Modern Defense Against Bot Attacks, Fraud, and Account Takeover.
HUMAN (formerly White Ops) is a global leader in cybersecurity, specializing in protecting enterprises from bot-driven fraud and sophisticated digital attacks. Their technical architecture is built upon the 'Human Verification Engine,' which utilizes a multi-layered detection strategy combining technical evidence, machine learning, and continuous human-led research. As of 2026, HUMAN has scaled its visibility to verify over 20 trillion digital interactions per week, providing a unique vantage point to identify and block non-human behavior with high precision. The platform operates primarily at the network edge, integrating with CDNs and cloud infrastructure to mitigate threats like scraping, account takeover (ATO), and inventory hoarding before they reach the application layer. Their market position is established as the gold standard for AdTech verification (Media Guard) and is increasingly dominant in e-commerce protection (Bot Guard). By focusing on the 'collective protection' model, signals detected on one client's network are instantaneously used to harden defenses across the entire HUMAN ecosystem, making it a preemptive rather than reactive security solution.
HUMAN (formerly White Ops) is a global leader in cybersecurity, specializing in protecting enterprises from bot-driven fraud and sophisticated digital attacks.
Explore all tools that specialize in ad fraud detection. This domain focus ensures HUMAN delivers optimized results for this specific requirement.
Uses 2,500+ signals to differentiate between human behavior and automated scripts without relying on invasive CAPTCHAs.
A cross-network intelligence layer where a threat identified on one site updates the blocklist for all clients globally.
Native integration with major CDNs (Cloudflare, Akamai, Fastly) to block bots at the edge.
Deep analysis of advertising traffic to identify Sophisticated Invalid Traffic (SIVT).
Analyzes keystroke dynamics, mouse movements, and accelerometer data to verify human presence.
AI-driven proactive scanning of client traffic to find anomalous patterns that suggest new bot variants.
Identifies bot-driven payment fraud and gift card cracking attempts at the point of sale.
Initial architecture review and identification of high-risk endpoints (Login, Checkout, Search).
Selection of deployment method (Cloudflare Worker, Akamai EdgeWorker, AWS Lambda@Edge, or JS Tag).
Deployment of the HUMAN Signal Collector to gather non-PII telemetry data.
Configuration of the 'Verification Engine' to establish baseline legitimate traffic patterns.
Shadow Mode Activation: Monitoring traffic without blocking to calibrate false-positive rates.
Integration with SIEM tools (Splunk, Datadog) for real-time observability.
Policy Tuning: Defining custom mitigation actions (Block, Challenge, Hard-Flag).
Migration to 'Enforcement Mode' for real-time bot blocking.
Setup of the Dashboard for Stakeholder Reporting (Marketing vs. Security views).
Quarterly Business Review (QBR) and threat-hunting session with HUMAN specialists.
All Set
Ready to go
Verified feedback from other users.
"Highly regarded for its technical depth and accuracy. Users praise its 'silent' nature which doesn't disrupt user experience, unlike legacy CAPTCHA systems."
Post questions, share tips, and help other users.
SpyCloud uncovers hidden identity risks across user exposure in data breaches, malware infections, and phishing attacks, automatically remediating them to stop account takeover, ransomware, and fraud.
AI-powered vulnerability detection and risk assessment platform.
Human-led, AI-powered MDR that finds what matters, and filters out what doesn’t.
Recorded Future empowers organizations with intelligence to identify and neutralize threats before they impact their business.
The world’s most widely used open-source web application security scanner for automated DevSecOps and manual pentesting.
The industry-standard Python suite for deconstructing and analyzing malicious Microsoft Office documents.
