Report from OneTrust: businesses continue deploying AI even after security incidents, focusing on governance
A report from OneTrust found that businesses are not slowing AI deployment despite AI security incidents (data leaks, agent errors), but are focusing investment on governance and the security of autonomous agents.
A new report from OneTrust, a provider of tools for data protection and AI security, found, according to the company, that a number of businesses experienced problems related to AI deployment over the past year - including intellectual property leaks and cases in which AI agents improperly handled, delivered or deleted data. Despite these incidents, most businesses are neither slowing nor pausing their AI deployments, according to the company report.
According to Blake Brannon, chief innovation officer at OneTrust, pressure to accelerate AI adoption comes from the top - company boards are asking how the company is using AI to transform its operations, products and services, and how it will compete with rivals and startups. Brannon said that, according to a widely held expectation, the number of AI agents acting within companies will exceed the number of human employees within the next two years. In his view, traditional governance processes - designed for an era when actions were performed by a human or deterministic software over a matter of weeks - cannot provide the necessary oversight when responses are needed within seconds.
Brannon went on to describe what he called two principles that should shape the new governance architecture: the control mechanism must be independent of the AI system itself because, in his view, the model cannot be fully trusted not to circumvent the restrictions placed on it; and governance must focus on the moment when an AI system performs a specific action - reading data, sending an email, deleting a record - rather than trying to understand how the model reached its decision. Another reason is the fragmentation of deployed tools, with different company departments (marketing, customer support, development) using different models and providers.
The rest of the article was not available; details can be found in the source article.
Why it matters
The findings suggest that companies view AI security risks as an impetus to build new control mechanisms for autonomous agents rather than as a reason to slow down. According to the quoted representative of OneTrust, these agents are expected to outnumber human employees in companies within two years - this is relevant to teams responsible for compliance and data security, not to ordinary users of AI tools.
Relevant practical impact
What this means
For a business
According to a report from OneTrust, businesses are not slowing AI deployment despite AI security incidents (data leaks, improper handling of data by agents), but must invest in independent governance because traditional processes designed for human-controlled actions are insufficient for autonomous agents acting within seconds.
Risks and complianceCheck the original
Event sources
only one source so far · 1 publisher, 1 independent. We count feeds from the same owner only once.