Complete newbie to container security - where should I start with Aqua?

Ah, the classic "security as an afterthought" pipeline. Welcome to the club. Since you're already running containers on a VM, start with the one thing that'll give you immediate, tangible results: scanning your local images.

After you sign up, the first thing you should do is install their scanner CLI (probably `aquasec` or `trivy`, they've rebranded a few times) and point it at your Docker daemon. Run it against the images you're actually using. Don't bother with the cloud posture stuff or runtime protection yet. That's the "quick start" - it's just a command line tool.

For a small setup, focus on vulnerability scanning for your built images and the "image assurance" piece, which is basically setting a policy like "don't run images with critical CVEs." The CSPM and runtime defense features are for when you have a cluster and a dozen microservices, not a side project on a single VM.

The big gotcha? Don't let the scanner run in "fail the build" mode straight away. It'll drown you in noise. First, run it in report-only mode, see what you're dealing with, and then create sensible policies. Most beginners turn everything on at once and then spend a week trying to figure out why their base Alpine image is flagged for 50 low-severity libxml2 issues that don't even apply to their app. Start small, get a clean baseline, then automate.

User198's advice to start with the local scanner is solid - that's exactly how I began when I first looked at Aqua for our internal tools. The immediate visibility into your existing images is invaluable.

Based on your mention of loving no-code tools, you'll appreciate that you can set simple policies through their interface without writing anything. Start by creating a basic assurance policy that blocks deployment of images with critical vulnerabilities. This gives you a practical, automated gate right away.

One configuration mistake I made early was scanning every layer of every image, which slowed things down. For your small setup, focus on scanning just your final production images. Also, make sure you're authenticated to any public registries you use (like Docker Hub) before scanning, or you'll hit rate limits quickly.

Great to see you jumping in, Cassie! You've already gotten some solid advice. Since you love no-code automation, I think you'll really click with setting up a simple image assurance policy as your first "hands-on" task after that initial scan.

A practical next step is to connect your registry (like Docker Hub) and your CI, if you have one. That way, the policy you create can work automatically - it can flag or even block a vulnerable image from being built or pulled. It turns that scan from a report into an active gate without you writing a line of code.

One beginner gotcha I'd add: when you set that policy, be careful not to set the vulnerability severity threshold too low initially. Starting with "Critical" only is wise. If you set it to "High" or even "Medium" right away, you might get overwhelmed with findings that need triage before you've even found your footing. You can always tighten it later.

You've already gotten fantastic advice! Since you learn by doing, here's a concrete first command I'd run after setting up the scanner CLI. It's the "quick start" you asked for:

```bash
aqua scan image my-web-app:latest
```

That single scan gives you a to-do list - a real picture of what's in your running containers. The other replies are spot-on about starting with just vulnerability scanning and a simple "Critical only" image assurance policy.

One extra gotcha for a beginner setup: when you create that policy, don't just assign it to "all registries" right away. Test it on a single, specific registry connection first. I've seen people lock themselves out of pulling *any* images because a broad policy had an unexpected conflict.

You're gonna have fun with this. Turning that first scary report into a simple, automated gate feels like a superpower.

Totally agree about testing the policy on a single registry first. I once set a broad policy too early and it blocked a base image pull during a CI run, which was a headache to untangle at 2am. A good next step after that first scan is to hook the scanner into your docker build command, so you get a pass/fail right in the terminal before an image even gets tagged.

That point about not scanning every layer is key. I made the same mistake, and the performance hit was real for no benefit on my tiny project. Scanning just the final image got me 90% of the value instantly.

Also, the registry auth tip saved me. I got throttled hard by Docker Hub on my first few scans because I didn't set up credentials.

Ah yes, the "superpower" of building your first vendor-specific gate. That to-do list from a single scan is a great start, right up until you realize it's a sales funnel for their upsell.

The real gotcha isn't testing the policy on a single registry first. It's realizing that the "simple, automated gate" only works as long as you keep paying for the Aqua platform. Lock-in starts with that first policy. Have you checked what it costs to run those same checks if you decide to walk away in a year?

Ignore the cynicism about vendor lock-in for a moment. The immediate problem is you have a running system you haven't looked at. Start by quantifying your risk.

The first step after signup is to run a scan against your live containers, not just the images. Use `aqua scan host` or the equivalent. This tells you what's actually deployed, including any drift from your base image due to runtime changes. That's your real attack surface.

Your gotcha is misinterpreting the results. Aqua will flag dozens, maybe hundreds, of "critical" CVEs in base images like `debian:stable-slim`. Most are theoretical for your app. Don't panic. Your first policy should only block CVEs with a known, public exploit. That filters out 95% of the noise and gives you a practical, actionable list.

A solid point about scanning your live containers, but I'd caution against starting there. The `aqua scan host` command or runtime agent requires a more complex installation and deeper permissions on your VM. For a true beginner, that's a steeper initial hurdle.

The practical path is to establish your baseline control first: your image pipeline. Your gotcha about exploitability is correct, but it's a secondary filter. The primary filter should be the image's source. Your first policy, before any CVE rules, should be a simple "allow only images from these specific, authenticated registries." This prevents drift from unknown sources and creates a clean, auditable boundary. Then you layer on the vulnerability rules.

You can approximate a runtime scan for your small setup by simply scanning the image tag currently running on your VM. That gives you the same CVE data without the operational overhead of a host agent.

> The practical path is to establish your baseline control first: your image pipeline.

100% agree. That's the same workflow I used - get the scanner CLI integrated into a single Dockerfile build first, just to see it pass/fail. It's a concrete win.

You're right that host scanning is a bigger lift for a beginner, but the "scan the running image tag" tip is a great middle ground. I'd just add one caveat: if you're using a local dev cluster like minikube, you can often run `aqua scan host` in a demo mode with less permission hassle. Still, pipeline first is the right call.

I think the "allow only from specific registries" policy is brilliant as a first rule. It's simple, and it stops that "oops, I pulled from my personal Docker Hub by accident" mistake before any vuln check even runs.