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Monday, March 23, 2020

AI Automation Tools Enable Data Privacy Compliance

Enterprise data privacy compliance has created a significant operational burden for many organizations. Now CIOs and CTOs are adopting automation tools that can ease the task of ensuring that their employees follow the relevant domestic and international requirements.

Over 40 percent of privacy compliance technology will rely on artificial intelligence (AI) solutions by 2023 -- that's up from 5 percent today, according to the latest worldwide market study by Gartner.

"Privacy laws, such as General Data Protection Regulation (GDPR), presented a compelling business case for privacy compliance and inspired many other jurisdictions worldwide to follow," said Bart Willemsen, research vice president at Gartner.

Data Privacy Compliance Market Development

More than 60 jurisdictions around the world have proposed or are drafting post-modern privacy and data protection laws. Canada, for example, is looking to modernize its Personal Information Protection and Electronic Documents Act (PIPEDA), in part to maintain the adequacy standing with the EU post-GDPR.

Privacy leaders are under pressure to ensure that all personal data processed is brought in scope and under control, which is difficult and expensive to manage without technology aid. This is where the use of AI-powered applications that reduce administrative burdens and manual workloads come in.

At the forefront of a positive privacy user experience (UX) is the ability of an organization to promptly handle subject rights requests (SRRs). SRRs cover a defined set of rights, where individuals have the power to make requests regarding their data and organizations must respond to them in a defined time frame.

According to the 2019 Gartner Security and Risk Survey, many organizations are not capable of delivering swift and precise answers to the SRRs they receive.

Two-thirds of survey respondents indicated it takes them two or more weeks to respond to a single SRR. Often done manually as well, the average costs of these workflows are roughly $1,400.

"The speed and consistency by which AI-powered tools can help address large volumes of SRRs not only saves an organization excessive spend, but also repairs customer trust," said Mr. Willemsen. "With the loss of customers serving as privacy leaders’ second-highest concern, such tools will ensure that their privacy demands are met."

According to the Gartner assessment, through 2022, privacy-driven spending on compliance tooling will rise to $8 billion worldwide.

Gartner expects privacy spending to impact connected stakeholders purchasing strategies, including those of CIOs, CDOs and CMOs. Today’s post-GDPR era demands a wide array of technological capabilities, well beyond the standard Excel spreadsheets of the past.

Outlook for Data Privacy Automation Applications

"The privacy-driven technology market is still emerging," said Mr. Willemsen. "What is certain is that privacy, as a conscious and deliberate discipline, will play a considerable role in how and why vendors develop their products."

Gartner analysts predict that as AI turbocharges privacy readiness, by assisting organizations in areas like SRR management and data discovery, we’ll start to see more AI capabilities offered by service providers.