Cybernews launches the AI Trustworthiness Ranking, assessing 500 AI companies
The new ranking evaluates 500 AI companies across security, data privacy, organizational transparency, and public perception.
- The ten most trustworthy AI companies are Google (Gemini), Krisp, Fireflies.ai, Adobe, Magnific, Writesonic, Veryfi, Salesforce, Grammarly, and Lovable.
- Companies in the Office & Productivity category achieved the highest average Trustworthiness score at 78 out of 100, while Music & Audio ranked lowest, with an average score of 54.
- Of the four pillars assessed, security received the lowest average score at just 32 out of 100, while organizational transparency was the strongest-performing pillar, with an average score of 90 out of 100.
- The analysis reveals that 63% of companies do not clearly disclose whether they use user data to train their AI models, while 65% of companies do not clearly disclose how long they retain user data.
Cybernews has launched the AI Trustworthiness Ranking, a new project assessing 500 AI companies from 36 countries based on publicly available information related to security, data privacy, organizational transparency, and public perception. Each company receives a Trustworthiness Score from 0 to 100, calculated from the four weighted pillars.
Companies scoring 75+ are designated AI Trustworthiness Leaders of 2026. The ranking covers 21 AI categories, ranging from AI assistants and productivity tools to coding, music, and creative platforms. The Ranking will be updated yearly.
The AI Trustworthiness Ranking aims to help people understand which AI companies they can trust. With hundreds of AI tools available, it can be difficult to know how responsibly the companies behind them operate or what happens to users’ data once they start using their products.
The Ranking is guided by an Advisory Board of experts in AI, cybersecurity, and technology, who provide external expertise and perspectives on the project.
According to Dr. Akshika Wijesundara (Dr. Aki), member of the AI Trustworthiness Ranking Advisory Board, Co-founder of SnapDrum and TAI Labs, CTO of Tilli Kids, and Senior AI Advisor to the UN, AI companies have access to extremely sensitive data, making it especially important they handle it responsibly.
“AI is shifting from answering questions to taking actions, reading inboxes, moving money, and making decisions on our behalf. A chatbot that mishandles data is a privacy problem. An agent with broad permissions and weak governance is a security problem, with mistakes propagating through real systems at machine speed. Companies that clearly show how they protect data, use it, and govern what their AI is allowed to do will have a meaningful advantage in earning long-term trust,” says Dr. Wijesundara.
Google’s Gemini tops the list
According to the Ranking, the ten most trustworthy AI companies are Google (Gemini), Krisp, Fireflies.ai, Adobe, Magnific, Writesonic, Veryfi, Salesforce, Grammarly, and Lovable.
Companies in the Office & Productivity category achieved the highest average Trustworthiness score at 78 out of 100, while Music & Audio ranked lowest, with an average score of 54.
Of the four pillars assessed, security received the lowest average score at just 32 out of 100, while organizational transparency was the strongest-performing pillar, with an average score of 90 out of 100.
According to Voldemaras Kadys, member of the AI Trustworthiness Ranking Advisory Board and Head of Security and Platform Engineering at Mediatech, the digital publishing house behind Cybernews, security and privacy aren’t just about legal compliance – they’re also about reputation and trust:
“AI tools can have access to huge amounts of sensitive user and business data, so companies need to be clear about how they use, store, and share that data. They must also show that they have strong security measures in place to protect it. If a company isn’t transparent about its data practices, or suffers a security incident, it can quickly lose the trust of its customers – and that trust isn’t easy to win back,” says Kadys.
Nearly two-thirds of AI companies lack clear disclosures on AI training
For the Data Privacy pillar, Cybernews analyzed the privacy policies of all 500 companies to assess how clearly they explain how they collect, share, use, and retain user data.
The analysis found that 63% of companies do not clearly disclose whether they use user data to train their AI models. Of these, 42% do not address AI training on user data in their privacy policies at all, while 21% provide only vague information.
Data retention disclosures showed a similar pattern. 65% of companies do not clearly disclose how long they retain user data. 9% don't mention anything about retention or deletion, while 56% only mention it vaguely, without any precise retention periods.
Explore the full AI Trustworthiness Ranking and individual company scores here: https://cybernews.com/ai-knowledge-base/ai-trustworthiness-ranking-2026/