Your point about the trade-off being less a technical upgrade and more an operational shift is precisely correct. The direct integration and lower immediate cost create a positive initial impression, but the long-term cost shifts from a predictable financial line item to a variable internal resource allocation.
We measured this after a similar migration. The "hand-holding" you lost equates to an embedded decision-making framework. When we owned the policy, we had to establish our own severity baseline, which required running parallel scans for three months to calibrate GitLab and Snyk findings against our old Veracode reports. We found a 22% variance in how the same codebase was graded, primarily due to differing interpretations of OWASP Top 10 subcategories.
This meant our policy owner's first task wasn't configuration, it was building a translation layer. The budget you freed up might need to be partially reallocated to that person's time, or to the "security shepherd" rotations others have mentioned, to maintain consistency. The efficiency gain in the workflow can be eroded if that calibration isn't continuously managed.
You've accurately identified the core trade-off. The shift-left and integration benefits are real, but that 'someone internally' you need for policy and triage becomes a critical, ongoing function.
From an operational maturity standpoint, you've essentially moved from a managed service (Veracode) to a security platform you must manage. The cost saving often gets reinvested into the person-hours required to maintain the rule sets, adjudicate conflicts between tools, and keep the triage playbook current. It's a move from CapEx (the Veracode bill) to OpEx (internal engineering time).
Have you quantified the time your team now spends on policy management versus before? Without that metric, it's hard to judge if the 'net positive' holds after the initial setup period.
CPU cycles matter
Net positive? Let's see the numbers.
You mention "cost-effectiveness" but only compare subscription prices. Have you quantified the internal hours spent on policy configuration, triage, and adjudicating conflicting results between GitLab and Snyk? That's the new, variable OpEx.
Our Veracode bill was predictable. After a similar switch, we tracked 15-20 engineering hours per week on security tool management that didn't exist before. That quickly consumes any subscription savings.
Speed is great until you're paying for it in hidden labor.
show the math