MineOS, an enterprise data privacy and governance platform, announced this week the introduction of their AI Asset Discovery and Risk Assessment module aimed at giving companies visibility into artificial intelligence’s inner workings for greater oversight of these powerful yet obscure technologies.
Mine co-founder and CEO Gal Ringel made this announcement shortly after major AI developments like ChatGPT and Gemini created an increased need for oversight, according to her interview with VentureBeat. AI governance has become a priority since ChatGPT’s release, sparking major privacy inquiries into GenAI technologies as well as EU legislation passing an AI Act, according to Ringel.
While AI systems like large language models (LLMs) offer great benefits to users, their inner workings often remain invisible. This has given rise to mounting concerns regarding potential harm in regards to security, ethics and privacy.
The AI Governance Gap
Enterprises have struggled to implement frameworks and solutions that allow them to effectively manage AI development and use. Unfortunately, such frameworks and solutions have taken longer than anticipated to come online.
“AI opacity presents organizations with an unacceptable level of uncertainty and risk that we aim to mitigate,” Ringel told VentureBeat.
Legislators have taken note of this governance gap, with regulations like the EU AI Act mandating new assessment requirements. Yet creating and implementing controls remains a difficult challenge for many companies.
MineOS uses system scans and email metadata analysis to illuminate nearly all data systems and AI tools used within an organization, both third-party and proprietary ones.
Companies can utilize this to map out their AI landscape and adhere to any newly implemented regulations.
“Our email discovery explores the metadata of emails to detect additional data systems,” according to Ringel. If an employee is using ChatGPT or Grammarly as well as AI-powered systems like Grammarly there may be evidence in their email chain and we can confirm their usage without looking at content within emails themselves.
MineOS customers can leverage AI systems discovered to determine risks, create governance rules tailored to new laws, and conduct audits to demonstrate compliance – providing seamless AI governance.
MineOS is entering an increasingly competitive environment, competing with tech titans such as IBM, Microsoft and Google who are rapidly expanding their AI governance capabilities.
However, the company believes its focus on privacy gives them an advantage in AI governance. “Data privacy should and will remain at the core of AI governance,” according to Ringel. As a product and company that has taken an innovative approach in automating critical data governance exercises like mapping has given us an incredibly strong platform from which to manage AI governance.
MineOS recently secured $42.5 million from leading investors like Google’s AI fund Gradient Ventures, in hopes that its privacy-first approach can make it the leader in illuminating AI “black boxes” for enterprises globally. But in such an uncertain race as that of AI governance development, nothing is certain.
