Introduction
Data Protection Impact Assessments in Turkey are becoming increasingly important for companies that process personal data in complex, high-risk, or technology-driven environments. Businesses operating in Turkey now process personal data through mobile applications, artificial intelligence systems, cloud infrastructure, e-commerce platforms, biometric access systems, employee monitoring tools, CCTV networks, health platforms, fintech services, customer profiling systems, advertising technologies, and cross-border data transfer structures. Each of these processing activities may create privacy, security, regulatory, reputational, and litigation risks.
Under Turkish law, the main personal data protection legislation is Law No. 6698 on the Protection of Personal Data, commonly known as KVKK. KVKK does not regulate a single formal “Data Protection Impact Assessment” procedure in the same detailed manner as some foreign privacy regimes. However, the law imposes strong obligations on data controllers to process personal data lawfully, fairly, proportionately, securely, transparently, and only for specific and legitimate purposes. Article 12 also requires data controllers to take all necessary technical and organizational measures to ensure an appropriate level of data security, prevent unlawful processing, prevent unlawful access, and protect personal data.
For this reason, a privacy risk review or Data Protection Impact Assessment is a practical and legally valuable compliance tool in Turkey. Even where a DPIA is not expressly named as a universal statutory requirement, it helps companies prove that they identified risks, selected lawful processing grounds, minimized data collection, assessed proportionality, reviewed security measures, considered data subject rights, and documented decision-making.
What Is a Data Protection Impact Assessment?
A Data Protection Impact Assessment, or DPIA, is a structured privacy risk review conducted before starting or significantly changing a personal data processing activity. Its purpose is to identify how a planned processing operation may affect the rights and freedoms of individuals, determine whether the processing is lawful and proportionate, and define risk mitigation measures.
In practical terms, a DPIA answers several questions:
What personal data will be processed?
Whose data will be processed?
Why is the data needed?
What is the legal basis?
Is the processing proportionate?
Are special categories of personal data involved?
Will data be transferred to third parties or abroad?
Will automated decision-making or profiling be used?
What risks may arise for individuals?
Which technical and organizational measures will reduce those risks?
Can the same purpose be achieved with less personal data?
A DPIA is not merely an internal form. It is a decision-making process. It should influence whether a company launches a feature, changes a vendor, modifies a data flow, introduces a biometric system, adopts an AI tool, or transfers data to a foreign platform.
Is a DPIA Mandatory Under Turkish KVKK?
Turkish KVKK does not currently contain a separate article that expressly requires every data controller to conduct a formal DPIA in all high-risk cases. However, several KVKK obligations effectively require risk-based analysis.
Article 4 requires personal data to be processed lawfully and fairly, accurately where necessary, for specified, explicit, and legitimate purposes, in a relevant, limited, and proportionate manner, and only for the period required by legislation or by the processing purpose. Article 12 requires appropriate technical and organizational security measures and necessary audits. These provisions create a strong legal foundation for risk assessment, even if the term “DPIA” is not used as a universal statutory label.
The Turkish Personal Data Protection Authority’s AI recommendations expressly state that where a high risk is foreseen in AI works based on personal data processing, a privacy impact assessment should be conducted and legal compliance should be evaluated within that framework. The same recommendations emphasize data protection by design, strict measures for special categories of personal data, anonymization where possible, and role determination between controllers and processors.
Therefore, in Turkish practice, a DPIA should be viewed as a best-practice compliance tool that may become practically necessary in high-risk projects. It helps a company demonstrate accountability, risk awareness, proportionality, and compliance with Article 4 and Article 12 duties.
Why Companies in Turkey Should Conduct Privacy Risk Reviews
A privacy risk review protects both the company and the data subject. For the data subject, it reduces the risk of unlawful disclosure, discrimination, excessive monitoring, identity misuse, financial loss, reputational harm, exposure of sensitive information, or unfair automated decisions. For the company, it reduces regulatory exposure, improves product design, strengthens legal defensibility, supports vendor governance, and prevents expensive post-launch corrections.
