Why Security Leaders Demand Human-Readable Logic
Black box AI security tools that output opaque risk scores without explanation are creating operational bottlenecks in SOCs. When analysts can't explain why a legitimate email was quarantined, they lose control of their defense and credibility with stakeholders. The case is made for explainable, human-readable AI detection logic — natural language policies that let any analyst instantly audit verdicts, tune rules conversationally, and adapt to new threats without vendor dependency. This approach democratizes detection engineering, empowers junior analysts, and satisfies compliance audits. The post concludes with a pitch for Doppel's agentic email security platform built on natural language policies.