How trustworthy are US AI companies?

Cybernews has launched the AI Trustworthiness Ranking, a new project assessing 500 AI companies globally based on publicly available information related to security, data privacy, organizational transparency, and public perception. 278 of the analyzed companies are from the US. The ranking covers 21 AI categories, ranging from AI assistants and productivity tools to coding, music, and creative platforms.

US AI companies score slightly above the global average: across all 500 companies analyzed globally, the average Trustworthiness score is 65 out of 100, compared with 67 out of 100 among US companies.

“With so many AI tools to choose from, it’s not always easy to know which companies you can trust. The ranking checks how the companies behind the leading AI tools handle user data, security, and transparency, helping users understand which companies actually deserve their trust,” says 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.

Google and Krisp top the US AI Trustworthiness Ranking

Google (Gemini) and Voice AI company Krisp received the highest Trustworthiness scores among US AI companies, both scoring 97 out of 100. They also took the top two spots in the global ranking. Fireflies.ai (a notetaker app) took third place in the US, followed by Salesforce and Jotform AI Agents. These three companies took fourth, fifth, and sixth places in the global ranking.

Office & Productivity was the highest-performing AI category in the US, with an average Trustworthiness score of 83 out of 100. Music & Audio ranked lowest, averaging 50 out of 100.

Security measures scored the lowest, transparency scored the highest

Of the four pillars assessed, security received the lowest average score among US AI companies at 39 out of 100. The security pillar checks whether a company has a dedicated security or trust page, bug bounty program, and security certifications.

Organizational transparency was the strongest-performing pillar, with an average score of 90 out of 100. Here, Cybernews analyzed whether companies disclose their legal entity, physical address, and a working contact channel.

The data privacy and public perception pillars both received the same score of 72. The privacy pillar analyzed how transparent companies are in their privacy policies about data collection, retention, sharing, and AI training. Public perception was calculated based on company reviews on Trustpilot and G2.

61% of US AI companies don't clearly disclose whether they train AI on user data

For the Data Privacy pillar, Cybernews analyzed companies' privacy policies to assess how clearly they explain how they collect, share, use, and retain user data.

The analysis found that 61% of US AI companies do not clearly disclose whether they use user data to train their AI models. Of these, 39% do not address AI training on user data in their privacy policies at all, while 22% provide only vague information.

Data retention disclosures showed a similar pattern. 66% of US AI companies do not clearly disclose how long they retain user data. 9% do not mention retention or deletion at all, while 57% provide only vague information without specifying precise retention periods.

“People use AI tools for everything these days, and they give those tools access to their most sensitive data. That’s why it’s so important for users to clearly understand what is done with their data. People shouldn’t have to interpret vague language or struggle to understand how their data is being used,” says V. Kadys.

Explore the full AI Trustworthiness Ranking and individual company scores here: https://cybernews.com/ai-knowledge-base/ai-trustworthiness-ranking-2026/