AI Usage Inventory
A clear view of AI tools, use cases, departments, vendors, and risk levels.
AI Security Assessments
AI is changing business. Make sure it is not increasing your risk.
ITSC helps organizations evaluate AI tool usage, shadow AI, data exposure, vendor risk, and governance gaps before AI adoption becomes a security or compliance problem.
Why it matters
Most organizations are already using AI. Many just do not know where.
Employees are using AI tools to summarize documents, draft emails, analyze data, write code, create proposals, and automate work. That creates opportunity — but it also creates new questions around sensitive data, intellectual property, third-party risk, compliance, and oversight.
Our AI Security Assessment gives leadership a clear view of how AI is being used today, where risk exists, and what practical controls should be implemented next.
Shadow AI Discovery
Find the AI tools your organization is already using.
AI adoption often starts informally. Employees may experiment with public AI platforms, browser extensions, meeting assistants, code assistants, or AI-enabled SaaS tools before security and leadership teams have visibility.
Tool inventoryIdentify known, unknown, and department-specific AI tools being used across the organization.
Usage patternsUnderstand where AI is helping productivity and where usage may introduce risk.
Risk rankingPrioritize AI use cases based on data sensitivity, business impact, vendor risk, and exposure.
Sensitive Data Exposure
Know what data should never be entered into AI systems.
AI tools can improve speed, but they can also create risk when employees submit customer data, contracts, source code, financial records, regulated information, or confidential business strategy.
Data classificationDefine what information is safe, restricted, confidential, regulated, or prohibited for AI use.
Process reviewEvaluate common workflows where sensitive data may be copied into public or third-party AI tools.
Control guidanceRecommend guardrails, access controls, monitoring, DLP considerations, and employee guidance.
AI Governance & Policy
Build practical rules for safe AI adoption.
AI governance does not need to slow the business down. It should define what is approved, what is prohibited, who owns oversight, and how teams can use AI safely and consistently.
AI policyDevelop acceptable-use guidance for public AI tools, enterprise AI platforms, and AI-enabled vendors.
Ownership modelClarify responsibilities across leadership, IT, security, compliance, legal, and department leaders.
Training topicsCreate leadership and employee guidance around safe AI use, data handling, and escalation.
AI Vendor Risk
Understand which vendors use AI — and what that means for your data.
Many SaaS platforms now include AI features. Organizations need to understand how vendors use AI, whether data is used for model training, how data is retained, and what contractual or technical protections exist.
Vendor reviewAssess AI-enabled vendors, data processing terms, model training practices, and customer data handling.
QuestionnairesDefine questions procurement, legal, IT, and security should ask before approving AI tools.
Approval workflowCreate a practical process for reviewing, approving, and monitoring AI tools over time.
What You Receive
A board-ready AI risk package your leadership team can actually use.
Data Exposure Findings
Identification of sensitive data risks, prohibited use cases, and risky workflows.
Governance Roadmap
Policy, ownership, training, approval workflow, and control recommendations.
Executive AI Brief
Leadership-ready summary that explains risk, impact, and next-step investment priorities.
Assessment Process
A practical process designed for business leaders and technical teams.
Discover
Identify AI usage, stakeholders, tools, workflows, and business objectives.
Assess
Evaluate data exposure, vendor risk, policies, compliance needs, and control gaps.
Prioritize
Rank findings by impact, likelihood, sensitivity, and operational urgency.
Govern
Deliver policies, roadmaps, and executive reporting to support safe adoption.
What is an AI security assessment?
An AI security assessment reviews AI tools, workflows, data exposure, policies, vendors, and governance controls so leadership understands how AI is being used and where risk exists.
Is this only for companies building AI products?
No. Most organizations need AI assessment support because employees already use AI tools in daily work, even if the business is not building AI software.
Does this include tools like ChatGPT and Microsoft Copilot?
Yes. The assessment can include public AI tools, enterprise AI assistants, Microsoft Copilot-style deployments, browser extensions, AI meeting tools, code assistants, and AI-enabled vendors.
What does leadership get at the end?
Leadership receives an executive-ready AI risk brief, prioritized findings, policy recommendations, and a roadmap for safe AI adoption.
Ready to assess AI risk?
Make AI an advantage — not an unmanaged exposure.
Schedule a consultation to discuss how your organization is using AI and what governance should exist next.