Audience

Companies that want a solution to understand their adversaries through continuous automated reconnaissance

About Foretrace

Find exposed data before your adversaries do. Foretrace’s patent-pending Total Recon™ engine detects data exposure and alerts you before it results in costly breaches. Credentials can be exposed in data breaches, from leaks or publicly shared sources such as code repositories. Exposed account names and passwords are used by hackers to identify and target accounts. Exposed internal documents and collaboration suites can leak sensitive data. Adversaries can use this data to blackmail organizations or damage their reputations. Metadata is exposed in almost any document or file that is created and is rarely removed before sharing files. This metadata is used by attackers for targeted phishing and malware attacks. Discovered or stolen corporate data and credentials are sold and exchanged on criminal and dark web forums, resulting in easy access for attackers and potential damage to an organization’s reputation.

Pricing

Free Trial:
Free Trial available.

Integrations

No integrations listed.

Ratings/Reviews

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Company Information

Foretrace
United States
foretrace.com

Videos and Screen Captures

Foretrace Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Videos
Support
24/7 Live Support
Online

Foretrace Frequently Asked Questions

Q: What kinds of users and organization types does Foretrace work with?
Q: What languages does Foretrace support in their product?
Q: What kind of support options does Foretrace offer?
Q: What type of training does Foretrace provide?
Q: Does Foretrace offer a free trial?

Foretrace Product Features

Data Security

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