Skip to content
product
Data quality: Editorially Reviewed
Subscription
Software & technology
Cyber threat detection & response
Fraud detection
Infrastructure, network & endpoint security
API / SDK
Predictive / classical ML
Horizontal platform
SaaS (vendor-hosted)
Governance, Risk & Compliance
Enterprise / custom quote

HUMAN Sightline Cyberfraud Defense

Governance, Risk & Compliance

Visit website

Overview

HUMAN Sightline Cyberfraud Defense is a bot management and cyberfraud defense platform that uses AI and machine learning to protect organizations from automated attacks, credential stuffing, account takeover, payment fraud, and digital ad fraud. It analyzes billions of interactions across web, mobile, and API channels to identify and block malicious bots while allowing legitimate automated traffic. The platform provides real-time threat intelligence, behavioral analysis, and automated response to protect digital businesses from fraud at scale.

Pricing model
Subscription
Deployment
SaaS (vendor-hosted), API / SDK
Regions served
Global
Categories
Subscription, Software & technology, Cyber threat detection & response, Fraud detection, Infrastructure, network & endpoint security, API / SDK, Predictive / classical ML, Horizontal platform, SaaS (vendor-hosted), Governance, Risk & Compliance, Enterprise / custom quote
Last updated
2 October 2026
Published
2 October 2026

Use cases

Infrastructure, network & endpoint security
Fraud detection
Cyber threat detection

Deployment options

SaaS (vendor-hosted)
API / SDK

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
humansecurity.com
Sources cited
2
Last reviewed
27 September 2026
Last updated
2 October 2026

Spotted something out of date?

Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.