Protecting Data Privacy with AI as a Service

Organizations need to utilize tools such as data masking and anonymization tools, encryption tools, and auditing and access control tools in order to ensure that their data is protected when using AI as a Service. Learn more about how organizations can protect thei

Protecting Data Privacy with AI as a Service

Organizations can ensure that their data is safeguarded when using AI as a Service by utilizing a range of tools, such as data masking and anonymization tools, encryption tools, and auditing and access control tools. These tools can help protect personal data and guarantee that only authorized people or processes can access it. Eliano Marques, executive vice president of data and AI at Protegrity, a data security company, stated that AI is used to speed up the data identification process and enhance the privacy of customer data. AI is especially useful for semi-structured data, documents, and images.

For instance, AI can be leveraged to guarantee compliance with a customer's right to be forgotten. This implies that a company can make sure that a certain group of people are truly “forgotten” throughout its data ecosystem, even down to the level of a contract document in PDF. Jared Stern, executive director of Uplift Legal Funding, told CMSwire that AI is used to manage sensitive data, guaranteeing the highest levels of customer privacy as automation becomes more common. Many companies are turning to the use of AI since the system can handle huge amounts of data and streamline interactions.

AI also protects data using behavioral models to identify malware and has automated measures to counter these attacks. Organizations should adhere to proven best practices and be aware of future strategies in order to reap the benefits of AI-powered applications while preserving the trust of their customers and their compliance with data privacy laws. It is essential to have an accountability structure in place to make sure that potential data privacy violations are identified and addressed as soon as possible and that steps are taken to prevent a repeat of the error. Additionally, organizations should use a design approach to privacy in order to overcome any limitations between AI and data privacy.

AI algorithms can be used as allies in protecting data privacy since they can identify multiple and simultaneous activities on any given service or platform. To ensure the alignment of AI and privacy, organizations need to have a clear idea of where and how AI and machine learning are being used in their organization.