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Description
The fundamental operation of PFM involves establishing your own business network to gather data from connected devices, allowing for centralized management and oversight through a single account interface. After logging into your PFM Cloud account, you can set up customer accounts, which may include service providers and their associated subaccounts. Client accounts are those that host the rented devices, enabling efficient organization. PFM Cloud interacts with an application known as PFM Agent, which should be installed within the network housing the devices; this application is responsible for transferring the gathered data back to your cloud account. Furthermore, PFM Agent ensures the security of the information by transmitting it through a completely secure and encrypted connection. Additionally, for each customer account, you can conduct multiple installations, necessitating the configuration of a PFM Agent for every client account added to your business network, thereby facilitating the aggregation of all distinct network locations. This interconnected system not only streamlines data management but also enhances operational efficiency across various customer accounts.
Description
ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud.
By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices.
Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign.
Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$79/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PFM Cloud
Website
www.pfmcloud.com
Vendor Details
Company Name
ShieldLabs Inc
Founded
2025
Country
United States
Website
shieldlabs.ai/
Product Features
Product 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