TL;DR: Coverage is the limiting factor in Security Design Review, according to Seezo. When review only reaches part of the decision flow, governance turns into triage and lower-profile systems can move ahead without scrutiny.
Editorial analysis by NHI Mgmt Group, based on content published by Seezo: “Build vs. Buy: The Wrong Debate for Security Teams”.
Key questions
Q: Why do prototype LLM review tools become expensive to operate in production?
A: Because the hard part is not generating an answer once, but keeping that answer stable, reproducible, and current as models and security standards change.
Q: How can security teams tell whether SDR is actually improving governance?
A: Look for broader decision coverage, fewer design choices requiring manual relay by security engineers, and stable findings across repeated reviews.
Q: What breaks when security design review tools cover only part of the delivery flow?
A: Review becomes a triage system instead of a governance control.
Practitioner guidance
- Measure design review coverage across the full delivery flow Map where security decisions are made across architecture docs, tickets, sprint planning, Slack, and product specs, then quantify what percentage receives review before implementation.
- Separate prototype validation from production readiness Test whether the review system produces stable findings across repeated runs, document types, and model versions before relying on it for real architecture decisions.
- Build governance for rule and model changes Treat prompt frameworks, decision trees, and model version updates as controlled changes that need benchmarking and regression checks against prior reviews.
Bottom line: Security design review becomes a governance problem when a tool can only cover a fraction of the decisions the organisation makes.
Glossary terms: Security Design Review, Coverage debt, Model Lifecycle Management, Control Consistency
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Coverage, not feature depth, is the true design review problem. Security teams do not fail at SDR because they lack another prompt or another model. They fail when review capacity does not match the volume and speed of design decisions moving through the organisation. The practical consequence is that high-risk systems get attention while the long tail ships without architectural scrutiny, so the control boundary is defined by staffing, not policy.
A few things that frame the scale:
- AI-related credential leaks surged 81.5% year-over-year in 2025, with the surrounding AI infrastructure leaking 5x faster than core LLM providers, according to the State of Secrets Sprawl 2026.
A question worth separating out:
Q: Should organisations build or buy security review capability when design volume is rising?
A: The better question is whether scarce security engineering time should maintain review machinery or improve decision quality. Build only when the organisation has genuinely unique workflows and the capacity to run a control-like product; otherwise, use the team to review more attack paths and influence earlier design choices.
👉 Read our full editorial: Build vs. buy for security design review is really a coverage problem