Traffic Integrity
Forensic visibility for suspicious traffic before it distorts incidents or growth signals.
Source Patterns
Clustered source patterns show whether unusual traffic is just background noise or a coordinated behavior that needs stronger suppression and better incident context.
Product depth
Anomaly Log Hunter is not another raw-log viewer. It turns suspicious traffic into a shared operating surface where Security can explain abuse, Growth can protect attribution, Platform can prioritize containment, and leadership can see whether traffic quality is distorting revenue or incident posture.
GTM analyst lens
Separates real buyer interest from scraper loops, synthetic referrals, and bot-driven campaign noise before teams make budget or funnel calls from polluted data.
Value architect lens
Connects abnormal request behavior to blocked coverage, route sensitivity, and estimated commercial exposure so remediation can be framed as recoverable margin.
Technical buyer lens
Keeps fingerprint, source, ASN, burst rate, route pattern, and containment status attached to each event instead of reducing incidents to vague traffic spikes.
Executive lens
Shows which abuse class to suppress first, which route is most exposed, and whether the next action is block, monitor, escalate, or explain to the business.
What these repos have in common
This repo follows the same pattern as the broader suite: model a messy operational lane, name the risk in buyer-readable language, attach an owner and next action, expose reusable JSON, and ship a static proof surface that can be reviewed without internal system access.
Pattern SRC-01
The same browser fingerprint is sweeping commercial pages with zero scroll variance, which is more scraper than buyer.
Pattern SRC-02
Credential-stuffing attempts are rotating IPs but keeping the same path cadence and header inconsistencies.
Pattern SRC-03
These sessions mimic campaign traffic well enough to pollute attribution unless their pathing and timing are inspected together.