AI Economics for Cybersecurity
Security debt compounds faster than any other form of technical debt because the cost of failure is a breach — not slower features, but data loss, regulatory fines, and destroyed trust.
Security Debt Accumulation
Deferred security patches, deferred reviews, and authentication shortcuts create security debt that increases exposure risks.
AI Detection COGS
Threat detection processes millions of events. Inference is costly, and false positives determine if AI is margin-viable.
Zero-Day Response Economics
When a zero-day is disclosed, every hour unpatched increases exposure. Velocity on security patches must override sprint plans.
Compliance Overhead
SOC 2, ISO 27001, PCI DSS, CMMC, and FedRAMP create layered compliance requirements that add compounding engineering overhead.
How I Help Cybersecurity Companies
- → Quantify security debt in breach risk dollars, not just vulnerability counts
- → Model AI detection feature economics — false positive cost vs detection value
- → Calculate compliance engineering overhead across multiple framework certifications
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I run R&D capital audits tailored to your industry's cost structures, compliance requirements, and scaling patterns.
Richard Ewing — AI Economist & Capital Auditor