The AI Shadow Discovery & Governance service helps organizations regain control over the rapidly growing, often invisible use of generative AI within the enterprise. As employees increasingly use tools such as ChatGPT, Copilot, and embedded AI features in SaaS platforms, sensitive data, intellectual property, and personal information are frequently exposed without oversight, governance, or auditability, creating material risks under GDPR, the EU AI Act, NIS2, and DORA.
This service establishes full visibility of AI usage, identifies data exposure and risk patterns, defines clear governance rules for what is allowed, controlled, or prohibited, and designs a sustainable operating model to ensure AI can be used safely, securely, and in a compliant and auditable manner. The result is a shift from uncontrolled “shadow AI” to governed, business-aligned, and regulator-ready AI adoption.
Generative AI has quietly created a new and largely invisible attack surface inside most organizations. Employees are now routinely using tools such as ChatGPT, Copilot, and embedded AI features in SaaS platforms to analyze documents, write code, and process business information — often without any visibility, security controls, or governance. This “Shadow AI” usage introduces critical weaknesses: sensitive data is exposed outside the organization, proprietary information is unintentionally disclosed, and business logic, credentials, and internal context can be harvested and exploited by attackers through compromised or manipulated AI platforms. Threat actors already leverage AI ecosystems for reconnaissance, social engineering, data harvesting, and supply-chain attacks, making uncontrolled AI usage not just a compliance issue, but a direct security vulnerability. Identifying where AI is being used, what data is being shared, and which business processes are exposed is now essential to understanding your true attack surface. Organizations that do not proactively discover and govern Shadow AI are effectively allowing adversaries to map and exploit these weaknesses first. The objective is no longer to ask whether AI will be used, but whether it will be used in a controlled, secure, and defensible way — before it becomes the next major breach vector.
At ACE-NSI CYBERSECURITY, we believe in outcome-focused business-driven security. This leads us to think about the financial, logistical, and environmental impact of a successful cyber-attack or technology disruption on business operations. Our approach is focused on achieving tangible visibility in your security posture with structure and pace.
Overall, the outcomes expected are:
What assets do you currently have in your environment?
What security regulations and standards does your company comply with?
What configuration do they have if any?
Do you comply with your organisation's internal security policies?
How can you resolve these issues?
ACE-NSI CYBERSECURITY comprehensively review the current cloud posture to identify security and risk concerns, where improvements are needed, overall performance as well as opportunities required to enhance the security investments. Assessment against the best practices will ensure that all domains of security are considered while risk quantification will ensure that investment is made against the risk that matters the most for companies.
No matter where you are in your programme, we can help – even if you don’t know where to start.
Request a FREE assessment to get started.