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Description
To effectively identify sophisticated threats, it is essential to conduct thorough inspection, extraction, and real-time analysis of all types of content traversing the network. Fidelis' network detection and response technology systematically scans all ports and protocols in both directions, gathering extensive metadata that serves as the foundation for robust machine-learning analytics. By utilizing sensors for direct, internal, email, web, and cloud communications, you achieve comprehensive network visibility and coverage. The tactics, techniques, and procedures (TTPs) of identified attackers are aligned with the MITRE ATT&CK™ framework, enabling security teams to proactively address potential threats. While threats may attempt to evade detection, they ultimately cannot escape. You can automatically profile and categorize IT assets and services, including enterprise IoT devices, legacy systems, and shadow IT, to create a detailed map of your cyber landscape. Furthermore, when combined with Fidelis' endpoint detection and response offering, you obtain a software asset inventory linked to known vulnerabilities, such as CVE and KB references, along with an assessment of security hygiene concerning patches and the status of endpoints. This comprehensive approach equips organizations with the tools needed to maintain a resilient cybersecurity posture.
Description
Fork is a SaaS platform designed for threat modeling that enables both security and product teams to conduct ongoing, risk-oriented assessments of applications by utilizing the established PASTA (Process for Attack Simulation and Threat Analysis) framework. This allows teams to swiftly identify the most probable and significant risks in less than two hours while ensuring that security measures are aligned with business objectives. By merging specialized threat libraries with current vulnerability information and threat intelligence, Fork accurately quantifies residual risks and aids in conducting business impact analyses. The platform also implements quality controls throughout the threat modeling process to enhance overall effectiveness. Additionally, Fork features a consolidated security insights dashboard that links threats directly to the attack surface of your application, while incorporating recognized frameworks and taxonomies like MITRE, OWASP, CWE, CVE (with EPSS), CAPEC, ATT&CK, D3FEND, and ASVS, which facilitates focused mitigation strategies and practical outcomes. This comprehensive approach not only enhances security posture but also fosters collaboration between technical and business teams.
API Access
Has API
API Access
Has API
Integrations
Archer
Checkmarx
Fidelis Endpoint
Fidelis LRM
Google Digital Risk Protection
Intellicta
Mandiant Managed Defense
OpenCTI
Qualys Container Security
ServiceNow
Integrations
Archer
Checkmarx
Fidelis Endpoint
Fidelis LRM
Google Digital Risk Protection
Intellicta
Mandiant Managed Defense
OpenCTI
Qualys Container Security
ServiceNow
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Fidelis Security
Founded
2002
Country
United States
Website
fidelissecurity.com/products/network/
Vendor Details
Company Name
VerSprite Cybersecurity
Founded
2007
Country
United States
Website
forktm.com
Product Features
Data Loss Prevention
Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting
Network Traffic Analysis (NTA)
Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption
