Assessment Engine
RecruitAssess™ Anti-Cheating mechanisms ensure every assessment is conducted fairly, securely, and credibly—preventing malpractice, impersonation, and result manipulation at scale.
Online and computer-based tests are increasingly vulnerable to cheating techniques such as impersonation, collusion, question leakage, and device manipulation—especially during high-stakes exams.
RecruitAssess™ embeds multi-layered anti-cheating controls directly into the CBT Engine—combining technology, behavior monitoring, and exam design strategies.
These controls operate silently in the background, ensuring exam integrity without disrupting genuine candidates.
Each candidate receives a unique question set and order from the Question Bank, drastically reducing answer sharing and collusion.
Enforce section timing, question locks, auto-submission, and controlled navigation to prevent manipulation.
Track browser focus changes, multiple logins, IP switching, and suspicious session behavior in real time.
Support for candidate verification via login controls, registration data matching, and optional identity checks.
Identify abnormal answer patterns, unusually fast completions, and score anomalies for post-exam review.
Restrict copy-paste, screen capture, tab switching, and enforce single-session participation per candidate.
Every candidate action is logged—login time, navigation events, submissions, and system flags.
Automatically flag suspicious sessions for administrative review and investigation.
Provide evidence-based justification for results, ensuring credibility during disputes or audits.
RecruitAssess™ Anti-Cheating is designed for environments where exam credibility is non-negotiable.
Whether you’re hiring at scale, recruiting staff, or conducting secure assessments, RecruitAssess™ gives you the tools to screen, assess, and select with confidence.
RecruitAssess™ is a secure recruitment screening and assessment platform designed to help organizations evaluate candidates objectively through technology-driven testing and analytics.
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