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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.

Partnerpartner
4
risk categories
Shadow
AI detected
3-mo
risk roadmap
AI

Pain points

Challenges we solve

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

01

AI usage inventory

Identify all AI tools in use — official and shadow — across all departments, roles and systems

02

Data flow analysis

Analyse what types of data employees insert into AI prompts — PII, financial data, source code, trade secrets

03

Risk & vulnerability assessment

Map threats: data leakage, prompt injection, shadow AI usage, policy violations and regulatory non-compliance

04

AI governance policy

Develop clear AI usage rules, acceptable use guidelines and employee training materials

05

Protection recommendations

Specific proposals for implementing protection: GenAI Protect, DLP, SIEM, EDR and access controls

06

3-month risk roadmap

Prioritised risk mitigation roadmap with quick wins, policy rollout and tooling implementation phases

Interactive tool

Scan your AI risks

AI risk scanner

Select AI tools your employees use — see the risk profile of your company

AI tools in use

← Select the AI tools your employees use

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

ROI

Estimate your savings

ROI estimator

Based on Noventiq project benchmarks

Number of employees500
Avg. monthly salary ($)$2,000
Hours saved / person / week8h
-
Annual productivity gain
-
Hours freed per year
-
FTE equivalent

Why us

Why clients trust us

1

AI security specialists — Pacifica brings dedicated expertise in AI governance, data protection and enterprise security audit

2

Shadow AI detection — methods to discover unsanctioned tool usage even when employees don't disclose it

3

Regulatory expertise — deep knowledge of local data protection requirements, AI regulations and compliance frameworks

4

Practical output — not just a risk report but a ready-to-implement policy, protection tools proposal and 3-month roadmap

Technology

Tech stack

Security & Audit

Shadow AI detection toolsDLP (Data Loss Prevention)SIEM integrationEDR solutionsAccess control review

AI Protection

GenAI ProtectPrompt injection detectionAI activity monitoringPolicy enforcement tools

Regulatory

GDPR / local data protection lawsAI Act complianceInternal policy developmentEmployee training

Timeline

Project timeline

1–2 weeks
Express audit
Key tools inventory + top risks
2–4 weeks
Standard assessment
Full audit + policy + roadmap
4–6 weeks
Extended with roadmap
Deep technical + governance plan

Real results

Case studies

#1

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.

#2

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.

#3

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.

Ready to secure your AI usage?

Get a personalised consultation on Secure AI Assessment for your organisation.

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