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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

Silmaril is an innovative defense mechanism against prompt injection that autonomously heals itself, aiming to safeguard AI systems from sophisticated, multi-layered threats that conventional barriers cannot mitigate. Unlike traditional methods that merely filter inputs, it envelops inference calls, assessing whether the sequence of actions is steering towards a detrimental result. By employing a multihead classifier, it evaluates user intentions, application contexts, and execution states simultaneously, which allows it to identify indirect injections, multi-turn attack sequences, context manipulation, and tool exploitation before any harm can occur. To enhance its protective capabilities, Silmaril incorporates autonomous threat-hunting agents that explore systems, identify weaknesses, and produce synthetic training data based on actual attack incidents. These findings facilitate automatic model retraining, allowing for the deployment of updated defenses in less than an hour, while simultaneously disseminating anonymized protective measures across all instances. Moreover, this proactive approach ensures that the system remains resilient against emerging threats, adapting continuously to the evolving landscape of cybersecurity challenges.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Agent Development Kit (ADK) No 
Claude No 
Claude Code No 
CrewAI No 
Docker Yes 
IDLive Face Yes 
JavaScript Yes 
LangChain No 
OpenAI No 
OpenClaw No 
Python No 
TypeScript No 
Vercel No 

Integrations

Agent Development Kit (ADK) Yes 
Claude Yes 
Claude Code Yes 
CrewAI Yes 
Docker No 
IDLive Face No 
JavaScript No 
LangChain Yes 
OpenAI Yes 
OpenClaw Yes 
Python Yes 
TypeScript Yes 
Vercel Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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

Simaril

Country

United States

Website

www.silmaril.dev/

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Product Features

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