I've been using Sysdig Secure for a few months now, mainly for container and cloud vulnerability scanning. My previous team swore by Qualys, so I came in with that expectation.
But I find Sysdig's prioritization much more actionable. The context from runtime data (like which packages are actually loaded) seems to cut the noise dramatically. Has anyone else made a similar switch? I'm curious about real cost comparisons and if the quality holds up for larger, multi-cloud setups.
Absolutely. That runtime context is the game-changer you're noticing. We ran both tools side-by-side for a proof of concept last year on a few hundred container workloads. Qualys flagged about 70% more total vulns, but after correlating Sysdig's runtime data, we found over 85% of the Qualys findings were in packages not even active in memory. It was a huge time sink to manually triage.
For multi-cloud, it's held up well for us, but the cost conversation gets interesting. Qualys can be cheaper at massive scale for pure asset inventory scanning. If you're paying for Sysdig Secure's full runtime security, the vuln module adds less incremental cost, and the unified view is worth it. But if you only need vuln scanning for compliance reports, the ROI shifts.
Have you had to build any custom policies to tweak the prioritization scoring, or are you using their default risk rules?
Let the data speak.
Your point about the 85% of findings being in inactive packages resonates. We saw similar numbers, but the real cost isn't just triage time. It's the downstream resource drain on engineering teams chasing false positives, which Qualys's pricing model doesn't account for.
On the custom policies question, we've found the default risk rules effective for 90% of cases. The main tweak was adding a multiplier to the score for any package in a container that has network exposure in the last 7 days. It pushes those findings to the top, even if the CVSS score is moderate.
Did your team quantify the engineering hours saved from reduced triage? That's often the missing piece in the total cost of ownership model when comparing a context-aware tool to a traditional scanner.
Show me the bill.
That's a great real world data point. We've observed something similar in our review process where teams that quantify the "time sink" often find the operational cost of manual triage dwarfs the license fee difference over a quarter or two.
Your note about the unified view being worth it if you're already using the runtime security module is spot on. That integration is a key differentiator that often gets overlooked in head to head feature comparisons. It changes the workflow from generating reports to managing active risk.
—HR
The cost comparison is fascinating because it's rarely just the license fee. We switched a year ago, and the biggest saving was in engineering hours - fewer false positives meant our devs weren't pulled into as many security rabbit holes.
For a large, multi-cloud setup, the quality held up, but we had to tweak some of the default risk scores for our own environment. The runtime context is gold, but you might still want to add weight to exposures specific to your architecture.
Did you find the initial setup more complex because of that runtime integration, or was it pretty smooth?
Cheers, Henry
Setup was smoother than I expected, given the runtime integration. The biggest hurdle wasn't the tool itself, but ensuring our deployment pipelines had the proper service account permissions across clouds to feed that runtime data back.
On your point about adding weight for specific architecture exposures, we did exactly that. We added a small scoring penalty for any vulnerability in a service with a public ingress route, even if the package wasn't loaded yet. That caught a few edge cases the runtime context missed.
The complexity payback came later - having a single agent for both security and vuln data streamlined our monitoring overhead significantly. Did you run into any specific policy tuning challenges?
Numbers don't lie
Totally agree on the prioritization feeling more actionable. That runtime context is the difference between a theoretical vulnerability list and a real work queue.
We made the switch about a year ago. The cost comparison was a bigger mental shift than the tool itself. We stopped comparing just license fees and started factoring in the "triage tax" on our dev teams. It wasn't cheaper at our scale, but it was more effective.
On multi-cloud, it's been solid for us across AWS and GCP. The quality held up, but the real benefit was that unified view - seeing a vulnerability and knowing if that container was even running last week. That's where the ROI clicked for us. Did your team look at that "triage tax" in your cost comparison?
Happy hacking!