Test Security - Articles and Content that Outline the Risks and Mitigation for Exam Test Secuiryt and Treats from Cheating

This collection maps the evolving landscape of test integrity across professional certification, licensure, recruitment, and education. It samples developments from identity and deepfake countermeasures such as PSI’s partnership with Entrust, psychometric forensics using tools like SIFT to flag anomalous response patterns, and operational crackdowns like Thailand’s OCSC response to organised rings. It also highlights shifting delivery models and debate, from Caveon Observer’s risk-led monitoring to analysis of AI proctoring and student rights, alongside practical guidance on preventing proxy test takers. Together, these pieces show how security spans technology, policy, and programme design rather than relying on a single control. Common themes include layered identity assurance, AI-enabled monitoring, and data-driven detection methods such as item pre-knowledge analysis and response-time forensics. Several resources consider the polarisation between remote proctoring and test centre delivery, the need for secure browsers to evolve in the face of AI assistive tools, and the role of threat intelligence on commercial cheating services and devices. Coverage touches education, professional certification, and workforce licensure, with solutions presented both as stand-alone tools and as components within wider assessment platforms. Disclaimer: The Test Community Network does not endorse the listed products or services and does not guarantee their quality, accuracy, reliability, or fitness for purpose. Readers should conduct due diligence and maintain human oversight, considering fairness, validity, accessibility, data privacy, transparency, potential bias, regulatory alignment, and terms of service. Where free services are involved, note that user data may be monetised; institutions should review data retention and any training-data usage.