> For the complete documentation index, see [llms.txt](https://docs.colt.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.colt.net/suppliers/supplier-portal/data-protection.md). # DATA PROTECTION Colt announced the 15/11/2021 that it has received official approval of its Binding Corporate Rules (BCRs) from the European Data Protection Board (EDPB). This currently makes Colt one of less than ten companies globally with EDPB-approved Controller and Processor BCRs, and the only voice and data communications provider in the world to have obtained GDPR-compliant BCRs, giving customers peace of mind that the company is focused on security and protecting their data. Approved Binding Corporate Rules are a recognition of Colt applying the highest possible standards of data protection when transferring personal data. * **Data Processing Agreements**: Ensure that all data processing activities are governed by comprehensive Data Processing Agreements (DPAs) that outline the responsibilities and obligations of both parties concerning personal data. * **Data Security Measures**: Implement robust security measures to protect personal data from unauthorized access, loss, or breaches. This includes encryption, regular security audits, and access controls. * **Data Subject Rights**: Assist us in responding to data subject requests, such as access, rectification, and erasure requests, in a timely and efficient manner. * **Data Breach Notification**: Promptly inform Colt of any data breaches within 72 hours that may affect the personal data we share with you, and cooperate with us in mitigating the impact and notifying the relevant authorities if necessary.. * **Training and Awareness**: Ensure that your staff are well-trained and aware of GDPR requirements and best practices for data protection. * **Regular Audits and Assessments**: Participate in regular audits and assessments to verify compliance with GDPR and identify areas for improvement. {% content-ref url="/pages/0008750258617548302d129ff9468df5546e30d4" %} [Broken mention](broken://pages/0008750258617548302d129ff9468df5546e30d4) {% endcontent-ref %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.colt.net/suppliers/supplier-portal/data-protection.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.