Top 20 Alternatives to HUMAN (formerly White Ops) in Click Fraud Software

Enterprise‑grade fraud detection platform that uses machine learning and real‑time analytics to identify invalid traffic, click farms, and ad fraud across programmatic and direct campaigns.

Forensiq’s fraud detection engine validates every impression and click with a proprietary signal graph, offering granular controls for publishers and advertisers to block fraudulent activity.

Adjust’s anti‑fraud module combines device fingerprinting, anomaly detection, and post‑install validation to protect mobile ad campaigns from click injection and attribution fraud.

A comprehensive fraud protection layer that leverages AI, device‑level signals, and partner network analysis to block click fraud, install hijacking, and SDK spoofing.

Singular’s unified analytics platform includes a fraud detection engine that flags suspicious clicks, bots, and attribution anomalies across all media channels.

DoubleVerify provides real‑time bot detection and viewability measurement, using proprietary AI models to filter out non‑human traffic before it impacts campaign performance.

IAS’s fraud detection suite combines device fingerprinting, traffic source analysis, and pattern recognition to identify and block invalid clicks and impression fraud.

Moat’s ad verification platform includes bot and click fraud detection capabilities, leveraging cross‑device analytics and brand safety signals.

Pixalate offers a full‑stack fraud protection suite that monitors traffic in real time, blocks bots, and provides detailed forensic reports on click fraud incidents.

Cheq’s AI‑driven verification engine protects brands from bot traffic, click fraud, and ad fraud while preserving user privacy with zero‑party data.

A SaaS solution focused on PPC fraud protection that automatically blocks fraudulent IPs, monitors click patterns, and provides alerts for suspicious activity.

ClickGuard detects and prevents click fraud for Google Ads and Bing campaigns using real‑time analytics and automated IP blocking.

Sift’s digital trust & safety platform includes a robust fraud detection engine that identifies malicious clicks, bots, and account takeover attempts.

Kount provides AI‑powered fraud prevention for e‑commerce and ad tech, detecting click fraud, credential stuffing, and synthetic identity attacks.

Forter’s real‑time fraud prevention suite uses machine learning to evaluate each click and transaction, blocking fraudulent activity across the customer journey.

ThreatMetrix delivers device intelligence and behavioral analytics to identify fraudulent clicks, bots, and synthetic traffic.

BotGuard provides server‑side bot detection and click fraud mitigation for publishers, using JavaScript challenges and IP reputation databases.

An AI‑driven platform that monitors ad traffic, flags suspicious click patterns, and automates the removal of fraudulent sources.

MediaMath’s FraudShield integrates directly into the DSP, providing real‑time invalid traffic detection and automated blocking for programmatic buys.

BotStop offers a lightweight JavaScript SDK that identifies non‑human traffic, blocks bots, and supplies detailed analytics on click fraud incidents.