This whitepaper from Cofense argues that modern phishing defense requires more than AI-driven automation because today’s attacks use AI-generated, polymorphic techniques that can evade traditional detection models and secure email gateways. While AI improves speed and scale, the report highlights limitations such as false negatives, alert fatigue, inconsistent classifications, and lack of explainability. Cofense advocates a human-supervised AI approach that combines automated detection and remediation with expert analyst validation, creating a continuous feedback loop that improves accuracy over time. The model enables faster post-delivery phishing detection, more confident remediation, reduced SOC workload, stronger employee awareness training, and better support for regulated industries that require auditability and transparency. The report concludes that effective phishing defense depends on balancing automation with human expertise to improve both security outcomes and operational efficiency.

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