Each approach gets a 0–5 base score on seven criteria, then your profile applies
published modifiers — multi-cloud penalizes legacy coverage, small-team-no-audit boosts
DIY, mostly-on-prem penalizes us. The percentages are those scores summed, unweighted.
This is our model, so assume it flatters us at the margins. Two honest correctives: the
base scores and every modifier ship in this page's source where you can audit them, and
the verdicts are written to be quotable against our own sales team. If a rep contradicts
a verdict on this page, show them this page.
What no model captures: your team's appetite. A DIY stack run by engineers who love it
beats a platform nobody owns. Buy the tool your team will actually operate.
- Time to first real finding
- How long until it surfaces something worth fixing
- Multi-cloud coverage depth
- Breadth and parity across providers and Kubernetes
- Low operating burden
- How little engineering time it takes to run well
- 3-year cost profile
- Licenses plus the people required to operate it
- Continuous audit evidence
- Framework mapping, artifact freshness, auditor access
- On-prem & data-center coverage
- Hardware, hypervisors, and legacy estates
- Customization & control
- Freedom to shape detections, data flow, and internals