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What is Trapster?

Trapster is an advanced deceptive security platform that empowers organizations to detect and respond to cyber threats by deploying highly convincing decoy environments within their networks. The platform’s primary component is a network-based honeypot server that launches virtual machines on your hypervisor or cloud infrastructure, supporting over 15 protocols such as HTTP, SMB, SSH, and more, to detect malicious scans and lateral movements early. Real-time alerts are sent through multiple channels including email, dashboards, webhooks, syslog, and API, ensuring timely threat awareness without requiring ongoing maintenance. Trapster also employs honeytokens—deceptive files, URLs, API keys, and database entries—that act as digital tripwires, catching attackers who attempt to access or misuse sensitive resources. The external login panel mimics genuine authentication pages, exposing stolen credentials before they can be leveraged in attacks. This proactive deception strategy allows Trapster to identify sophisticated threats that often evade traditional security systems like firewalls and intrusion detection. Its effortless auto-configuration and minimal upkeep make it an accessible solution for organizations of all sizes. By luring attackers into revealing themselves, Trapster provides security teams with critical early warnings and actionable intelligence. The platform enables faster incident response and reduces the risk of prolonged undetected breaches. Ultimately, Trapster helps organizations maintain a stronger, more resilient cybersecurity posture through innovative deception technology.

What is Foretrace?

Stay ahead of your competition by identifying data vulnerabilities before they can be exploited. Foretrace’s cutting-edge Total Recon™ engine, which is currently in the patent application process, detects data exposures and alerts you before they escalate into costly security breaches. There are numerous ways for credentials to be compromised, such as through data leaks or accessible public sources like code repositories. Once hackers gain entry through exposed usernames and passwords, they can specifically target vulnerable accounts. Furthermore, unauthorized access to sensitive internal documents and collaborative platforms can lead to the unintended sharing of confidential information. This type of information can be used by malicious actors for blackmail or to damage an organization’s reputation. In addition, metadata, which is typically included in most documents and files, is rarely removed prior to sharing, making it a valuable asset for attackers engaged in targeted phishing and malware campaigns. The situation is further complicated by the fact that stolen corporate data and credentials are often traded on underground and dark web marketplaces, granting criminals easy access and posing serious threats to an organization’s reputation and standing in the industry. To uphold security and maintain trust with clients and partners, it is crucial to address these vulnerabilities in a proactive manner. By doing so, organizations can not only protect their assets but also build a resilient defense against future threats.

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Integrations Supported

Elasticsearch
Graylog
Microsoft Sentinel
Splunk Enterprise

Integrations Supported

API Availability

API Availability

Pricing Information

$1000/year
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Ballpoint

Date Founded

2023

Company Location

France

Company Website

trapster.cloud/

Company Facts

Organization Name

Foretrace

Company Location

United States

Company Website

foretrace.com

Categories and Features

Deception Technology

Not specified

Categories and Features

Data Security

Not specified

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