Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
MineOS, an enterprise data privacy and governance platform, announced this week the launch of a new AI Asset Discovery and Risk Assessment module designed to peer inside the “black box” of artificial intelligence and give companies the visibility they need to govern these powerful but opaque technologies.
The announcement comes on the heels of major AI advances like ChatGPT and Gemini that have sparked rising demand for oversight, according to Mine co-founder and CEO Gal Ringel. “AI governance has been top of mind for the tech world since ChatGPT was released, and I think we’ve seen that chain reaction more widely across society with the major privacy inquiries into genAI tech and the EU passing the AI Act,” Ringel said in an interview with VentureBeat.
While AI systems like large language models (LLMs) can provide tremendous benefits, their inner workings are often invisible to users. This had led to growing concerns around potential harms related to security, ethics, privacy and more.
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The AI governance gap
Broadly speaking, frameworks and solutions for enterprises to effectively govern AI development and usage have been slow to arrive.
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we’re headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature discussions on how generative AI is transforming the security workforce. Space is limited, so request an invite today.
Request an invite
“The problem in many cases with AI opacity is that organizations don’t know they’re being used at all, which adds an unacceptable level of uncertainty and risk that we aim to resolve,” Ringel told VentureBeat.
This governance gap has caught the attention of lawmakers, with regulations like the EU’s AI Act imposing new assessment requirements. But creating and implementing controls remains a challenge for many companies.
Lighting up the ‘black box’
MineOS uses a combination of system scans and analysis of email metadata to detect nearly all data systems and AI tools used within an organ …
Article Attribution | Read More at Article Source
Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
MineOS, an enterprise data privacy and governance platform, announced this week the launch of a new AI Asset Discovery and Risk Assessment module designed to peer inside the “black box” of artificial intelligence and give companies the visibility they need to govern these powerful but opaque technologies.
The announcement comes on the heels of major AI advances like ChatGPT and Gemini that have sparked rising demand for oversight, according to Mine co-founder and CEO Gal Ringel. “AI governance has been top of mind for the tech world since ChatGPT was released, and I think we’ve seen that chain reaction more widely across society with the major privacy inquiries into genAI tech and the EU passing the AI Act,” Ringel said in an interview with VentureBeat.
While AI systems like large language models (LLMs) can provide tremendous benefits, their inner workings are often invisible to users. This had led to growing concerns around potential harms related to security, ethics, privacy and more.
[embedded content]
The AI governance gap
Broadly speaking, frameworks and solutions for enterprises to effectively govern AI development and usage have been slow to arrive.
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we’re headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature discussions on how generative AI is transforming the security workforce. Space is limited, so request an invite today.
Request an invite
“The problem in many cases with AI opacity is that organizations don’t know they’re being used at all, which adds an unacceptable level of uncertainty and risk that we aim to resolve,” Ringel told VentureBeat.
This governance gap has caught the attention of lawmakers, with regulations like the EU’s AI Act imposing new assessment requirements. But creating and implementing controls remains a challenge for many companies.
Lighting up the ‘black box’
MineOS uses a combination of system scans and analysis of email metadata to detect nearly all data systems and AI tools used within an organ …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]