Comprehensive audit of how employees and systems use AI — identifying security risks, data leakage threats, shadow AI and preparing a governance roadmap.
Pain points
No visibility into which AI tools employees use — official and shadow — and what data goes into prompts
No AI usage policy: each department works independently, using whatever tools they find
Risk of non-compliance with local data protection laws and AI regulations — especially for regulated industries
No centralised monitoring — no way to detect when sensitive data is shared with public AI models
Methodology
Identify all AI tools in use — official and shadow — across all departments, roles and systems
Analyse what types of data employees insert into AI prompts — PII, financial data, source code, trade secrets
Map threats: data leakage, prompt injection, shadow AI usage, policy violations and regulatory non-compliance
Develop clear AI usage rules, acceptable use guidelines and employee training materials
Specific proposals for implementing protection: GenAI Protect, DLP, SIEM, EDR and access controls
Prioritised risk mitigation roadmap with quick wins, policy rollout and tooling implementation phases
Interactive tool
What you get
Inventory of all AI tools found — official, shadow, integrated and standalone — with risk classification
Visual risk map highlighting critical data flows, vulnerable functions and highest-priority remediation areas
Ready-to-deploy AI usage policy for employees with clear rules, allowed tools list and reporting procedures
Prioritised action plan covering inventory, policy rollout, protection tooling and monitoring setup
Specific tool recommendations: GenAI Protect, DLP solutions, SIEM integration, EDR configuration
Long-term roadmap for safely scaling AI adoption across the organisation with governance checkpoints
ROI
Based on Noventiq project benchmarks
Why us
AI security specialists — Pacifica brings dedicated expertise in AI governance, data protection and enterprise security audit
Shadow AI detection — methods to discover unsanctioned tool usage even when employees don't disclose it
Regulatory expertise — deep knowledge of local data protection requirements, AI regulations and compliance frameworks
Practical output — not just a risk report but a ready-to-implement policy, protection tools proposal and 3-month roadmap
Technology
Security & Audit
AI Protection
Regulatory
Timeline
Real results
Comprehensive audit of AI tool usage across 1,200 employees. Identified 14 unsanctioned AI tools in active use, 3 critical data leakage scenarios involving PII in public AI prompts. Delivered risk map, AI usage policy and 90-day remediation roadmap.
Shadow AI detection across IT, Sales and Customer Service departments. Found widespread use of consumer AI tools for processing customer data. Implemented DLP controls and AI usage policy within 6 weeks.
AI audit focused on GDPR compliance for customer data used in AI systems. Mapped all AI touchpoints in CRM, marketing automation and support systems. Delivered compliance roadmap aligned with local data protection legislation.
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