Veterinary AI Assistant CoVet Achieves Premier Global Security Certification
Amsterdam, Thursday 9 April 2026
CoVet’s new ISO 27001 certification guarantees medical-grade data protection for its veterinary AI assistant, proving clinics can save over two hours daily without compromising patient privacy.
The Intersection of Efficiency and Auditable Security
On 7 April 2026, CoVet, an artificial intelligence copilot designed specifically for veterinary professionals, announced it had achieved the ISO 27001 certification for its Information Security Management System (ISMS) [2]. This internationally recognised standard establishes a rigorous framework for risk identification, control implementation, and the continuous improvement of confidential data protection [5]. For CoVet, this certification ensures that highly sensitive information—ranging from patient histories and diagnostic results to client contact details and billing data—is safeguarded through structured risk management, encryption practices, and ongoing monitoring [2]. The milestone also complements the startup’s existing SOC 2 Type 2 certification, cementing a robust, auditable security posture [3].
Moving Beyond Superficial Privacy Claims
The broader digital economy has recently faced intense scrutiny regarding how artificial intelligence platforms handle sensitive user inputs [4]. A proposed class-action lawsuit filed against AI search company Perplexity on 31 March 2026 highlighted a pervasive industry issue: the conflation of simple data retention policies with comprehensive privacy controls [4]. The complaint alleged that tracking technologies shared user data with third parties even when an ‘Incognito mode’ was active [4]. As compliance experts note, simply deleting a chat thread after a set period does not guarantee privacy across telemetry, third-party scripts, or administrator access [4]. True AI privacy requires auditable security controls, making frameworks like ISO 27001 and SOC 2 essential for enterprise trust [4].
Securing the Digitalisation of Legacy Practices
Implementing AI in clinical settings introduces complex data pathways, as information moves through browser, application, provider, storage, and operations planes [4]. Vulnerabilities in AI products often stem from missing authentication or context leakage, as seen in recent security advisories for other AI development platforms [4]. By adhering to the ISO 27001 framework, CoVet provides technical and organisational evidence that its controls operate effectively rather than merely existing as theoretical marketing claims [4]. This structured approach mitigates major risks such as sensitive information disclosure, which the Open Worldwide Application Security Project (OWASP) identifies as a primary threat in large language model deployments [4].