Shadow AI: the 4-week playbook
Don't ban — channel. The strategy used by Autenticare to bring AI out of the shadows in regulated companies, with Gemini Enterprise as the central piece.
4 risks of Shadow AI
Data leak
Confidential info pasted into public AI ends up in training data or breach exposure.
No traceability
Decisions taken with AI input nobody can audit, replay or defend.
LGPD violation
Personal data sent to third parties without legal basis = direct ANPD risk.
IP shared
Source code, designs, strategies entering models you don't control.
The 4-week playbook
- Week 1 — Diagnostics
Survey of AI use, identification of personas, mapping of risk and quick-win opportunities.
- Week 2 — Policies + DLP
Acceptable-use policy, DLP rules in Cloud + Workspace, opt-out configuration, audit log activation.
- Week 3 — GE rollout
Provisioning of Gemini Enterprise, first agents in production, integration with priority systems.
- Week 4 — Change management
Communications, training, internal champions, KPI dashboard, rollout to next personas.
Governance checklist (10 items)
- ☐ Acceptable-use policy approved by legal/compliance
- ☐ Opt-out of training applied in Workspace + Vertex AI
- ☐ Cloud DLP active with rules for PII, payment data, source code
- ☐ Audit log integrated with the company SOC
- ☐ IAM with least privilege for the GE project
- ☐ VPC Service Controls isolating sensitive resources
- ☐ Data retention configured per company policy
- ☐ Contract with explicit no-training clause + LGPD DPA
- ☐ Communications and training plan for end users
- ☐ Adoption KPIs and ROI measured monthly
FAQ
What is Shadow AI?
AI used by employees outside the company's official guardrails — pasting confidential data into ChatGPT, using free Gemini, copying client info into prompts. It's the new Shadow IT, and it's already happening in your org.
Does banning AI work?
No. Banning increases the use of personal accounts, drives data leakage and creates a toxic adoption culture. The right path is to offer a corporate alternative with the same convenience plus governance — that's where Gemini Enterprise plays.
How long does it take to govern Shadow AI?
With Autenticare's standard playbook: 4 weeks for the official rollout, then 60–90 days of change management to consolidate. The first measurable risk reduction happens in week 2 with DLP active.
What is the cost of doing nothing?
Real risks: data leak with public exposure, ANPD fine (LGPD allows up to 2% of revenue), loss of intellectual property, and decisions taken with no traceability. Several Brazilian companies have already faced incidents — most simply don't disclose.
Does Gemini Enterprise solve Shadow AI by itself?
It's a critical piece, not the whole answer. The right combination is: (1) acceptable-use policy, (2) Gemini Enterprise as the official platform, (3) DLP and opt-out configured, (4) audit and visibility, (5) change management and training.
Want to bring AI out of the shadows in 30 days?
Autenticare delivers the playbook end-to-end with Gemini Enterprise as the central piece.