Reduce Shadow AI Risk
You suspect employees are using unmanaged AI tools and want to reduce data leakage and compliance risk.
Shadow AI risk occurs when employees use unapproved AI tools with company data outside approved security, governance, and procurement controls.
Every prompt into an unmanaged tool can carry customer data, source code, or strategy into systems you don't control. You can't govern what you can't see - surfacing shadow AI is the first step to reducing exposure.
- Employees are clearly using AI but nothing is sanctioned
- No visibility into which AI tools touch company data
- Sensitive data may be entering public AI tools
- Compliance or legal has raised concerns about AI use
What good looks like
Assess
Review your current state against real risks and goals to find the gaps that matter.
Prioritize
Rank the gaps by business impact and tackle the highest-value fixes first.
Build roadmap
Sequence the work with budget, timeline, and clear ownership.
Execute & support
Procure, deploy, validate, and stay accountable through rollout and beyond.
We recommend the right fit for your environment, we're not locked to any one vendor.
How do we detect shadow AI?
Through network/SASE visibility, CASB, and data-security tooling that surface which AI services are being used and what data flows to them.
Should we block all AI tools?
Blocking alone pushes usage underground. The better approach pairs controls with sanctioned alternatives so employees have a safe, approved way to work.
What safe AI alternatives should we provide?
Approved tools and private AI workspaces with data controls - so the productivity employees want is available without the exposure.