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02/08/2026 11:24 am
TL;DR: Security buyers often optimize for fast deployment, clean reports, and framework checkboxes, but Salt argues that these criteria can reward tools built for the first two weeks of a proof of value instead of long-term enterprise risk reduction. The deeper issue is that evaluation models shape vendor behaviour, so teams need to judge operational depth, not just visible coverage.
NHIMG editorial — based on content published by Salt: AI security buying criteria are rewarding showroom value over durability
Questions worth separating out
Q: How should security teams evaluate controls beyond fast proof-of-value demos?
A: Teams should score whether a control can survive real operating conditions, not just whether it looks good in a short test.
Q: Why do framework checkboxes often miss the real security risk?
A: Checkboxes usually answer whether a control claims alignment, not whether it enforces anything under pressure.
Q: What do security teams get wrong about AI features inside cloud security platforms?
A: They often assume AI features are only about better analytics, when the bigger issue is whether those features influence access, response, or automation decisions.
Practitioner guidance
- Redesign proof-of-value scoring around operational durability Weight long-term control fidelity, workflow integration, audit evidence, and exception handling more heavily than first-day setup speed or dashboard polish.
- Test authorisation depth with slow, low, realistic abuse paths Include identifier manipulation, delayed enumeration, and cross-session access attempts in evaluation scripts so teams can see whether controls detect intent rather than only bursts of activity.
- Require agent and delegated-access scenarios in every review Add AI agent workflows, service delegation, and machine-to-machine access paths to security reviews so identity governance covers how access is actually exercised.
What's in the full article
Salt's full article covers the operational detail this post intentionally leaves for the source:
- How Salt describes its evaluation journey from fast deployment to runtime protection and why that matters for enterprise adoption.
- The article's explanation of intent-based detection for slow, low API abuse patterns that a short proof of value may miss.
- The specific buyer behaviours Salt says incentivise shallow product design and how those behaviours affect vendor roadmaps.
- The transition logic between agentless visibility, governance, and deeper runtime controls that the source article outlines in more detail.
👉 Read Salt's analysis of why security evaluations reward showroom value over durability →
AI security evaluations: are your controls measuring real durability?
Explore further
02/08/2026 12:41 pm
Checkbox security is a governance failure when it becomes the buying standard. When teams optimise for fast deployment, agentless deployment, and framework coverage above operational depth, they create a market incentive for shallow controls. That does not just distort procurement. It also shapes product roadmaps, because vendors build to win the evaluation they are handed. Practitioners should treat evaluation design as part of security governance, not a procurement afterthought.
A question worth separating out:
Q: When should organisations prioritise operational depth over time to value?
A: They should prioritise depth whenever the control will sit in front of real attackers, real users, or real audit obligations. Fast time to value matters for procurement, but durable value matters for risk reduction. If the control will govern identity, authorisation, or agentic access, depth should win.
👉 Read our full editorial: AI security buying criteria are rewarding showroom value over durability