A company that conducts a DPIA before launching a high-risk processing activity can identify problems early. For example, it may discover that a mobile app requests unnecessary location access, a biometric attendance system is disproportionate, an AI model uses sensitive training data without legal basis, a cloud vendor transfers data abroad without proper safeguards, or a marketing tool activates advertising cookies before consent.
A DPIA also helps prepare evidence. If the Turkish Personal Data Protection Authority later asks why a company selected a particular processing method, the company can show that it considered legal basis, proportionality, alternatives, technical measures, retention periods, and data subject rights before implementation.
When Should a Company Conduct a DPIA in Turkey?
A DPIA should be conducted whenever a processing activity is likely to create increased risk for individuals. In Turkish practice, the following scenarios are especially important.
1. Processing Special Categories of Personal Data
A DPIA should be conducted when a company processes special categories of personal data. Under KVKK Article 6, special categories include data relating to race, ethnic origin, political opinion, philosophical belief, religion, sect or other beliefs, appearance, association, foundation or trade union membership, health, sexual life, criminal convictions and security measures, biometric data, and genetic data. These data categories require stricter protection because misuse may cause serious harm.
Examples include hospitals processing patient records, employers processing health reports, fintech companies using biometric identity verification, HR platforms processing criminal record information, health apps processing fitness or medical data, and laboratories processing genetic data.
A DPIA for special category data should assess whether the processing is legally permitted, whether explicit consent or another Article 6 ground applies, whether the processing is necessary, whether less intrusive alternatives exist, how access will be restricted, whether encryption is used, how long the data will be retained, and whether third-party vendors are involved.
2. Biometric Data Processing
Biometric data processing is one of the clearest cases where a privacy risk review is strongly recommended. Fingerprint systems, facial recognition tools, iris scanning, palm vein systems, voice recognition, behavioral biometrics, and biometric authentication technologies involve unique identifiers that cannot easily be changed if compromised.
A company planning to use biometric data should conduct a DPIA before implementation. The review should ask whether the biometric system is genuinely necessary, whether the same purpose can be achieved through cards, passwords, QR codes, SMS verification, or other less intrusive methods, whether consent is freely given, whether an alternative method is available, and whether biometric templates are securely stored.
This is especially important in employment relationships because employees may feel pressured to accept biometric systems. A DPIA can help identify whether consent is truly voluntary and whether the processing is proportionate.
3. Artificial Intelligence and Automated Decision-Making
AI-based systems should usually undergo a privacy risk review when they process personal data. The Turkish Authority’s AI recommendations state that if high risk is foreseen in personal-data-based AI work, a privacy impact assessment should be conducted and the compliance of the processing activity with the law should be evaluated. The recommendations also emphasize privacy by design, data minimization, anonymization where possible, and clear determination of controller and processor roles.
AI systems may create risks because they can analyze large datasets, infer new personal information, profile individuals, automate decisions, or produce inaccurate results. Examples include AI recruitment tools, credit scoring systems, fraud detection models, health diagnosis support tools, customer segmentation models, productivity monitoring tools, and generative AI systems that process user prompts or uploaded documents.
A DPIA for AI should assess training data sources, legal basis, bias risks, explainability, human review, automated decision-making impact, special category data, retention of prompts and logs, cross-border transfers to AI providers, and data subject rights.
4. Agentic AI and Autonomous Systems
Agentic AI systems may access data, take steps, interact with other systems, and make recommendations with greater autonomy. The Turkish Authority’s 2026 publication on agentic AI highlights the value of systematic risk assessment mechanisms and notes that tools such as data protection impact assessments may help make personal data protection risks more foreseeable and manageable, depending on the scope and possible effects of processing activities.
Companies using AI agents in customer service, HR, finance, healthcare, legal support, cybersecurity, or operational workflows should conduct a DPIA before deployment. The assessment should define what data the agent may access, what actions it may take, whether human approval is required, how errors will be corrected, and how unauthorized processing will be prevented.
