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What is HUMAN Sightline Cyberfraud Defense?
HUMAN Sightline Cyberfraud Defense is a cyberfraud prevention platform that helps organizations govern interactions from humans, bots, AI agents, and automated systems across web, mobile, and API channels. The platform is designed to determine which traffic and sessions are legitimate while identifying malicious automation, human-led fraud, abuse, and misuse. It addresses threats including account takeover, compromised accounts, fake account creation, content scraping, transaction abuse, data contamination, and risks associated with agentic AI. HUMAN analyzes behavior across the full session and multiple authentication stages rather than making decisions based only on individual requests or isolated events such as login and checkout. This layered approach allows the platform to correlate activity over time and build additional context around suspicious behavior. Adaptive AI models learn from detection and mitigation outcomes so defenses can adjust as attackers change tactics and infrastructure. High-fidelity decisioning helps security teams determine whether to allow, challenge, govern, or block specific interactions based on the available signals. Mitigation and governance capabilities are combined with reporting and investigation tools so teams can understand how threats were detected and respond to broader attack campaigns. HUMAN also provides AI-enhanced investigation capabilities intended to help security teams examine threat networks, study attacker behavior, and shorten response cycles. The platform is supported by HUMAN’s Satori Threat Intelligence Research Team, which contributes threat research and intelligence used across the company’s fraud and application protection capabilities.
What is Dynamics 365 Fraud Protection?
In today's digital age, businesses that embrace digital transformation primarily operate online in real-time, which significantly reduces the reliance on human intervention. This approach not only cuts costs and improves customer experiences but also exposes companies to considerable risks associated with fraud from individuals who take advantage of the anonymity and accessibility of the internet. For example, in e-commerce, fraudulent activities can stem from compromised accounts and stolen financial details. Moreover, deception can manifest in various ways, such as account hijacking, improper use of free trials, fraudulent product reviews, warranty exploitation, refund scams, resale fraud, and manipulation of discount schemes. Such fraudulent behaviors can have detrimental effects on both a company’s financial performance and its reputation in the marketplace. Unlike in the early internet days, when fraudulent acts were often isolated incidents, contemporary scams are frequently carried out by organized, well-resourced groups of professionals skilled in exploiting online systems. As cyber threats continue to evolve, it is crucial for organizations to adopt a proactive strategy to effectively protect themselves against these advanced fraud tactics. The need for enhanced security measures and vigilant monitoring has never been more critical in safeguarding business interests.
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Integrations Supported
AWS Lambda
Adobe Analytics
Akamai
Apigee
Cloudflare
Datadog
Exabeam
Fastly
Google Analytics
IBM QRadar SIEM
Integrations Supported
AWS Lambda
Adobe Analytics
Akamai
Apigee
Cloudflare
Datadog
Exabeam
Fastly
Google Analytics
IBM QRadar SIEM
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
HUMAN Security
Date Founded
2012
Company Location
United States
Company Website
www.humansecurity.com/applications/cyberfraud-defense/
Company Facts
Organization Name
Microsoft
Date Founded
1985
Company Location
United States
Company Website
learn.microsoft.com/en-us/dynamics365/fraud-protection/
Categories and Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Categories and Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval