Having recently completed a migration of our container image and runtime security scanning from Aqua Security to Sysdig Secure, our team encountered several non-obvious integration breakages that required significant re-architecture of our CI/CD and runtime enforcement pipelines. The core promise of both platforms is similar, but the operational models and API abstractions differ profoundly, leading to a cascading series of issues.
The primary fracture points occurred in three key areas:
* **Policy Translation and the "Default-Deny" Model:** Aqua's policy constructs, particularly around blocking images based on vulnerabilities or compliance checks, were deeply embedded in our CI pipeline via inline CLI steps. Sysdig's approach, while more Kubernetes-native, uses a post-scan admission control model that required us to re-think our entire gatekeeping strategy.
* Our legacy Aqua enforcement relied on a brittle but explicit pattern:
```bash
aqua-cli scan --image ${IMAGE} --policy my-strict-policy --enforce
# Build fails with exit code on violation
```
* Sysdig necessitates a shift towards a scanner-as-a-service model, where the CI job triggers a scan via API and then queries for the result. The policy definition moved from a CLI flag to a web console/API-managed entity, creating a state management challenge for our Infrastructure as Code (IaC) workflows.
* **Runtime Security Policy Migration:** This was the most disruptive. Aqua's runtime policies, defined as a series of process, network, and file system rules, do not map cleanly to Sysdig's Falco-based rule syntax. We attempted a naive translation that resulted in both excessive alert noise and critical gaps.
* Example: An Aqua rule blocking `apt-get update` on a production container translated to a Sysdig/Falco rule. However, the default syscall capture scope in our Sysdig agent configuration omitted certain namespaces, allowing the activity to go undetected until we reconciled the agent configuration with our node pool labels.
* **API and Webhook Integrations:** Our existing notification and ticketing systems were wired to Aqua's specific webhook payload schema. The Sysdig event payload structure is fundamentally different, requiring a full rebuild of our downstream `logstash` filters and Slack alert formatting modules. Furthermore, the Sysdig API rate limits and pagination model necessitated a complete rewrite of our custom compliance reporting scripts.
The underlying theme is that migrating between CNAPP/CWPP vendors is not a simple "lift-and-shift" of policies and alerts. It is a re-platforming project that touches:
- CI/CD pipeline logic and failure states
- Kubernetes admission controllers (if using `ImageScanner` or `ImageAdmissionController` resources)
- Agent DaemonSet configurations and their resource footprints
- Existing compliance automation built around vendor-specific data models
I am interested in hearing from others who have undergone similar migrations. Specifically, how did you approach the translation of runtime security rules in a systematic way, and did you find any tools or methodologies to create a parallel run period for validation before the cutover?
Hey, I've been right where you are. I'm a senior DevOps lead at a mid-size SaaS company (around 300 people), and we run a couple hundred microservices on EKS with deployments pushing through a GitOps pipeline. We actually evaluated both Aqua and Sysdig about 18 months ago before making our own choice. Here's my take on the concrete differences we saw.
* **Enforcement Model & CI/CD Friction:** You hit the nail on the head. Aqua's CLI is a command you run and it returns an exit code. It's simple and fits right into a traditional CI script. Sysdig's model is based on scanning a registry image *after* it's built, then using a Kubernetes ValidatingWebhook for admission control. This broke our "fail-fast" mindset. We had to restructure our pipeline to push images to a staging registry, trigger a scan via API, and then poll for results before promoting, adding ~90 seconds to our CI time.
* **Runtime Focus vs Build-Time Focus:** Sysdig's clear win is its runtime security. The ability to automatically create a Falco rule from a runtime event we want to block is incredible. Aqua feels more like a scanner that added runtime features. If you care most about keeping vulnerable images out of your registry, Aqua's model feels tighter. If you're equally worried about what happens after deployment (lateral movement, crypto mining), Sysdig's unified view is a game-changer.
* **Cost Structure & Scaling:** Aqua's licensing felt more per-host/node, which was predictable but could get steep. Sysdig's consumption model based on scan volume and runtime monitoring hours got complex quickly for us. At our scale, running ~50,000 container scans a month, Sysdig came in at about 15-20% more expensive than the Aqua quote we had, but that included their runtime features which Aqua charged extra for.
* **Policy Portability:** Migrating policies was the biggest hidden effort. Aqua's are very prescriptive (these specific CVEs, this severity). Sysdig's policies are more behavioral (a container running with privileged mode). We couldn't just copy rules over; we had to redefine what "secure" meant in Sysdig's terms, which took two engineers about three weeks.
My recommendation is Sysdig, but only if you are all-in on Kubernetes and need that runtime protection story. It's a more powerful platform if you use the whole thing. If your main goal is shifting left and enforcing strict, vulnerability-based gates in CI without a major pipeline overhaul, Aqua is simpler and probably less frustrating. To make the call clean, tell me: what's your container platform (plain VMs, ECS, Kubernetes), and what percentage of your security concern is build-time vulns vs runtime threats?
That shift from CLI exit codes to a post-scan admission model is brutal. You're now dependent on the scanning service's availability and latency, which can cripple pipeline velocity.
We ran into a similar wall. Our fix was to implement a two-stage check in CI:
1. A quick, local `trivy` scan with a high-threshold policy as a fast-fail gate. (Doesn't replace Sysdig, but catches critical issues early.)
2. The asynchronous Sysdig API call, but we had to add aggressive polling and a timeout. If the scan doesn't return in 120 seconds, we let it pass but flag the deployment for manual review.
It added complexity we didn't have with the old Aqua CLI model. The webhook is cleaner for runtime, but it moves the failure point later, which can be expensive.
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Exactly. That shift from a CLI exit code to a service API call is the real killer. We had to build a whole internal "scan orchestrator" just to manage the polling and timeouts you mentioned. It felt like we were re-implementing a queuing system they should have provided.
The brittle but explicit Aqua pattern at least gave us a clean, immediate failure in the developer's face during CI. Moving that enforcement later, even with webhooks, just creates this weird limbo state for the image. Did it pass? Is it just slow? 😅
What did you do for alerting when a scan finally fails *after* the image is already in the registry? We ended up wiring those webhook rejections back into our Slack pipeline channel, but it's messy.
Happy customers, happy life.
You're describing a really common pain point. That shift from a simple CLI to a service API forces a whole new mindset around state management. We had to build a similar "scan orchestrator," and the hardest part was designing a clean way to report the status back to the developer. We ended up adding a comment to the pull request with a link to the Sysdig scan results, but it's still a step removed from the immediate feedback they got with the old Aqua CLI exit code.
It makes you appreciate how deeply a security tool's operational model can dictate your pipeline architecture.