5. Employee Monitoring and Workplace Surveillance
Employee monitoring is another high-risk area. Employers may use CCTV, access logs, email monitoring, internet usage tracking, productivity software, GPS tracking, biometric attendance systems, call recordings, or remote-work monitoring tools. These tools can affect employee privacy, dignity, labor rights, and workplace trust.
A DPIA should be conducted before introducing monitoring systems, especially where monitoring is continuous, intrusive, automated, or disciplinary in nature. The assessment should consider whether the monitoring is necessary, whether employees have been informed, whether less intrusive methods exist, whether private areas are excluded, how long recordings are kept, who can access them, and whether the data may be used for disciplinary proceedings.
A workplace DPIA should also consider the imbalance of power between employer and employee. Consent may not always be freely given in employment relationships, so the employer should identify a stronger legal basis where possible.
6. CCTV and Camera Recording Systems
CCTV systems can create privacy risks even when used for security. Camera systems may record employees, customers, patients, students, visitors, children, or third parties. If cameras are placed in sensitive areas or combined with facial recognition, the risk increases significantly.
A DPIA should be conducted where CCTV is used extensively, where cameras cover public-facing areas, where vulnerable individuals are recorded, where audio recording is included, where retention periods are long, or where footage is used for purposes beyond security.
The DPIA should assess camera placement, notice signs, privacy notices, retention periods, access restrictions, recording scope, audio recording necessity, data subject access requests, transfer to law enforcement, and technical security of storage devices.
7. Cross-Border Data Transfers
Cross-border transfers should be reviewed carefully under KVKK. Article 9 was amended in 2024 and now provides a structured system based on adequacy decisions, appropriate safeguards such as standard contracts or binding corporate rules, and limited exceptional transfer grounds. Standard contracts must be notified to the Authority within five business days after signature.
A DPIA is especially useful where a company uses foreign cloud providers, global HR systems, CRM tools, analytics platforms, advertising networks, AI APIs, SaaS systems, or international support teams. The assessment should identify what data is transferred, why transfer is necessary, which country receives the data, whether sub-processors are involved, whether special categories of data are transferred, and which Article 9 mechanism applies.
A transfer-focused DPIA should also assess onward transfers, access by foreign support teams, encryption, contractual safeguards, and data subject rights.
8. Large-Scale Customer Profiling and Digital Advertising
E-commerce companies, marketplaces, fintech platforms, mobile apps, and digital advertisers often use customer profiling, behavioral analytics, retargeting, advertising cookies, customer segmentation, lookalike audiences, and personalized offers.
These activities may affect privacy because they track behavior, infer interests, influence purchasing decisions, and sometimes combine data from multiple sources. A DPIA should be conducted where profiling is extensive, automated, intrusive, or linked to marketing decisions that significantly affect users.
The review should consider whether users are properly informed, whether explicit consent is required, whether non-essential cookies are blocked before consent, whether third-party advertising vendors receive data, whether data is transferred abroad, and whether users can object or withdraw consent.
9. Processing Children’s Data
Processing children’s personal data requires heightened caution. Children may not fully understand privacy notices, consent mechanisms, profiling, advertising, public sharing, or long-term consequences of digital data processing.
A DPIA is recommended for apps, games, education platforms, social platforms, video services, online communities, health services, or schools processing children’s data. The review should consider age-appropriate notices, parental involvement where relevant, data minimization, advertising restrictions, profile visibility, safety risks, retention periods, and content-sharing settings.
If children’s data is combined with behavioral advertising, location tracking, AI profiling, or special category data, the risk becomes significantly higher.
10. Health, Medical, and Clinical Data Processing
Healthcare data is one of the most sensitive categories of personal data. Hospitals, clinics, doctors, laboratories, health apps, telemedicine providers, insurance companies, and medical tourism companies should conduct privacy risk reviews for patient data systems.
