Securing Data with AI-as-a-Service: A Comprehensive Guide for Organizations

Organizations can leverage the power of Artificial Intelligence (AI) to ensure that their data is secure and compliant with government and industry standards. Learn how to use reliable providers, establish a clear strategy for using AI, and employ secure developmen

Securing Data with AI-as-a-Service: A Comprehensive Guide for Organizations

Organizations can take advantage of the power of Artificial Intelligence (AI) to guarantee that their data is secure and compliant with government and industry regulations. AI can be used to automate labor-intensive documentation processes, detect data breaches, and respond to threats more quickly than traditional technologies. To ensure that data is safe when using AI, organizations should use a reliable and reputable provider, create a clear strategy and roadmap for how AI will be used, and employ secure development approaches such as DevSecOps. 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. This is especially true for semi-structured data, documents, and images.

AI can also be used to make sure that the right to be forgotten is respected. For instance, a company can use AI to 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 format. 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 widespread. Brogan Renshaw, director of Firewire Digital, shared with CMSwire that AI protects data using behavioral models to identify malware and has automated measures to counter these attacks. Organizations should only collect the types of data needed to create AI and keep it secure for as long as it lasts. It is important to remember that AI can be misused or wrongly used to expose consumer data.

However, brands have many opportunities to use it responsibly to reduce malware and data breaches, standardize privacy practices, and better comply with privacy regulations such as the GDPR. Algorithms provide the rules and context for AI to start classifying and analyzing data, providing structure as AI learns. By employing secure development approaches such as DevSecOps, companies can protect their AI software systems from malicious attacks.