Generative AI tools offer opportunities for boosting productivity across various industries – they can automate and expedite tasks that once demanded considerable time and effort. The result is an enhancement in overall efficiency, enabling professionals to focus on higher-level aspects of their work and fostering innovation.
To those doubters about the significance of the impact generative AI tools have on productivity, its impact on productivity could add trillions of dollars in value to the global economy. In fact, according to research by McKinsey Digital, generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually.
However, this surge in productivity is accompanied by a noteworthy concern: the inadvertent exposure of sensitive data. Generative AI systems learn from the data they are trained on, which introduces the risk of unintentionally including confidential or proprietary information in the input data used for generating outputs. Such data mishandling can lead to breaches of confidentiality, data leaks and potential legal and reputational repercussions.
To help manage this risk, Sonet.io, a company that helps IT leaders accelerate secure onboarding and management of remote workers, announced support for data loss protection, monitoring and observability capabilities for the generative AI era.
Sonet.io detects the ingress and egress of sensitive data into generative AI tools. This capability encompasses various actions, including data downloads, uploads, copying, pasting and typing. By exercising this oversight, organizations stand to harness the efficiency dividends offered by generative AI while upholding the imperviousness of their corporate data and intellectual property.
Sonet.io also introduces a controlled gateway for access to these tools, enabling organizations to judiciously oversee and intervene in potential breaches. The platform gives administrators the ability to enact fine-grained content inspection policies, effectively blocking any attempts to input sensitive data into generative AI tools.
As part of this strategy, commonplace data can continue to flow while sensitive information, such as credit card data, personally identifiable details, cryptographic keys and proprietary source code, remains impeded. Should any unauthorized actions occur, internal administrators are instantly apprised through real-time notifications, thereby ensuring swift response to potential threats.
Additionally, the platform offers the recourse of screen recordings for forensic purposes, allowing for in-depth analysis if required.
“Generative AI tools can provide significant increases in productivity, but also come with significant risk as workers inadvertently input sensitive data into them," said Sonet.io CEO Dharmendra Mohan. “Some organizations have addressed this by completely shutting down access to generative AI, putting them at a disadvantage against organizations that are increasing worker efficiency with these tools. By restricting the ability to input sensitive data, organizations can realize the cost-benefits of AI tools, without neglecting data security.”
Edited by
Alex Passett
