use-case-triage

AI usage scenario triage evaluates proposed LLM submissions against an organization's AI inventory and red lines to classify approval status and identify KVKK personal data or FSEK IP risks. It outputs a structured classification with actionable conditions or escalation handoffs.

Conditional approval means an AI scenario may proceed only if specific requirements are met, often addressing KVKK cross-border data transfer or special category personal data risks before final human-in-the-loop approval. It produces actionable conditions rather than outright rejection.

Sharing internal trade secret data with public or enterprise LLMs is assessed against organizational AI governance red lines. The triage checks for trade secret exposure, attorney confidentiality risks, and cross-border disclosure concerns to determine if the scenario is rejected.

Assessing FSEK copyright exposure involves evaluating AI outputs against organizational AI usage inventories to identify intellectual property risks. The triage checks FSEK-related IP exposure during the risk classification and includes it in the structured compliance handoff.

Yes, the AI risk triage explicitly evaluates automated decision-making sensitivity under KVKK requirements. It checks whether the proposed AI scenario involves special category personal data and determines if human-in-the-loop approval is required before proceeding.

You should escalate an AI use case when the triage identifies high KVKK cross-border transfer risks, special category data, or FSEK IP exposure that cannot be resolved by initial automated classification. The output includes a structured compliance handoff to Privacy or Product Counsel.