Gartner announces five privacy trends from today to 2024

To 2024 year , The global 75% The personal data of the population will be protected by privacy laws .

Contribution | Gartner

Produce | CSDN Cloud computing

according to Gartner The study of , With the increasing number of privacy regulations worldwide , There are five major privacy trends that organizations should focus on , To meet the challenges of protecting personal data and complying with regulatory requirements .

Gartner Vice president of research Nader Henein Express ：“ according to Gartner The forecast , To 2024 end of the year , The global 75% The personal data of the population will be protected by modern privacy laws . This regulatory progress has become the main driving force for enterprises to strengthen privacy protection . As most enterprises have not yet formed a special privacy protection practice , The responsibility for privacy protection falls to the technicians , To be more exact , To the security team led by the chief information security officer .”

Next two years , Dozens of jurisdictions will be implementing privacy laws , Therefore, many enterprises and institutions believe that it is necessary to start the privacy work plan immediately . according to Gartner The forecast , To 2024 year , The average annual privacy budget of large business organizations will exceed 250 Thousands of dollars .

Gartner Released the current to 2024 Five privacy trends in , It can promote the formation of enterprise organizations and improve privacy protection practices . Within the organization , Leaders in all business areas should actively disseminate these trends , It is easier to reach a consensus 、 Create greater value and significantly reduce the time to value .

Data localization

In a borderless digital society , It seems against common sense to try to control the country where the data are located , However, many new privacy regulations directly or indirectly put forward such requirements .

Safety and risk management leaders face a regulatory environment with different scales , Different localization strategies need to be adopted in different regions , This makes enterprises adopt a new cloud service design and acquisition method suitable for all service modes to deal with the strategic risks of transnational business . thus , Data localization planning will become the primary task in cloud service design and acquisition .

Privacy enhanced computing technology

Conduct data processing in untrusted environments such as the public cloud, and share and analyze data with multiple parties , It has become the foundation for the success of enterprises . With the increasing complexity of the analysis engine and Architecture , The manufacturer must add privacy protection function to the design in advance , Instead of adding this feature after the product is finished . The enterprise has AI The model is applied to many fields , At the same time, we must be right AI Model training , This brings new hidden dangers to privacy protection .

Different from the common static data security control , Privacy enhanced Computing （PEC） Data in use can be protected . therefore , Organizations can perform data processing and analysis activities that previously could not be achieved due to privacy or security concerns .Gartner forecast , To 2025 year 60% Will use at least one PEC Technology to support analysis 、 Business intelligence and / Or cloud computing applications .

AI government

Gartner A survey of ,40% There are many enterprises and institutions AI Invasion of privacy , Only a quarter of them are malicious acts . When a business organization processes personal data , Whether with the help of pre integrated in the manufacturer's products AI modular , Or an independent platform managed by the internal data science team , There are obvious risks of privacy disclosure and personal data abuse .

Henein Express ：“ Currently operating in the enterprise AI Model , Mostly integrated into larger solutions , There is hardly any monitoring means to evaluate the relevant privacy impact . These embedded AI Competencies are used to track employee behavior 、 Assess consumer sentiment and build a “ intelligence ” product . Besides , The data currently input into these learning models will also have an impact on decision-making years later . future , When AI When regulatory regulations are more mature , It is almost impossible for enterprises to clear up in AI Collected when the governance plan is absent ‘ Toxic ’ data .IT Leaders will have to abandon the entire system , This will cause great losses to the enterprise and its own status .”

Centralized privacy user experience

Consumers are increasingly demanding the rights of data subjects , Expectations of transparency are also rising , Make enterprises pay more attention to creating a centralized private user experience （UX）. Far sighted enterprises are well aware that they will inform 、cookie、 Consent management 、 Subject claims （SRR） The advantage of integrating all the components of the privacy user experience, such as processing, into a self-service portal . This approach is not only for key user groups 、 Convenience for customers and employees , It also saves a lot of time and cost .Gartner forecast , To 2023 year ,30% Consumer oriented organizations will launch self-service transparent portals that support preference and consent management .

The remote mode evolved into “ Everything is mixed ”

As individuals adopt more mixed interaction modes in their work and life , track 、 Monitoring and other personal data processing activities will become more frequent , And the privacy risk has become extremely serious .

The completely mixed way of interaction has a lot of impact on privacy . meanwhile , In various industries and fields , Employees' productivity and satisfaction with work life balance have also improved . Enterprises should adopt a people-oriented approach when dealing with privacy issues , Minimize the use of monitoring data , It should be used with a clear purpose , For example, improve the employee experience by eliminating unnecessary friction , Or reduce the risk of burnout by sending health risk signals to employees .