Comparison Overview

deepsense.ai

VS

Mastercard

deepsense.ai

Aleje Jerozolimskie 44, Warsaw, 00-024, PL
Last Update: 2025-12-01
Between 750 and 799

We are applied AI experts delivering tailored AI solutions through guidance and implementation. Having completed 200+ commercial projects for global brands and innovative scale-ups like Johnson & Johnson, Sky, Danone, Hexagon, Google and Volkswagen, we specialize in applying LLMs, MLOps, computer vision, edge solutions, and predictive analytics to enhance products and operations. We stay at the forefront of AI innovation by partnering with AI leaders such as OpenAI, NVIDIA, Anyscale, and LangChain and leveraging in-house tools to accelerate and streamline AI solution development for our clients.

NAICS: 5415
NAICS Definition: Computer Systems Design and Related Services
Employees: 117
Subsidiaries: 1
12-month incidents
0
Known data breaches
0
Attack type number
0

Mastercard

2000 Purchase St, Purchase, NY, US, 10577
Last Update: 2025-12-01
Between 800 and 849

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

NAICS: 5415
NAICS Definition: Computer Systems Design and Related Services
Employees: 42,954
Subsidiaries: 12
12-month incidents
0
Known data breaches
0
Attack type number
2

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/deepsense-ai.jpeg
deepsense.ai
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
https://images.rankiteo.com/companyimages/mastercard.jpeg
Mastercard
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
Compliance Summary
deepsense.ai
100%
Compliance Rate
0/4 Standards Verified
Mastercard
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs IT Services and IT Consulting Industry Average (This Year)

No incidents recorded for deepsense.ai in 2025.

Incidents vs IT Services and IT Consulting Industry Average (This Year)

No incidents recorded for Mastercard in 2025.

Incident History — deepsense.ai (X = Date, Y = Severity)

deepsense.ai cyber incidents detection timeline including parent company and subsidiaries

Incident History — Mastercard (X = Date, Y = Severity)

Mastercard cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/deepsense-ai.jpeg
deepsense.ai
Incidents

No Incident

https://images.rankiteo.com/companyimages/mastercard.jpeg
Mastercard
Incidents

Date Detected: 6/2021
Type:Ransomware
Attack Vector: malware, ransomware, social engineering
Motivation: Information Extraction
Blog: Blog

Date Detected: 08/2019
Type:Data Leak
Blog: Blog

FAQ

Mastercard company demonstrates a stronger AI Cybersecurity Score compared to deepsense.ai company, reflecting its advanced cybersecurity posture governance and monitoring frameworks.

Mastercard company has historically faced a number of disclosed cyber incidents, whereas deepsense.ai company has not reported any.

In the current year, Mastercard company and deepsense.ai company have not reported any cyber incidents.

Mastercard company has confirmed experiencing a ransomware attack, while deepsense.ai company has not reported such incidents publicly.

Neither Mastercard company nor deepsense.ai company has reported experiencing a data breach publicly.

Neither Mastercard company nor deepsense.ai company has reported experiencing targeted cyberattacks publicly.

Neither deepsense.ai company nor Mastercard company has reported experiencing or disclosing vulnerabilities publicly.

Neither deepsense.ai nor Mastercard holds any compliance certifications.

Neither company holds any compliance certifications.

Mastercard company has more subsidiaries worldwide compared to deepsense.ai company.

Mastercard company employs more people globally than deepsense.ai company, reflecting its scale as a IT Services and IT Consulting.

Neither deepsense.ai nor Mastercard holds SOC 2 Type 1 certification.

Neither deepsense.ai nor Mastercard holds SOC 2 Type 2 certification.

Neither deepsense.ai nor Mastercard holds ISO 27001 certification.

Neither deepsense.ai nor Mastercard holds PCI DSS certification.

Neither deepsense.ai nor Mastercard holds HIPAA certification.

Neither deepsense.ai nor Mastercard holds GDPR certification.

Latest Global CVEs (Not Company-Specific)

Description

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.11.1, vllm has a critical remote code execution vector in a config class named Nemotron_Nano_VL_Config. When vllm loads a model config that contains an auto_map entry, the config class resolves that mapping with get_class_from_dynamic_module(...) and immediately instantiates the returned class. This fetches and executes Python from the remote repository referenced in the auto_map string. Crucially, this happens even when the caller explicitly sets trust_remote_code=False in vllm.transformers_utils.config.get_config. In practice, an attacker can publish a benign-looking frontend repo whose config.json points via auto_map to a separate malicious backend repo; loading the frontend will silently run the backend’s code on the victim host. This vulnerability is fixed in 0.11.1.

Risk Information
cvss3
Base: 7.1
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
Description

fastify-reply-from is a Fastify plugin to forward the current HTTP request to another server. Prior to 12.5.0, by crafting a malicious URL, an attacker could access routes that are not allowed, even though the reply.from is defined for specific routes in @fastify/reply-from. This vulnerability is fixed in 12.5.0.

Risk Information
cvss4
Base: 6.9
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/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

Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to 21.0.2, 20.3.15, and 19.2.17, A Stored Cross-Site Scripting (XSS) vulnerability has been identified in the Angular Template Compiler. It occurs because the compiler's internal security schema is incomplete, allowing attackers to bypass Angular's built-in security sanitization. Specifically, the schema fails to classify certain URL-holding attributes (e.g., those that could contain javascript: URLs) as requiring strict URL security, enabling the injection of malicious scripts. This vulnerability is fixed in 21.0.2, 20.3.15, and 19.2.17.

Risk Information
cvss4
Base: 8.5
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:H/VI:H/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

Gin-vue-admin is a backstage management system based on vue and gin. In 2.8.6 and earlier, attackers can delete any file on the server at will, causing damage or unavailability of server resources. Attackers can control the 'FileMd5' parameter to delete any file and folder.

Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/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

Portkey.ai Gateway is a blazing fast AI Gateway with integrated guardrails. Prior to 1.14.0, the gateway determined the destination baseURL by prioritizing the value in the x-portkey-custom-host request header. The proxy route then appends the client-specified path to perform an external fetch. This can be maliciously used by users for SSRF attacks. This vulnerability is fixed in 1.14.0.

Risk Information
cvss4
Base: 6.9
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/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