Just finished my third month with Orca Security and I'm hitting a wall with alert fatigue. The initial setup was great – it found things we'd missed for years. But now my team is drowning in hundreds of "critical" alerts every week, most of which are stale, low-risk, or duplicates.
I've started digging into the alert logic and it seems like a volume game. For example:
* We get a new critical alert every time a dev spins up a temporary container with a package that has a known CVE, even if that container is destroyed in 20 minutes.
* The same misconfigured S3 bucket triggers daily "new" findings because of how they track state.
* The "noise" makes it easy for the genuinely urgent fix (like a publicly exposed database) to get lost in the pile.
Has anyone else run into this? I'm trying to build a filtering system outside of Orca to prioritize, but that defeats the purpose of paying for their platform. I'm curious about:
* What tuning strategies have worked for you? Are you heavily using suppression rules or adjusting severity?
* How does the alert volume/quality hold up after 6+ months in production?
* Any clever ways to integrate this with our ticketing system (Jira) without creating a ticket for every single finding?
I'm about to do a deep dive on our last 30 days of alerts to build a cost-per-actionable-finding metric. The initial value was high, but the ongoing operational overhead is getting expensive in engineering time.