Use cases Ecommerce Continuous tech risk data from global sources
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Continuous tech risk data from global sources

Stay ahead of emerging tech risks and compliance issues — automated insights from global news and intelligence platforms

TechCrunch
The Verge
ZDNet
+ more sources

8+

Sources monitored

8+

Data fields extracted

Daily

Update cadence

Data sources

What technology risk sources do we read?

We monitor critical insights from leading technology news sites and cybersecurity platforms, including TechCrunch, The Verge, ZDNet, CSO Online, and Dark Reading. Our focus is on emerging global technology risks, regulatory compliance breaches, and third-party vendor vulnerabilities, ensuring you stay informed about the latest threats and compliance issues. The data tracked includes headlines, summaries, product details, severity levels, and affected versions, providing a comprehensive view of the current landscape.

TechCrunch The Verge ZDNet CSO Online Dark Reading

Live embed

Structured dataset

What it finds

What technology risk data does it find?

Our structured dataset includes essential columns such as id, Source, Headline, Summary, Product, Severity, Affected_Version, Patch_Available, CVE, Last_Updated, and Estimated_Impact. This normalized dataset allows for easy analysis and tracking of technology risks and compliance breaches, ensuring that you have access to timely and relevant information. By leveraging this data, organizations can make informed decisions to mitigate risks effectively.

Source
Headline
Summary
Product
Severity
Affected_Version
Patch_Available
CVE

Analysis

Understanding the technology risk dataset

The dashboard features a variety of insightful widgets designed to present the data in an accessible format. Key metrics such as Total Emerging Technology Risks Identified, Total Regulatory Compliance Breaches, and Total Third-Party Vendor Vulnerabilities provide a quick overview of the current situation. Additionally, visualizations like the Emerging Technology Risks by Category bar chart and the Trends in Technology Risk Reports Over Time line chart help identify patterns and areas of concern.

When do we get technology risk alerts?

With our monitoring solution, you will receive timely alerts on critical issues related to technology risks and compliance breaches. Currently, there is one enabled alert rule that notifies you when significant events occur, ensuring you are always updated. This proactive approach allows you to address potential vulnerabilities before they escalate.

View alert setup →

Where does technology risk data go?

Our monitoring system seamlessly integrates with various platforms, including API, Email, Slack, and Snowflake. This flexibility allows you to receive and manage alerts and data in a way that fits your workflow. With multiple integration options, you can ensure that your team is always connected to the latest insights and developments.

API Email Slack Snowflake

FAQ

Frequently asked questions

Is Jsonify just a web scraping tool?
No. Jsonify delivers structured market intelligence, not raw HTML. The platform extracts, normalizes, and analyzes public data to produce clean, typed datasets ready for analysis.
How often is the data updated?
Update cadence depends on the monitoring workflow. Most use cases refresh daily or weekly. Alerts can be triggered in near-real-time when significant changes are detected.
What sources are covered for this use case?
We monitor critical insights from leading technology news sites and cybersecurity platforms, including TechCrunch, The Verge, ZDNet, CSO Online, and Dark Reading. Our focus is on emerging global techn...
Where does the extracted data go?
Our monitoring system seamlessly integrates with various platforms, including API, Email, Slack, and Snowflake. This flexibility allows you to receive and manage alerts and data in a way that fits you...
Can I customize which data fields are extracted?
Yes. Every Jsonify deployment is configured to your specific requirements. You define which signals, fields, and geographies matter, and the pipeline is built around those parameters.

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