and emerging privacy laws. Organizations have to think about how they can improve their storage and processing activities and, in turn, track and protect their consumers’ data while adhering to privacy laws.

Incorporating AI into your operations can improve your business and simplify compliance. AI brings about automation, which can enhance the implementation of security and compliance in an organization’s data centers.

About the Author: Anas Baig

With a passion for working on disruptive products, Anas Baig is currently working as a Product Lead at the Silicon Valley based company – He holds a degree of Computer Science from Iqra University and specializes in Information Security & Data Privacy.

Follow me on Twitter: @securityaffairs and Facebook

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Pierluigi Paganini

(SecurityAffairs – hacking, AI)

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Pierluigi Paganini

Pierluigi Paganini is member of the ENISA (European Union Agency for Network and Information Security) Threat Landscape Stakeholder Group and Cyber G7 Group, he is also a Security Evangelist, Security Analyst and Freelance Writer. Editor-in-Chief at "Cyber Defense Magazine", Pierluigi is a cyber security expert with over 20 years experience in the field, he is Certified Ethical Hacker at EC Council in London. The passion for writing and a strong belief that security is founded on sharing and awareness led Pierluigi to find the security blog "Security Affairs" recently named a Top National Security Resource for US. Pierluigi is a member of the "The Hacker News" team and he is a writer for some major publications in the field such as Cyber War Zone, ICTTF, Infosec Island, Infosec Institute, The Hacker News Magazine and for many other Security magazines. Author of the Books "The Deep Dark Web" and “Digital Virtual Currency and Bitcoin”.

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