Hey everyone, been diving deep into vulnerability management for our cloud workloads as part of a broader revops security hygiene push. We need clean data for risk-weighted sales forecasts, so accuracy in our scans is non-negotiable. I'm trying to settle a debate internally about scanning our sprawling fleet of VMs (mix of managed and legacy, across AWS and Azure).
The core question: **For finding OS and application vulnerabilities on VMs, have you found agent-based or agentless scanning to provide more accurate, actionable results in production?**
I get the theoretical trade-offs. My practical experience in sales automation has taught me that the "perfect" data model often breaks down in the messy real world, and I suspect the same is true here.
From my testing so far:
**Agent-based (tried a couple of the big CWPP players):**
* Seems to have fantastic visibility into running processes, libraries loaded in memory, and detailed configuration files.
* The depth of data is great... but I've seen false positives related to kernel-level checks that don't consider effective patch status correctly.
* The bigger headache is coverage gaps. Getting agents deployed and maintained on every VM, especially developer-managed or temporary instances, is an operational slog. Missing assets means blind spots, which is worse than a slightly less accurate scan on a known asset.
**Agentless (testing CSPM/CNAPP platform tools):**
* The appeal is obvious from an operations standpoint: no deployment nightmare, instant visibility into net-new assets.
* However, I'm questioning the accuracy. It often relies on querying the package manager (like `dpkg` or `rpm`) or analyzing disk snapshots. Does this truly reflect what's *running*?
* What about vulnerabilities in services that are installed but not via the package manager?
* What about containers running on the VM? I've seen some tools completely miss the layers inside a running Docker container if they only look at the host OS.
So, my grounded, practical questions for those who've run both:
1. In your hands, which method has given you a **higher fidelity list of actual, exploitable vulnerabilities**, leading to better prioritization?
2. How significant are the coverage gaps with agents versus the potential "surface-level" scanning of agentless in a dynamic environment?
3. For legacy systems or VMs with stringent compliance requirements, did one method consistently prove more reliable?
I'm leaning towards a hybrid approach, but I need to justify the overhead. Love to hear your war stories and data points
Pipeline is king.