MineOSan enterprise data protection and governance platform, announced this week the launch of a brand new AI asset discovery and risk assessment module that goals to look contained in the “black box” of artificial intelligence and provides firms the transparency they should manage these powerful but opaque technologies.
The announcement follows major AI advances corresponding to ChatGPT and Gemini, which have led to increasing demand for oversight, in accordance with Mine co-founder and CEO Gal Ringel. “AI governance has been at the highest of the agenda within the tech world because the release of ChatGPT, and I believe we’ve got this chain response with the main privacy inquiries about GenAI technology and the EU passing the AI law across the board “Society-wise,” Ringel said in an interview with VentureBeat.
While AI systems like Large Language Models (LLMs) can provide tremendous advantages, their inner workings are sometimes invisible to users. This had led to growing concerns about possible harm to security, ethics, privacy and more.
The Gap in AI Governance
On the entire, frameworks and solutions for firms to effectively manage AI development and use have been slow to come back to market.
“The problem with the opacity of AI in lots of cases is that firms are completely unaware that it’s getting used, which introduces an unacceptable level of uncertainty and risk that we would like to eliminate,” Ringel told VentureBeat.
This governance gap has caught the eye of lawmakers as regulations corresponding to the EU AI Law impose latest assessment requirements. But creating and implementing controls stays a challenge for a lot of firms.
Light 'flight recorder'
MineOS uses a mixture of system scanning and email metadata evaluation to detect nearly all data systems and AI tools utilized in a company, each third-party and internally developed.
This allows firms to map their AI landscapes and comply with latest regulations.
“Our email discovery examines email metadata for things like invoices and login notifications to find additional data systems,” explains Ringel. “If an worker is using ChatGPT or Grammarly or another AI-powered system, there are these email traces of that, and we are able to confirm that without reviewing the content of the emails themselves.”
As AI systems are discovered, MineOS customers can analyze risks, create governance rules tailored to latest laws, and conduct audits to reveal compliance. This end-to-end approach goals to make AI governance seamless.
The competitive landscape
MineOS enters an increasingly crowded field, competing against tech giants like IBM, Microsoft and Google which are rapidly expanding AI governance capabilities.
However, the corporate believes its privacy-focused DNA gives it an edge. “Data protection is and stays a central principle of AI governance,” said Ringel. “As a product and company that takes an modern approach to data protection, our experience in automating critical data governance exercises like mapping has created an incredibly strong foundation for managing AI governance.”
With $42.5 million in funding from top investors corresponding to Google's AI fund, Gradient VenturesMineOS hopes its privacy-first approach will make it a pacesetter in solving the AI “black box” for businesses worldwide. But within the high-stakes race for the long run of AI governance, there are not any guarantees.
