Human review is the step where a person checks content before it is published or acted on. In security-sensitive workflows, this means a reviewer confirms accuracy, policy compliance, source credibility, and whether any automated output should be blocked, corrected, or escalated. It is a basic control in human-in-the-loop systems, especially when AI tools can draft text, summarize sources, or generate media at speed.
In cyber security, human review helps catch mistakes that automation misses, such as hallucinated facts, hidden malicious instructions, phishing language, or leaked sensitive data. Attackers also try to exploit weak review processes by flooding systems with convincing fake content or by slipping harmful material into automated pipelines. Defenses usually pair human review with approval gates, role separation, and audit logs so there is proof of who signed off and when. The goal is not to replace automation, but to keep final authority with a accountable person.