A healthcare DPIA should assess legal basis under Article 6, patient privacy notices, access controls, medical confidentiality, data transfers to laboratories or insurers, e-Nabız-related processes where relevant, cloud storage, retention periods, breach notification procedures, and patient rights.
Clinical research and medical trials require additional review because they may involve sensitive health data, vulnerable participants, genetic data, international sponsors, research databases, anonymization, pseudonymization, and ethics approvals.
11. New Technologies, New Vendors, and System Changes
A DPIA should not be limited to brand-new projects. It should also be conducted when a company significantly changes how it processes personal data. Examples include migrating to a new cloud provider, adopting a new HR platform, introducing a new CRM system, outsourcing call center services, implementing a new AI tool, adding advertising SDKs, changing data retention periods, or integrating systems after an M&A transaction.
The risk may arise not from the business purpose itself, but from the new technology or vendor. A previously local data flow may become international. A manual process may become automated. A small dataset may become large-scale. A limited access system may become widely accessible through a shared platform.
What Should a Turkish DPIA Include?
A practical DPIA under Turkish law should include the following sections.
1. Description of Processing Activity
The company should describe the processing activity clearly. This includes the project name, business purpose, departments involved, systems used, data subject groups, personal data categories, special categories, collection methods, processing operations, retention periods, recipients, and transfer locations.
2. Legal Basis Assessment
The DPIA should identify the legal basis under KVKK Articles 5 and 6. It should not simply state that data is processed “for business purposes.” The company should determine whether processing is based on contract performance, legal obligation, legitimate interest, explicit consent, protection of rights, express legal provision, or a special category processing ground.
3. Necessity and Proportionality Review
The DPIA should explain why the data is necessary and whether the same purpose can be achieved with less data or a less intrusive method. This is one of the most important parts of the assessment. Article 4 requires processing to be relevant, limited, and proportionate to the purpose.
For example, if a company wants to use biometric attendance, the DPIA should explain why card access, QR code, password, or mobile verification is insufficient. If a mobile app wants continuous location tracking, it should explain why foreground-only or approximate location is not enough.
4. Risk Identification
The company should identify risks to individuals. These may include unauthorized access, excessive monitoring, discrimination, identity theft, financial loss, reputational harm, exposure of sensitive data, loss of control, inaccurate decisions, unfair profiling, data breach, unlawful transfer abroad, or inability to exercise rights.
5. Risk Mitigation Measures
The DPIA should list technical and organizational measures. Technical measures may include encryption, access controls, logging, anonymization, pseudonymization, data masking, multi-factor authentication, secure APIs, deletion tools, vulnerability testing, and backup security. Organizational measures may include policies, training, confidentiality undertakings, vendor contracts, retention schedules, data subject request procedures, and audit mechanisms.
The Turkish Data Security Guide emphasizes that personal data security cannot be ensured merely through a single cybersecurity product, and controllers should conduct or have audits performed on systems containing personal data.
6. Vendor and Processor Review
If vendors are involved, the DPIA should assess whether they act as processors or independent controllers, what data they access, whether sub-processors are used, where data is stored, what security measures exist, and whether the contract includes data protection clauses.
Article 12 states that where processing is carried out by another person on behalf of the controller, the controller is jointly responsible with that person for security measures.
7. Cross-Border Transfer Assessment
If personal data is transferred abroad, the DPIA should identify the transfer mechanism under Article 9, the recipient country, recipient role, transfer purpose, data categories, safeguards, standard contract notification status where applicable, and onward transfer risks.
8. Retention and Deletion Review
The DPIA should define retention periods and deletion methods. The By-Law on Erasure, Destruction or Anonymization requires personal data to be erased, destroyed, or anonymized when processing conditions no longer exist, and it defines personal data processing inventory as including maximum storage periods, foreign transfers, and data security measures.
A DPIA should therefore explain how long data will be retained, whether backups are covered, whether anonymization is possible, and how deletion requests will be handled.
