How Textio ensures data privacy
Textio's strong focus on data privacy sets a high standard for the industry. Prioritizing transparency, accountability, and user trust, we exceed regulations and promote the ethical and responsible use of AI technologies. Here’s more about our approach:
Privacy policy and GDPR compliance
In addition to being ISO 27001 certified, we follow regulations like the EU General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) to enhance privacy for our entire global customer base.
Textio's Privacy Policy details the data we process, the reasons for it, and the users' rights over their data. By establishing controlled and documented data protection processes, architecting the software for optimal data security and control, and conducting regular internal and external audits of our practices, Textio ensures our data processing aligns with GDPR principles.
Data processing agreement and subprocessor oversight
Textio offers a Data Processing Agreement (DPA) in support of customers staying GDPR compliant. In addition to our own compliance obligations, we carefully evaluate and monitor our subprocessors to ensure they continually meet our high security and privacy standards and GDPR requirements.
Vendor management and risk mitigation
We go the extra mile to ensure data privacy by carefully vetting not only subprocessors but also vendors and enforcing strict contractual obligations. With a proactive risk management approach with all our systems, Textio reduces our exposure to risk and builds a secure ecosystem.
Employee security awareness and training
Recognizing that security is a shared responsibility and an ever-evolving space, Textio invests in ongoing employee training programs. We continually invest time and resources to ensure that our team has the latest know-how to uphold data privacy standards effectively.
Data Security is distinct from and equally critical as Data Privacy. Data Privacy relates to acceptable use and is more policy-driven. Data Security is technically oriented, relating to how a company has architected its software to protect users’ data, detect threats, and prevent breaches. Learn more about our Data Security practices.
The best approaches to safeguard data privacy in the AI era are rapidly and continually evolving. It calls for companies to stick to a comprehensive strategy covering legal adherence, tech advancements, cultural understanding, and continuous learning.
Data privacy isn't just a perk, it's a basic human right.
