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ease
features
design
support

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Description

Gain the crucial information edge necessary to counter the upcoming threats with continuous, around-the-clock analysis of alerts that remain undetected by other solutions. Instantly identify whether an unknown suspect's code is a variant of malware, with a similarity score ranging from 70% to 100%. You will immediately access a comprehensive list of the suspect's associated malware families, the classification of the malware, and the related indicators of compromise (IOCs). Take proactive measures by automatically blocking malware matches that are confirmed to be identical. Elevate the level of scrutiny on suspects once you secure a strategic advantage through pre-identified code of interest. Utilize freshly extracted IOCs along with all matched indicators to reinforce your defenses. Additionally, conduct hunts and surveillance using automatically generated, highly precise bytecode-based YARA rules derived from the recently convicted suspect, your repository of matched code, or specifically chosen malware samples. A customizable API empowers you to streamline processes, allowing for the automation of actions that save valuable expert time by deobfuscating and dissecting exploit code down to individual functions, thus enhancing your overall cybersecurity strategy. This comprehensive approach ensures that you remain one step ahead of potential threats, effectively safeguarding your digital assets.

Description

Numerous types of unstructured data exist, including call logs, recorded discussions, and indistinct audio. To effectively pinpoint relevant information and discern the speakers, a robust analytical tool is essential. Wynyard Voice Frequency Analytics (VFA) serves as such a tool, facilitating the identification of individuals behind anonymous voices while translating indistinct speech into comprehensible text. This web-based application is invaluable for law enforcement and governmental agencies aiming to thwart criminal activities. Wynyard VFA operates on a straightforward principle of comparing suspected voices against a comprehensive database to establish their identities. Utilizing cutting-edge technology, the application ensures a high degree of accuracy in its results. Furthermore, it is equipped to extract specific keywords or phrases from conversations, thereby enhancing its utility in various contexts. This capability not only aids in criminal investigations but also supports broader applications in data analysis and voice recognition fields.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Unkown Cyber

Website

unknowncyber.com

Vendor Details

Company Name

Wynyard Group

Country

China

Website

www.wynyardgroup.com/wynyard-voice-frequency-analytics/

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Product Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Alternatives

Alternatives

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Vigilant FaceSearch

Motorola Solutions
Azure AI Speech Reviews

Azure AI Speech

Microsoft