Why Enterprise AI Fails, and What to Do About It
A practical look at where enterprise AI adoption breaks down, and how visibility, governance, and control change the outcome.
The Snypera AI Trust Library
Research, field guides, checklists, and briefings for leaders securing and governing enterprise AI. New resources are added as they are published.
A practical look at where enterprise AI adoption breaks down, and how visibility, governance, and control change the outcome.
An operating manual for securing the people, applications, data, models, and agents behind enterprise AI.
How to build role-based AI literacy that can be evidenced across employees, leaders, boards, and technical teams.
Applying privacy-by-design principles to prompts, uploads, and AI-assisted workflows in regulated environments.
How to apply AI to security operations while preserving oversight, accountability, and human control.
Identity, delegated authority, approvals, sensitive actions, logging, containment, and rollback for autonomous agents.
Why point solutions leave gaps, and how a unified control plane connects the slices into a defensible trust layer.
The questions boards should ask about AI adoption, risk appetite, oversight, and accountability.
A structured checklist to help identify unsanctioned AI applications and usage patterns before they become unmanaged risk.
Snypera AI Signal
Research, practical guidance, regulatory analysis, and field notes on enterprise AI security, governance, and trust.
Speaking and media
Snypera AI contributes executive briefings and practitioner sessions on enterprise AI security, governance, agentic risk, and workforce readiness.