MIND Becomes First Data Security Company Accepted into Anthropic Cyber Verification Program

May 21, 2026
MIND has been accepted into Anthropic's Cyber Verification Program, becoming the first data security company to earn this recognition. The verification allows MIND to use Claude's full capabilities for advanced data discovery, threat detection, and prevention.

MIND has become the first data security company accepted into Anthropic's Cyber Verification Program, announced in a press release. The verification grants MIND unrestricted access to Anthropic's Claude model for defensive cybersecurity applications.

Through the program, MIND can enhance how its platform identifies sensitive information, detects data risks, and prevents data loss. The verification enables the company to develop advanced data classification and threat modeling methods that align with legitimate security objectives.

Anthropic's program requires participants to demonstrate ethical security practices and ensure unrestricted AI capabilities are used only for protective purposes. MIND's inclusion follows its certification under ISO/IEC 42001:2023, which validates responsible AI governance.

For customers, the verification means improvements in automated data discovery, risk detection, and prevention without manual oversight. MIND's platform aims to deliver autonomous protection by applying unrestricted AI to strengthen organizational data security.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI AI Brief AI Brief (X)
Free newsletter

Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.