9. Data Subject Rights
The assessment should confirm how data subjects will exercise their rights. KVKK Article 11 includes rights such as access, correction, deletion, information on transfers, objection to adverse automated results, and compensation for unlawful processing.
For AI, profiling, or automated decision systems, the DPIA should specifically consider how individuals can object to adverse automated results and whether human review is available.
10. Approval and Review
A DPIA should be approved by relevant decision-makers, such as legal, compliance, IT security, data protection officer or contact person, product owner, HR, procurement, and management. It should also be reviewed periodically or when the processing activity changes.
DPIA and VERBIS
DPIA findings should be consistent with VERBIS records where the data controller is subject to registration. The By-Law on Data Controllers Registry defines VERBIS as the internet-accessible system used for registration, and it applies to natural and legal persons determining the purposes and means of processing personal data.
If a DPIA identifies a new data category, new recipient group, foreign transfer, new retention period, or new security measure, the company should check whether VERBIS records and privacy notices require updating.
DPIA and Data Breach Prevention
A strong DPIA can prevent data breaches by identifying weak access controls, excessive data collection, unsecured vendor access, unclear retention periods, unencrypted sensitive data, or risky cloud configurations before deployment.
Data breach prevention is not only an IT issue. It is also a legal and organizational issue. A DPIA helps define who may access personal data, whether access logs are kept, whether vendors are controlled, whether data is encrypted, whether breach notification procedures exist, and whether employees have been trained.
Common Mistakes in Privacy Risk Reviews
One common mistake is conducting the DPIA after the project has already launched. At that stage, the company may resist changing the product because money and time have already been spent. A DPIA should be conducted before implementation.
Another mistake is treating the DPIA as a checklist exercise. A form with generic answers does not create real compliance value. The assessment must be tied to the actual processing activity.
A third mistake is ignoring business reality. Legal teams may draft a DPIA without understanding how the system technically works. Product, IT, security, and business teams must be involved.
A fourth mistake is failing to consider alternatives. Proportionality requires asking whether less intrusive methods can achieve the same purpose.
A fifth mistake is failing to update the DPIA. If a company adds a new vendor, new AI model, new data category, new transfer abroad, or new purpose, the assessment may need revision.
Practical DPIA Checklist for Companies in Turkey
A company should conduct a DPIA when a processing activity involves:
Special categories of personal data.
Biometric data.
Health data.
Children’s data.
Large-scale monitoring.
Employee surveillance.
AI or automated decision-making.
Profiling or behavioral advertising.
CCTV in sensitive areas.
Location tracking.
Cross-border transfers.
Foreign cloud providers.
High-volume customer databases.
New SaaS or HR systems.
Vendor outsourcing.
Data sharing after M&A transactions.
Clinical research or medical trials.
Fintech risk scoring.
Digital identity verification.
Any processing likely to create significant risk to individuals.
Conclusion
Data Protection Impact Assessments in Turkey are an essential privacy governance tool for companies processing personal data in high-risk contexts. Although KVKK does not currently impose a universal formal DPIA procedure under a separate dedicated article, the law’s general principles, data security obligations, proportionality requirements, data subject rights, and risk-based security expectations make privacy risk reviews highly important in practice.
A DPIA helps companies identify legal basis, reduce unnecessary data collection, assess proportionality, review special category data, manage vendors, evaluate cross-border transfers, protect data subject rights, define retention periods, and implement technical and organizational safeguards. It is especially important for AI systems, biometric technologies, health data processing, employee monitoring, children’s data, location tracking, digital advertising, fintech scoring, and international data transfers.
For businesses operating in Turkey, the best approach is to conduct privacy risk reviews before launching high-risk projects, document decisions carefully, involve legal and technical teams, and update the assessment when processing changes. A properly conducted DPIA is not only a compliance document. It is a practical risk management tool that protects individuals, strengthens corporate accountability, reduces regulatory exposure, and supports sustainable data-driven business operations in Turkey.
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