Your first abuse rule shouldn't take 3 sprints
Most startups hit their first abuse incident somewhere between Series A and B. A user finds an exploit. Someone starts scraping. Fake accounts show up in batches.
The typical response? A Slack thread, a hastily written regex, a deploy that breaks something else, and a TODO to "build a proper system later."
That TODO never gets done.
Here's what we've learned building detection systems: the hard part isn't writing the rule. It's the lifecycle around it — versioning, testing against production traffic without enforcing, rolling back when it catches false positives, and keeping a paper trail of what changed and why.
The pattern that works:
Evidence first. Start from the incident, not from a hypothetical threat model. Real abuse data beats guesswork.
Propose, don't deploy. Let automation draft the rule. A human should gate the decision. Always.
Test before enforce. Shadow mode against live traffic. See what it would have caught. See what it would have blocked incorrectly.
Make it reversible. Every defense should have an undo button. The blast radius of a bad rule is worse than the original abuse.
This is exactly what we built Halation to do. If you're a CTO staring down your first T&S problem and don't want to burn an entire sprint on it — we should talk.