What is Cyber Risk Data? Examples, Datasets and Providers

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Eugenio Caterino
Editor & Data Industry Expert

What is Cyber Risk Data?

Cyber risk data refers to information that identifies and assesses potential threats and vulnerabilities in digital systems and networks. It includes data on security breaches, malware attacks, hacking attempts, and other cyber threats. This data is collected, analyzed, and used to understand and mitigate risks, develop effective cybersecurity strategies, and protect organizations from cyber threats.
Examples of Cyber Risk Data include cyber attacks datasets, cyber incident databases, and cybersecurity datasets. Cyber Risk Data is used for analyzing and understanding the patterns, trends, and vulnerabilities related to cyber threats and attacks. It helps organizations and researchers in developing effective cybersecurity strategies, identifying potential risks, and improving incident response capabilities. In this page, you’ll find the best data sources for cyber risk data, cyber attacks datasets, cyber incident databases, and cybersecurity datasets.

Best Cyber Risk Databases & Datasets

Here is our curated selection of top Cyber Risk Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

Logo of Datazag

Global Cyber Risk Data | Email Address Validation

by Datazag
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$0.20 / 1000
Logo of Digital Intelligence Lab

Global Cyber Risk Data | Company Cybersecurity Risk Indicators, 100K+ Events

by Digital Intelligence Lab
USA
United Kingdom
Germany
+237
Free sample preview
API available
Pricing available upon request
Logo of Risk Based Security

Global Cyber Risk Analytics - Risk Based Security

by Risk Based Security
USA
United Kingdom
Germany
+237
Pricing available upon request
Logo of Opoint

Trade Credit Risk Data | Web Data | Global Risk Data | 235K+ Sources / 3M+ Articles Daily | Risk Management

by Opoint
USA
United Kingdom
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of Digital Intelligence Lab

Global Brand Reputation Data | Reputational & Regulatory Track Record: GDPR, HITECH, SEC | Daily Refresh

by Digital Intelligence Lab
USA
United Kingdom
Germany
+128
API available
Pricing available upon request
Logo of Datazag

Global Fraud Detection Data | B2B List Validation and Data Cleansing | Domain Risk Classification & Identification | Updated Daily

by Datazag
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$0.20 / 1000
Logo of TagX

TagX - 5000+ Face Anti Spoofing Data | Anti Spoofing Detection | Face Recognition | Fraud Detection | KYC authentication | Global coverage

by TagX
4.9
USA
United Kingdom
Germany
+246
Free sample preview
Starts at
$7,000$6,300 / purchase
Logo of Otto JS

Site Security Assessment: JavaScript Risk, Vulnerability and Third-Party Partner Audit

by Otto JS
5.0
USA
United Kingdom
Germany
+246
API available
Starts at
$0.99$0.89 / scan
Logo of HitHorizons

HitHorizons | Company Data API | 80M+ Companies | 50 European Countries | 100+ Data Points | Monthly Updated | GDPR-Compliant

by HitHorizons
5.0
United Kingdom
Germany
France
+55
Free sample preview
API available
Pricing available upon request
Logo of Opoint

Fraud Detection Data | Global Risk Data | 235K+ Sources / 3M+ Articles Daily | Point-in-time

by Opoint
USA
United Kingdom
Germany
+246
Free sample preview
API available
Pricing available upon request

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Cyber Risk Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Cyber Risk Data.

Frequently Asked Questions

Where Can I Buy Cyber Risk Data?

You can explore our data marketplace to find a variety of Cyber Risk Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Cyber Risk Data Maintained?

The quality of Cyber Risk Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Cyber Risk Data Updated?

The update frequency for Cyber Risk Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Cyber Risk Data Secure?

The security of Cyber Risk Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Cyber Risk Data Delivered?

Cyber Risk Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Cyber Risk Data.

How Much Does Cyber Risk Data Cost?

The cost of Cyber Risk Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Cyber Risk Data for your needs.

What Are Similar Data Types to Cyber Risk Data?

Cyber Risk Data is similar to other data types, such as Political Risk Data, ESG Risk Data, Crime Risk Data, Climate Risk Data, and Environmental Risk Data. These related categories are often used together for applications like Fraud Prevention and Risk Assessment.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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