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ransomware
Human-in-the-Loop vs Human-on-the-Loop: What's the Difference?
The article contrasts human-in-the-loop and human-on-the-loop oversight models for AI-driven security operations centers (SOCs). Human-in-the-loop, which requires analyst approval for every AI action, creates bottlenecks at scale when SOCs handle thousands of daily alerts. Human-on-the-loop, where AI acts autonomously while humans monitor and can intervene, offers better efficiency for mid-risk, reversible decisions while reserving human pre-approval for irreversible, high-consequence actions like system isolation.
Why it matters: SOC leaders and security practitioners need to match AI oversight models to decision risk and reversibility; applying human-in-the-loop universally wastes analyst time on high-volume routine decisions when human-on-the-loop with monitoring provides adequate control for most threat detection and investigation tasks.
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- First seen by Cybersecurity Tracker
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ransomware
Human-in-the-Loop vs Human-on-the-Loop: What's the Difference?
Security Operations Centers (SOCs) should adopt risk-based oversight models for artificial intelligence (AI) rather than requiring human approval for every action. Human-in-the-loop oversight, where analysts must sign off on each AI decision, creates a bottleneck that undermines automation benefits when handling thousands of daily alerts. Human-on-the-loop oversight, where humans monitor and can intervene without pre-approving each action, offers a more efficient alternative for low-risk, reversible decisions, while human-in-the-loop remains necessary for high-stakes, irreversible actions like system isolation during attacks.
Why it matters: SOC teams and security leaders evaluating AI-driven defense tools need to match oversight models to decision risk and reversibility to avoid turning automation into a manual approval bottleneck that reduces team efficiency and threat response speed.
- Source published
- First seen by Cybersecurity Tracker