Which security testing methods fit a serverless app?
Serverless apps are small functions with many triggers and heavy dependencies. See which testing methods fit, which struggle, and a sensible order.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Serverless apps are small functions with many triggers and heavy dependencies. See which testing methods fit, which struggle, and a sensible order.
Sort year one security work by how often it recurs and who must decide: access reviews and triage can be part time, program direction and incidents cannot.
Which incidents deserve a written postmortem? Agree objective triggers before the next one: data loss, manual detection, rollbacks and severity levels.
Log authentication outcomes, authorization failures, validation failures and changes to sensitive objects. Here is a practical event list with fields.
A hotfix can shorten the process but not drop the safety checks. Here is what to keep, what to defer, and how to catch up within a few days.
Pull request checks, release scans and new-advisory rescans do not deserve equal priority. A simple lane model keeps developers fast and coverage fresh.
Sorting an SCA report by severity alone buries real risk. Sort by exploit signal and scope first, then reachability, then severity. Here is the order.
When dependency updates slip, check the support dates of your language runtimes first. Here is what Python and Node.js publish and how to track it.
How to choose your first repository for supply chain security: customer exposure, deploy frequency, access and dependency count, with a scoring method.
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