Pattern-Based Monitoring Instead of Single Triggers Traditional proctoring treats every violation as a separate event. But in reality, cheating is rarely a single action. It is a sequence of small signals. For example: Frequent micro eye movements Slight delays before answering Repeated attention shifts Individually, these signals mean nothing. Together, they form a pattern. AI proctoring connects these signals to identify suspicious behaviour. This reduces false alerts while improving detection accuracy in online exams.

How AI Proctoring Solves the Real Security Gaps in Online Exams