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features
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support

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Description

Identify data vulnerabilities before your competitors do. Foretrace’s innovative Total Recon™ engine, which is currently patent-pending, identifies data exposure and notifies you prior to it leading to expensive security breaches. Credentials can be compromised through various means, including data leaks or public sources like code repositories. When hackers gain access to exposed usernames and passwords, they are able to pinpoint and target specific accounts. Additionally, unauthorized access to internal documents and collaborative platforms can result in the dissemination of confidential information. Such information can be exploited by adversaries for blackmail or to tarnish an organization's reputation. Moreover, metadata is frequently found in nearly all documents and files created, yet it is seldom deleted before sharing, making it a valuable resource for attackers conducting targeted phishing and malware schemes. Further complicating matters, corporate data and credentials that are discovered or stolen are often traded on criminal and dark web marketplaces, providing attackers with straightforward access and posing significant risks to an organization's integrity and standing in the market. Addressing these vulnerabilities proactively is essential for maintaining security and trust.

Description

Lupovis delivers accurate and high-fidelity threat detection by significantly lowering the alert-to-noise ratio through its SaaS-based deception platform. This service provides tailored and contextual intelligence specifically designed for your organization. By leveraging insights that highlight potential insider threats and pre-breach incidents such as compromised credentials, you can maintain a proactive stance on security. Engage with actionable intelligence without the burden of irrelevant alerts. Our platform enables the deployment of realistic traps and decoys throughout your network, which are crafted to work effortlessly with your current security systems. When an intruder interacts with our intuitive no-code deception solution, it triggers a precise alert, empowering you to take immediate action. Implementing our advanced threat detection capabilities allows you to receive high-fidelity alerts along with comprehensive contextual and global intelligence. As a result, Lupovis plays a critical role in safeguarding your organization’s sensitive information and valuable intellectual property from theft by misleading attackers within the network and steering them away from key assets. Additionally, this innovative approach not only fortifies your defenses but also enhances your overall security posture in an increasingly complex threat landscape.

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

$4,000 per year
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

Foretrace

Country

United States

Website

foretrace.com

Vendor Details

Company Name

Lupovis

Country

United Kingdom

Website

www.lupovis.io

Product Features

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Product Features

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