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What is Tutamen Threat Model Automator?

The Tutamen Threat Model Automator features an intuitive user interface, well-defined taxonomies, and a variety of output formats. Designed to bolster security measures during the architectural phase, it is particularly effective in addressing potential flaws when rectifying them is most economical. By reducing human error and inconsistencies, it facilitates a more efficient input of variables. This innovative tool generates a flexible threat model that evolves alongside the project's design. In addition, the Automator can produce a range of reports customized for different stakeholders throughout your organization, extending its utility beyond just one project. You will find its functions familiar and easy to utilize, eliminating the need for any new software training. Furthermore, it integrates effortlessly with commonly used applications like Microsoft Visio and Excel, enhancing its practicality. Ultimately, this solution empowers teams to fortify their security measures with minimal interruption to their current workflows, ensuring a more resilient architectural process. As a result, organizations can expect improved adaptability and efficiency in managing security protocols.

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.

Media

Media

No images available

Integrations Supported

Microsoft Visio

Integrations Supported

AWS Lambda
AWS WAF
Akamai
Fastly
Google Analytics
Google Cloud Platform
Human Defense Platform
IBM QRadar SIEM
Kubernetes
Magento
Microsoft Azure
Okta
Opsgenie
PagerDuty
Palo Alto Networks Next-Generation Firewalls
Salesforce
Siemplify
Slack
Snyk

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Tutamantic Sec

Date Founded

2015

Company Location

United Kingdom

Company Website

www.tutamantic.com

Company Facts

Organization Name

HUMAN Security

Date Founded

2012

Company Location

United States

Company Website

www.humansecurity.com/applications/cyberfraud-defense/

Categories and Features

Threat Modeling

Not specified

Categories and Features

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