Governing Shadow AI: Balancing Rapid Adoption with Risk Controls to Protect Data and Reputation
What Happened – Alan Snyder, CEO of NowSecure, highlighted the emerging challenge of “shadow AI” – unsanctioned artificial‑intelligence tools used by employees that bypass corporate controls. He outlined practical steps for building an AI‑ops function, a governance tracking system, and a pre‑approved tool list to curb data‑leakage risk while preserving innovation.
Why It Matters for TPRM –
- Unvetted AI models can exfiltrate sensitive data from SaaS and on‑prem applications.
- Shadow AI creates invisible third‑party dependencies that evade existing vendor risk assessments.
- Failure to govern AI use may trigger regulatory findings and damage brand trust.
Who Is Affected – Technology SaaS providers, enterprise C‑suite, security teams, and any organization deploying AI‑enabled workloads.
Recommended Actions –
- Establish an AI‑ops team with clear ownership of approved tools and usage patterns.
- Deploy a governance tracking platform that tags AI usage as authorized, unauthorized, or unknown.
- Publish and maintain a vetted list of AI services; integrate visibility into CI/CD pipelines and third‑party component inventories.
Technical Notes – The risk stems from unsanctioned AI APIs, SDKs, and agents that can inadvertently transmit proprietary data. No specific CVE or vulnerability is cited; the focus is on process and governance gaps. Source: https://www.helpnetsecurity.com/2026/06/01/governing-shadow-ai-video/