Why Data Provenance Must Anchor Every CISO's AI Governance Strategy
HelpNet Security, Wednesday, May 28th, 2025
Across the enterprise, artificial intelligence has crept into core functions - not through massive digital transformation programs, but through quiet, incremental adoption. Legal departments are summarizing contracts.
HR is rewording sensitive employee communications. Compliance teams are experimenting with due diligence automation. Most of these functions are built on large language models (LLMs), and they're often introduced under the radar, wrapped in SaaS platforms, productivity tools, or internal pilots.
It's not the adoption that worries me. It's the assumption of safety: the assumption that because a model is popular or 'enterprise-ready,' it must also be compliant, secure, and governed. What I've seen instead is a dangerous blind spot: the complete disappearance of data provenance.