- By 2024, 75% of the Global Population Will Have Its Personal Data Covered Under Privacy Regulations.
“By year-end 2024, Gartner predicts that 75% of the world’s population will have its personal data covered under modern privacy regulations. This regulatory evolution has been the dominant catalyst for the operationalization of privacy,” said Nader Henein, VP Analyst at Gartner. “Since most organizations do not have a dedicated privacy practice, the responsibility for operationalizing these requirements is passed onto technology, more specifically security, under the umbrella of the CISO’s office.”
With the expansion of privacy regulation efforts across dozens of jurisdictions in the next two years, many organizations will see the need to start their privacy program efforts now. In fact, Gartner predicts that large organizations’ average annual budget for privacy will exceed $2.5 million by 2024.
Gartner identified five privacy trends that support the privacy practice, but also support multiple business leaders across the enterprise, making buy-in more attainable, value more substantial, and time to value far shorter.
Data Localization
In a borderless digital society, seeking to control the country where data resides seems counterintuitive. However, this control is either a direct requirement or a byproduct of many emerging privacy laws.
The risks to a multicountry business strategy drive a new approach to the design and acquisition of cloud across all service models, as security & risk management leaders face an uneven regulatory landscape with different regions requiring different localization strategies. As a result, data localization planning will shift to a top priority in the design and acquisition of cloud services.
Privacy-Enhancing Computation Techniques
Data processing in untrusted environments – such as public cloud – and multiparty data sharing and analytics have become foundational to an organization’s success. Rather than taking a bolt-on approach, the increasing complexity of analytics engines and architectures mandates that vendors incorporate a by-design privacy capability. The pervasiveness of AI models and the necessity to train them is only the latest addition to privacy concerns.
Unlike common data-at-rest security controls, privacy-enhancing computation (PEC) protects data in use. As a result, organizations can implement data processing and analytics that were previously impossible because of privacy or security concerns. Gartner predicts that by 2025, 60% of large organizations will use at least one PEC technique in analytics, business intelligence and/or cloud computing.
AI Governance
A Gartner survey found that 40% of organizations had an AI privacy breach and that, of those breaches, only one in four was malicious. Whether organizations process personal data through an AI-based module integrated into a vendor offering, or a discrete platform managed by an in-house data science team, the risks to privacy and potential misuse of personal data are clear.
“Much of the AI running across organizations today is built into larger solutions, with little oversight available to assess the impact to privacy. These embedded AI capabilities are used to track employee behavior, assess consumer sentiment and build “smart” products that learn on the go. Furthermore, the data being fed into these learning models today will have an influence on decisions being made years down the line,” said Henein. “Once AI regulation becomes more established, it will be nearly impossible to untangle toxic data ingested in the absence of an AI governance program. IT leaders will be left having to rip out systems wholesale, at great expense to their organizations and to their standing.”
Centralized Privacy UX
Increased consumer demand for subject rights and raised expectations about transparency will drive the need for a centralized privacy user experience (UX). Forward-thinking organizations understand the advantage of bringing together all aspects of the privacy UX — notices, cookies, consent management and subject rights requests (SRR) handling — into one self-service portal. This approach yields convenience for key constituents, customers and employees, and generates significant time and cost savings. By 2023, Gartner predicts that 30% of consumer-facing organizations will offer a self-service transparency portal to provide for preference and consent management.
Remote Becomes “Hybrid Everything”
With engagement models in work and life settling into hybrid, both the opportunity and desire for increased tracking, monitoring and other personal data processing activities rise, and privacy risk becomes paramount.
With the privacy implications of an all-hybrid set of interactions, productivity and work-life balance satisfaction have also increased across various industries and disciplines. Organizations should take a human-centric approach to privacy, and monitoring data should be used minimally and with clear purpose, such as improving employee experience by removing unnecessary friction or mitigating burnout risk by flagging well-being risks.
