The most trustworthy AI companies of 2026, according to a new ranking

Cybernews has launched the AI Trustworthiness Ranking that evaluates 500 AI companies based on publicly verifiable trust signals. Each company receives an Overall Trustworthiness Score from 0 to 100, calculated from four weighted pillars: public perception, data privacy, security, and organizational transparency.

A trustworthy company is not one that claims to care about privacy, but one that shows through its systems, policies, and public behavior that protecting user data is treated as a real responsibility rather than just a legal requirement.

Top 10 best-performing companies of 2026

The top performers in the 2026 Trustworthiness Ranking stand out for consistently performing well across all pillars of the methodology. The highest-ranked company is Google Gemini Assistant, which showed the strongest performance across all pillars.

It has a clear privacy policy and security practices, demonstrates organizational transparency, and ranks among the highest in public perception (Trustpilot and G2).

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, “Every piece of data collected adds more responsibility for the company. Things like how securely data is managed and whether models are trained on user data should be clearly disclosed. Transparency is not a feature you add at the end, but something that helps avoid legal, operational, and reputational risks.”

Following Google, the most trustworthy companies are Krisp, Fireflies.ai, Adobe, and Magnific, making up the top five.

The security pillar analyzes whether the company participates in a bug bounty program or coordinated vulnerability disclosure (CVD) program, has ISO/IEC 27001 or SOC 2 Type II security certification, and has a security or trust page. Among the top ten companies, Writesonic is the only one that does not participate in a bug bounty or coordinated vulnerability disclosure program (CVD). The company ranks in sixth and has one of the highest public perception scores across all analyzed platforms.

Seventh place is taken by the Veryfi platform. Although it received a lower public perception score than some other top companies, it still ranks highly because it performs well across all other pillars. Eighth, ninth, and tenth places are taken by Salesforce, Grammarly, and Lovable, which have performed well across the data privacy, security, and public perception pillars.

What separates the top companies from the rest

"No one is surprised that companies collect a lot of information anymore. The question is whether they are honest enough to tell users exactly how user data is managed. We see businesses invest heavily in product development, but sometimes fall short in security practices and disclosures. This does not necessarily mean they don’t operate securely, but it definitely lowers trust," says V. Kadys.

A common issue among the analyzed companies was a lack of clarity around whether they use customer input to train their AI models. Overall, 63% either did not address AI training in their privacy policies or provided only vague information. Also, 65% did not disclose specific data retention periods.

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