We detect Shadow AI usage; a corporate AI policy and approved tool catalog are published, and a model governance framework secures safe value from AI.
The critical topics this service addresses and the outcome we deliver in each.
We detect shadow-AI usage through network-traffic analysis, CASB integration and surveys, and tie it to an inventory.
We organise policy, risk map and the approved-tool catalogue as evidence ready for regulatory audit and customer enquiry.
We measure maturity on the AI Maturity Model and tie adoption and quality impact to trackable targets.
We apply and evidence the EU AI Act risk classification; for high-risk systems the final conformity decision is left to your organisation and legal counsel.
How we phase the service across delivery, governance, and connected service pillars.
We build the current AI-usage inventory and assess risks against the EU AI Act's four-tier classification.
We establish ethical-AI principles and a governance committee and define the approved-tool evaluation and approval process.
With role-based training and a living-document structure we bring the framework under control without banning AI and keep it ready for regulatory change.
Illustrative surfaces where this service is commonly activated.
Controlling the risk of employees moving corporate data to third-party systems via unapproved AI tools.
Moving scattered AI usage to central visibility and ROI measurement.
Building a governance framework that aligns with the EU AI Act and KVKK AI annexes.
This service's depth on sector-specific technical and compliance topics.
We classify tools on the basis of the EU AI Act's four risk tiers and the NIST AI RMF and set controls accordingly.
With a committee of IT, legal, business-unit and ethics representatives we manage new tool requests and policy updates.
We keep approved tools visible with a portal filtered by category and risk level and update it as vulnerabilities arise.
Shadow AI — unauthorized and unmanaged use of AI tools by employees across the organization — creates data exposure, intellectual property leakage, and regulatory compliance failures that occur entirely outside traditional IT governance visibility. Employees using public AI tools may inadvertently submit confidential contracts, customer data, source code, and regulated personal information to external model training pipelines. Enterprise AI Governance establishes the policies, technical controls, and oversight structures necessary to capture the productivity benefits of AI while maintaining control over data, model outputs, and regulatory compliance.
Identify an average of 15-30 unauthorized AI tools per organization in shadow AI discovery assessments
Eliminate uncontrolled personal data exposure to external AI providers, addressing KVKK/GDPR processor obligations
Establish AI governance maturity that satisfies emerging EU AI Act Article 9 risk management requirements
Enterprise AI Governance addresses three interconnected domains: discovery and inventory (knowing what AI is in use), governance framework (establishing the rules, approval processes, and risk assessments for AI deployment), and technical controls (enforcing policy through DLP, CASB, and API gateway enforcement). Our engagement begins with a shadow AI discovery assessment that provides an immediate, evidence-based view of the current AI risk landscape before governance structures are designed — ensuring the framework addresses real, observed behavior rather than theoretical risks.
Support audit and compliance readiness with evidence records instead of unsupported public outcome promises
Turn the outcome into a measurable target with baseline, owner, and review cadence
Enable rapid, confident approval of legitimate AI use cases reducing time-to-approval from weeks to days
Enterprise AI Governance delivers an operational governance program: a shadow AI discovery report, an AI inventory with risk classifications, an AI acceptable use policy, a model governance framework, technical control configurations, and a staff awareness program. For organizations pursuing formal AI governance certification, we deliver an ISO 42001 implementation roadmap and pre-certification gap assessment. All deliverables are designed to remain current as the AI tool landscape evolves through a structured quarterly review process.
Make risk and response indicators visible through measured controls, rehearsed playbooks, and evidence review
Satisfy EU AI Act Article 9 risk management documentation requirements for high-risk AI deployments
Turn the outcome into a measurable target with baseline, owner, and review cadence
It depends entirely on what data is submitted. Submitting personal data of Turkish data subjects to a US-based AI provider constitutes an international personal data transfer under KVKK Article 9, requiring either explicit consent or KVKK Board approval. Most organizations submitting customer data, employee information, or contract content to public AI tools are doing so without adequate legal basis — a direct regulatory violation. Our governance program establishes the policies and controls to prevent this.
The EU AI Act applies to any organization that deploys or places AI systems on the EU market, regardless of where the organization is headquartered. Turkish companies with EU customers, EU-facing AI applications, or EU data processing operations are subject to the Act's requirements — including mandatory risk assessments for high-risk AI systems and transparency obligations for certain AI-generated content. We provide EU AI Act applicability assessments and compliance roadmaps for non-EU headquartered organizations.
Our governance framework uses a tiered approval model rather than blanket blocking. Approved AI tools (Microsoft 365 Copilot, Azure OpenAI with enterprise data protection agreements) are permitted with standard acceptable use policies. Conditional tools require specific approvals based on data classification rules. Restricted tools are blocked only for sensitive data categories. Blanket blocking reduces productivity without eliminating risk — employees find workarounds on personal devices.
Yes. ISO 42001:2023 is the international standard for AI Management Systems (AIMS), published in December 2023. Certification is available through accredited certification bodies and is increasingly being required in public procurement and high-regulation sector contracts. It is the AI governance equivalent of ISO 27001 — providing external verification of your AI risk management practices. We offer ISO 42001 implementation as an advanced component of our Enterprise AI Governance program.
We establish a quarterly AI inventory review process supported by continuous CASB telemetry. New AI tools detected by CASB are automatically staged for risk classification review within the agreed response window of first detection. The AI governance owner performs a structured assessment using our vendor risk template, and approved or rejected tools are added to the classified inventory. This process keeps the inventory current without requiring manual scanning.
Under GDPR and KVKK, organizations bear controller liability for personal data processed by their employees using any tool, sanctioned or not. A documented governance program demonstrates that the organization took reasonable technical and organizational measures — a critical defense in regulatory investigations. Organizations without governance programs face the full liability of uncontrolled AI use combined with the inability to demonstrate any remediation effort, which regulators treat as an aggravating factor in penalty determinations.
This short form routes your request to the right support team. We clarify context first, then define the safe sharing method.
Privacy-aware first contact; safe sharing flow when needed; no sales pressure.
