Secure AI
Assessment
Comprehensive audit of how employees and systems use AI — identifying security risks, data leakage threats, shadow AI and preparing a governance roadmap.
One assessment across your whole AI usage
We find the tools nobody registered
Prioritized fixes with owners and effort
Trusted by enterprise leaders
Pain points
Challenges we solve
The risks that appear when AI adoption outruns governance.
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
How we deliver it
Our 6-step methodology maps how AI is really used in your organization and turns it into a governed, defensible setup.
Data leakage, access, shadow AI and compliance in one assessment.
Findings map to concrete controls, not a shelf document.
Prioritized fixes with owners and effort estimates.
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
Scan your AI risks
Select the AI tools your employees use and get an instant risk assessment for your company.
Your AI risk score
Run the scan
Answer the questions on the left and press «Scan my AI risks» to see your company's exposure.
Main findings
Risk profile
Recommended priorities
What you get
Deliverables
Full AI usage report
Inventory of all AI tools found — official, shadow, integrated and standalone — with risk classification
Risk map & red zones
Visual risk map highlighting critical data flows, vulnerable functions and highest-priority remediation areas
AI governance policy
Ready-to-deploy AI usage policy for employees with clear rules, allowed tools list and reporting procedures
3-month risk roadmap
Prioritised action plan covering inventory, policy rollout, protection tooling and monitoring setup
Protection proposals
Specific tool recommendations: GenAI Protect, DLP solutions, SIEM integration, EDR configuration
AI tools development roadmap
Long-term roadmap for safely scaling AI adoption across the organisation with governance checkpoints
Market benchmark
Shadow AI: now in 43% of breaches
Fresh data from IBM’s Cost of a Data Breach 2026 — 602 breached organizations, March 2025 to February 2026.
Source: IBM Cost of a Data Breach Report 2026, conducted by Ponemon Institute — 602 organizations, breaches from March 2025 to February 2026. Primary research; figures are averages across the studied population.
ROI
Estimate your risk exposure
Risk exposure model
Industry benchmarks — ranges, not guarantees
Why us
Why clients trust 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
Tech stack
Timeline
Project timeline
Real results
Case studies
Financial institution — AI governance audit
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.
Telecom operator — shadow AI programme
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.
Retail chain — regulatory compliance
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.
Frequently asked questions
Questions we hear most often
How long does a secure AI assessment take?
The assessment takes 2 to 6 weeks and ends with a prioritised 3-month remediation roadmap.
What is shadow AI?
Shadow AI is the use of AI tools by employees without approval or oversight from IT and security, which creates uncontrolled data exposure.
Which risks are covered?
Shadow AI usage, data leakage into public services, identity and access exposure, prompt injection and AI governance gaps.
Can we test our own exposure first?
Yes. The interactive risk scanner on this page gives an instant indicative score before a full assessment.
Ready to secure your AI usage?
Get a personalised consultation on Secure AI Assessment for your organisation.