AI data loss prevention case studies
Real research on how personal and company data leaks into AI tools at work, and why data loss prevention (DLP) for AI matters.
Inveil is data loss prevention (DLP) for AI. It checks prompts, files and screenshots on each device before they reach AI tools.
Nearly half of privacy professionals admit putting non-public data into GenAI
Cisco's 2025 Data Privacy Benchmark Study shows why protecting personal information from AI tools is now a core security job, not a nice-to-have.
Read the case study →Half of UK firms fear employees are sharing sensitive company data with AI
Senior decision-makers say they cannot see which AI tools their people use or what data goes into them. Here is what that means for keeping company data inside the company.
Read the case study →British workers spend nearly £1bn of their own money on GenAI for work
Deloitte UK found workers are not waiting for permission to use GenAI. Here is why that makes protecting company and personal data harder.
Read the case study →AI costs are hidden in plain sight, and most firms cannot see them
CIO.com and Deloitte both point to the same gap: AI spend is spread across vendors, usage-based plans and personal subscriptions that nobody is adding up.
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