THDS
Company Details
Linkedin ID:
techtrials
Website:
Employees number:
16
Number of followers:
3,648
NAICS:
923
Industry Type:
Homepage:
ttrials.com
IP Addresses:
0
Company ID:
TEC_2893864
Scan Status:
In-progress
Techtrials - Healthcare Data Science Company CyberSecurity Posture
ttrials.com
Techtrials is a leading company specializing in Health Data, leveraging GenIA to deliver precise and relevant insights to various stakeholders in the healthcare sector. Our expertise spans the pharmaceutical, medical devices, and broader healthcare industries, providing comprehensive data analysis and advanced technological solutions to support business decisions and optimize information management. Our approach combines deep industry knowledge with cutting-edge data analytics, enabling us to offer tailored solutions that address the unique challenges of our clients. We focus on delivering actionable insights that drive innovation and enhance the quality of healthcare services. At Techtrials, we understand the complexities of the healthcare market and the critical role of data in making informed decisions. Our services include data acquisition, integration, and analysis, utilizing state-of-the-art AI technologies to uncover patterns and trends that inform strategic planning and operational efficiency. Our team of experts collaborates closely with clients to understand their specific needs and deliver customized solutions that align with their goals. Whether it's through predictive analytics, real-world evidence generation, or advanced data visualization, Techtrials empowers healthcare organizations to make data-driven decisions with confidence. In summary, Techtrials stands at the forefront of health data innovation, utilizing GenIA and advanced analytics to transform data into actionable insights. Our comprehensive services support a wide range of healthcare stakeholders, driving improvements in business performance and patient care. By partnering with Techtrials, healthcare organizations gain a competitive edge, leveraging our expertise to navigate the complexities of the healthcare landscape and achieve their strategic objectives.
Techtrials - Healthcare Data Science A.I CyberSecurity Scoring
THDS Risk Score (AI oriented)Between 750 and 799
THDS
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THDS
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THDS Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
THDS Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for THDS
Incidents vs Public Health Industry Average (This Year)
No incidents recorded for Techtrials - Healthcare Data Science in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Techtrials - Healthcare Data Science in 2025.
Incident Types THDS vs Public Health Industry Avg (This Year)
No incidents recorded for Techtrials - Healthcare Data Science in 2025.
Incident History — THDS (X = Date, Y = Severity)
THDS cyber incidents detection timeline including parent company and subsidiaries
THDS Company Subsidiaries
Techtrials is a leading company specializing in Health Data, leveraging GenIA to deliver precise and relevant insights to various stakeholders in the healthcare sector. Our expertise spans the pharmaceutical, medical devices, and broader healthcare industries, providing comprehensive data analysis and advanced technological solutions to support business decisions and optimize information management. Our approach combines deep industry knowledge with cutting-edge data analytics, enabling us to offer tailored solutions that address the unique challenges of our clients. We focus on delivering actionable insights that drive innovation and enhance the quality of healthcare services. At Techtrials, we understand the complexities of the healthcare market and the critical role of data in making informed decisions. Our services include data acquisition, integration, and analysis, utilizing state-of-the-art AI technologies to uncover patterns and trends that inform strategic planning and operational efficiency. Our team of experts collaborates closely with clients to understand their specific needs and deliver customized solutions that align with their goals. Whether it's through predictive analytics, real-world evidence generation, or advanced data visualization, Techtrials empowers healthcare organizations to make data-driven decisions with confidence. In summary, Techtrials stands at the forefront of health data innovation, utilizing GenIA and advanced analytics to transform data into actionable insights. Our comprehensive services support a wide range of healthcare stakeholders, driving improvements in business performance and patient care. By partnering with Techtrials, healthcare organizations gain a competitive edge, leveraging our expertise to navigate the complexities of the healthcare landscape and achieve their strategic objectives.
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THDS CyberSecurity News
November 28, 2025 06:01 AM
Small businesses urged to bolster cybersecurity against attacks
Ministers call on firms to stay resilient amid evolving threats and point companies towards a free toolkit to prevent email hacking,...
November 28, 2025 02:36 AM
Ensign InfoSecurity crowned best MNC Vendor at The Cybersecurity Awards 2025
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Rhode Island Emergency Management Agency's alert system down after cybersecurity incident
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November 27, 2025 11:14 PM
ServiceNow could reportedly acquire cybersecurity startup Veza for $1B+
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November 27, 2025 09:05 PM
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Virtual Infosec Africa and Exabeam launch AI-driven monthly-subscription cybersecurity solution for businesses
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
THDS CyberSecurity History Information
Official Website of Techtrials - Healthcare Data Science
The official website of Techtrials - Healthcare Data Science is http://www.ttrials.com.
Techtrials - Healthcare Data Science’s AI-Generated Cybersecurity Score
According to Rankiteo, Techtrials - Healthcare Data Science’s AI-generated cybersecurity score is 760, reflecting their Fair security posture.
How many security badges does Techtrials - Healthcare Data Science’ have ?
According to Rankiteo, Techtrials - Healthcare Data Science currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Techtrials - Healthcare Data Science have SOC 2 Type 1 certification ?
According to Rankiteo, Techtrials - Healthcare Data Science is not certified under SOC 2 Type 1.
Does Techtrials - Healthcare Data Science have SOC 2 Type 2 certification ?
According to Rankiteo, Techtrials - Healthcare Data Science does not hold a SOC 2 Type 2 certification.
Does Techtrials - Healthcare Data Science comply with GDPR ?
According to Rankiteo, Techtrials - Healthcare Data Science is not listed as GDPR compliant.
Does Techtrials - Healthcare Data Science have PCI DSS certification ?
According to Rankiteo, Techtrials - Healthcare Data Science does not currently maintain PCI DSS compliance.
Does Techtrials - Healthcare Data Science comply with HIPAA ?
According to Rankiteo, Techtrials - Healthcare Data Science is not compliant with HIPAA regulations.
Does Techtrials - Healthcare Data Science have ISO 27001 certification ?
According to Rankiteo,Techtrials - Healthcare Data Science is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Techtrials - Healthcare Data Science
Techtrials - Healthcare Data Science operates primarily in the Public Health industry.
Number of Employees at Techtrials - Healthcare Data Science
Techtrials - Healthcare Data Science employs approximately 16 people worldwide.
Subsidiaries Owned by Techtrials - Healthcare Data Science
Techtrials - Healthcare Data Science presently has no subsidiaries across any sectors.
Techtrials - Healthcare Data Science’s LinkedIn Followers
Techtrials - Healthcare Data Science’s official LinkedIn profile has approximately 3,648 followers.
Techtrials - Healthcare Data Science’s Presence on Crunchbase
Yes, Techtrials - Healthcare Data Science has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/techtrials-healthcare-data-science.
Techtrials - Healthcare Data Science’s Presence on LinkedIn
Yes, Techtrials - Healthcare Data Science maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/techtrials.
Cybersecurity Incidents Involving Techtrials - Healthcare Data Science
As of November 28, 2025, Rankiteo reports that Techtrials - Healthcare Data Science has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Techtrials - Healthcare Data Science has an estimated 280 peer or competitor companies worldwide.
Techtrials - Healthcare Data Science CyberSecurity History Information
How many cyber incidents has Techtrials - Healthcare Data Science faced ?
Total Incidents: According to Rankiteo, Techtrials - Healthcare Data Science has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Techtrials - Healthcare Data Science ?
Incident Types: The types of cybersecurity incidents that have occurred include .
Incident Details
What are the most common types of attacks the company has faced ?
Additional Questions
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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Incident
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Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
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Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
