See the AI tools in use.
Identify visible AI applications and assistants, including tools outside the approved list.
Minerva Lantern / AI Governance
Your team is using AI.
Make the data risks visible.
AI assistants can gain access to company information before the rules are clear. Minerva Lantern identifies visible AI use, examines data access and gives leadership a practical starting point for governance.
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What Lantern reveals
Know the tools.
Understand what they can reach.
Connect visible AI use with the company information those tools can access.
Give leadership a practical starting point for approvals, controls and policy.
Understand connected data.
Review access to company mail, files, calendars and code, and assess where sensitive information may be exposed.
Turn findings into decisions.
Review tools to approve, restrict or block, alongside policy gaps and a practical governance roadmap.
From evidence to action
Decisions on today’s tools.
A direction for governance.
Your team needs more than a list of AI applications. Lantern helps leadership decide which uses to support, which need limits and where stronger controls belong.
An AI use and access picture
Bring visible tools, available adoption information and connected data sources into a report leadership can discuss.
Recommendations by tool
Review a focused list of tools to approve, restrict or block, with the risk context behind those recommendations.
A governance roadmap
Connect findings to ISO 42001 and the NIST AI Risk Management Framework, with relevant FINRA guidance considered for financial services clients.
Minerva Lantern
AI governance review
AI tools in use
Approved tools and unapproved adoption.
Connected data
Mail. Files. Calendars. Code.
Recommended decisions
Approve. Restrict. Block.
MNote from Minerva
An AI assistant has access to company files. Confirm the data scope and approval before expanding use.
How Lantern works
Start with actual use.
Build practical guardrails.
Framework Security combines technical observations with your business context, so recommendations reflect how your team needs to work.
01
Understand the business
Discuss AI use, sensitive information and leadership expectations. Agree the identity, email and SaaS sources available for review.
02
Review tools and access
Identify visible AI applications, assess permissions and likely data exposure, and compare those findings with existing policy.
03
Set the direction
Review tool-level recommendations and a governance roadmap with Framework Security. Decide which controls and policy changes to prioritize.
Where Lantern fits
Keep useful AI.
Make informed choices.
Lantern fits organizations that want clearer oversight of AI adoption, whether they are writing their first policy or reviewing existing controls.
Will Lantern find every AI interaction?
Coverage depends on the systems and evidence available. Lantern identifies visible tool use and likely data exposure; it does not claim to observe every prompt or personal account.
Do we need an AI policy first?
No. The review can identify policy gaps and provide a starting point for acceptable-use rules and oversight.
Is this an AI certification?
No. Framework mappings support governance planning. The assessment itself does not certify your organization or establish compliance.
Does Lantern automatically block tools?
Lantern provides recommendations to approve, restrict or block. Your organization decides how to implement those choices with the appropriate owners.
MINERVA LANTERN
Give your AI decisions
a clearer starting point.
Talk through the tools your team uses and the information you need to protect. Framework Security will help scope a Lantern review.
