Hey everyone, I've been knee-deep in integrating various security telemetry feeds into our SIEM and orchestration platforms (using Make, mostly), and a recurring topic with my devops team is runtime security. We've been evaluating Aqua Security's platform, and there's a lot of buzz around its zero-day detection capabilities.
I'm inherently skeptical of "silver bullet" claims, especially when we're talking about hooking these systems into our automation. My question for the community is: based on your hands-on experience, does Aqua's runtime detection **genuinely** catch novel, unknown exploits in real-time, or is it primarily effective at flagging *known* malicious patterns and policy violations?
From my integration work, I know that most systems rely on a combination of:
* **Behavioral baselines** (deviations from normal process trees, file access)
* **Known malicious signatures** (hash-based, script patterns)
* **Policy enforcement** (like blocking unexpected outbound connections)
Where does Aqua truly excel? I'm particularly interested in the concrete mechanics. For instance, when it flags something as a "zero-day," what is the actual data source and logic?
* Is it correlating unexpected memory allocations with anomalous network sockets from a specific container?
* Does it leverage something like eBPF to trace syscall sequences that have never been seen in your environment before?
I set up a test webhook from Aqua to a Make scenario to log and categorize their runtime alerts. The structure of the incoming JSON payload is telling. Most alerts we've received so far are for things like:
* `alert_type: "Suspicious process execution"`
* `indicator: "Known malware family behavior"`
This feels more like smart behavioral heuristics than magic zero-day discovery.
**The big gotcha** I'm trying to navigate: If it's primarily heuristic, the tuning and false-positive management become a huge integration task. We'd need to feed alert data back into our ticketing system and have a way to refine policies over API. Has anyone built a feedback loop like this?
Would love to hear your stories, especially if you've connected Aqua to other tools (SOAR, Slack, Jira). What are you *actually* seeing blocked or alerted on that was truly a "day-zero" exploit? Any workflow pitfalls or data sync challenges with their API?
-- Ian
Integration Ian