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Description

IDLive Face Plus enhances the capabilities of IDLive Face by integrating robust injection attack detection alongside presentation attack detection, ensuring a high level of security against deepfakes and various forms of deceptive digital imagery. It effectively identifies injection attacks that utilize both virtual and external cameras, safeguarding against unauthorized modifications of browser JavaScript on desktop and mobile platforms. Additionally, it thwarts man-in-the-middle replay attacks and protects against the use of emulators, cloning applications, and other fraudulent software. This solution significantly boosts the performance of presentation attack detection, which is critical for facial recognition security to confirm that a biometric selfie is genuinely a live image rather than a fraudulent representation, such as a printed photo, screen replay, or 3D mask. By merging award-winning presentation attack detection with a distinctive approach to injection attack detection, IDLive Face Plus offers a comprehensive shield against deepfakes and other forms of digital deception, making it a vital tool in today’s security landscape. As threats evolve, the need for advanced detection methods becomes increasingly crucial.

Description

Based on your specific requirements, risk tolerance, and existing security condition, Silent Break Security will collaborate with you to create a tailored assessment strategy that aligns with your particular environment. Our range of services can be provided through various methodologies, including black-box, white-box, or hybrid techniques. The black-box methodology simulates an external attacker's perspective, requiring no prior insider knowledge of the target system or application, which closely mirrors the tactics used by actual hackers. Conversely, the white-box approach allows for greater interaction with clients, enabling a more comprehensive evaluation and enhancement of the target application or network, although it may not fully replicate the behaviors of real-world attackers. It is important to recognize that experienced attackers often mask their actions by integrating harmful activities with normal user operations, making detection challenging. Ultimately, organizations aim to enhance their capabilities in threat identification, attack detection, and the overall fortification of their security posture, ensuring they are better prepared for potential threats.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Docker
IDLive Face
JavaScript

Integrations

Docker
IDLive Face
JavaScript

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

ID R&D

Country

United States

Website

www.idrnd.ai/idlive-face-plus-injection-attack-detection-deepfake-protection/

Vendor Details

Company Name

Silent Break Security

Founded

2011

Country

United States

Website

silentbreaksecurity.com/services/

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