How We Keep False Positives Low Without Missing Real Attacks
A noisy scanner trains your team to ignore it. Here's the verification pipeline that lets ExploitShield stay both sensitive and trustworthy.
The hardest part of detection is not finding suspicious behavior — it is deciding which suspicious behavior is actually an attack. Aggressive rules catch everything and cry wolf; conservative rules stay quiet and miss the skimmer.
Our answer is layered scoring. A single signal — a new domain, an obfuscated string — never fires an alert alone. We combine behavioral, reputational, and structural signals into a score, and only crossings of a calibrated threshold are escalated.
Anything that scores high is then reproduced. We re-run the page in a fresh session and confirm the behavior repeats before a human or a webhook ever hears about it. Transient flakiness dies here, not in your inbox.
Finally, your baseline does the heavy lifting. Because we know what normal looks like for your specific site, a legitimate analytics update reads as expected change — while the same shape of change on a payment path gets the scrutiny it deserves.