Operational Impact Track Record | Global Cyber Risk Data | Fraud Detection Data | Insurance | M&A | DORA | NIS2 | Supply Chain | Daily Refresh product image in hero

Operational Impact Track Record | Global Cyber Risk Data | Fraud Detection Data | Insurance | M&A | DORA | NIS2 | Supply Chain | Daily Refresh

#
hashid
date
origin
actor
actorContext
victim
victimLink
victimCountry
victimSector
annLink
annTitle
annDescription
annEntities
victimDetails
annDataTypes
annAmount
confidence
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx
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... Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx
Sign In To Preview Data
#
victimLink
victimSector
victimCountry
mentions
actor
origin
confidence
annTitle
annLink
annEntities
annTitleEntities
annPublished
annCrawled
parser
parserDate
annRaw
annDescription
annAuthor
actorType
breachID
victimDetails
victim
annRawContents
hashid
annDataTypes
actorContext
victimDomain
date
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx
2 xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx
3 xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx
4 Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx
5 Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx
6 Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx
7 xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx
8 Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx
9 Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxx
10 Xxxxxxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxx Xxxxx Xxxxx Xxxxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxx xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxxxx Xxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxx
... Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx xxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxx
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Volume
120K
records
Data Quality
95%
match rate
Coverage
240
Countries
History
5
years

Data Dictionary

[Sample] dep_data_example_operational_impact.csv
Attribute Type Example Mapping
hashid
String cc50729ec1900b9b4c65763c060923d7
date
DateTime 2021-08-28T07:00:35+00:00
origin
String extortion
actor
String Marketo
actorContext
String Marketo is a data extortion group that emerged in 2021. U...
victim
String Luxottica Group S.p.A.
victimLink
String www.luxottica.com
victimCountry
String Italy
victimSector
String Retail
annLink
String https//marketo.cloud/lot/65/?bp1
annTitle
String Luxottica data for sale
annDescription
String 16 GB Luxottica Group S.p.A. is an Italian eyewear conglo...
annEntities
String [{"type":"ORG","name":"Luxottica Group S . p . A ."},{"ty...
victimDetails
String {"geo":{"country":"Italy","countryCode":"IT"},"url":"http...
annDataTypes
String ["CUSTOMERS","INTERNAL"]
annAmount
String
confidence
String B-2
[Sample] dep_data_example_operational_impact_ddos.csv
Attribute Type Example Mapping
victimLink
String www.bancaditalia.it
victimSector
String Banks
victimCountry
String Italy
mentions
String []
actor
String Noname05716T
origin
String ddos
confidence
String A-2
annTitle
String www.bancaditalia.it
annLink
String ddosia://64459dfb339baed82159056c/64459dfc339baed82159056d
annEntities
String []
annTitleEntities
String []
annPublished
DateTime 2023-04-24T00:00:00+00:00
annCrawled
parser
String Noname05716T-parser
parserDate
DateTime 2023-12-10T11:04:17+00:00
annRaw
String {"_id":"64467096c624ec0e58f9974f","target_id":"64459dfb33...
annDescription
String ddos type: http. method: GET. port: 443. target ip: 85.15...
annAuthor
String Noname05716T
actorType
String
breachID
String a2cec996f8aa2bdcf709086a1cd7f089
victimDetails
String {"geo":{"country":"Italy","countryCode":"IT"},"url":"http...
victim
String Banca d'Italia
annRawContents
String undefined
hashid
String a2cec996f8aa2bdcf709086a1cd7f089
annDataTypes
String []
actorContext
String Noname05716 "Targets" collects data about Noname05716 tar...
victimDomain
String bancaditalia.it
date
DateTime 2023-04-24T00:00:00+00:00
Product Attributes
Attribute Type Example Mapping
String Digital Intelligence Lab Srl Company Legal Name
String ibm.com Company Domain
String Advertising Company Industry
Integer 518210 Company NAICS Code
String United States of America Country Name
String >1bln or 250-500mln, or <1mln Company Annual Revenue
String less than 10, 250-500 employees, 1000-5000 employees, >10000 Company Employee Count
Announce Title
String
Announce Date
Date
Announce Text
Text
Announce Link
String
Amount
String
Involved Data Types
Text e.g. PII data, Medical data, Intellectual Property record...
Actor
String e.g. a Threat Actor or an Authority
ActorContext
Text Conti is a notorious ransomware group known for its highl...
Evaluation
Text A-2

Description

The "Operational Impact Track Record" bundle provides global cyber risk data of digital extortion, ransomware, data extortion attacks, and DDoS attacks that impact business operations, supporting fraud detection in many fields, including Insurance, Mergers & Acquisitions (M&A), and Supply Chain.
> What is the Operational Impact Track Record? The Operational Impact Track Record is a data API designed to track extortion requests by cyber gangs and other illicit activities like DDoS threats, providing invaluable fraud detection data and cyber risk data indicators. > What are the key benefits? - Early identification of fraud risks during underwriting and presign - Constant vigilance over ransomware extortions and cyber-attacks, including stealthy Denial of Service (DoS) attacks. - Undeniable track record for cyber risk evaluations > Why this is important? the business interruption we track have consequences: claims could arise and sanctions may be imposed, especially in the context of the NIS2 directive and the DORA, and intellectual property theft may also be stolen. > Why work with us? We bring pivotal intelligence that’s invaluable for businesses focused on vigilant risk management. Our Double Extortion platform has been recognized by international Media and Italian press as a key tool able bring cyber intelligence to a new level. > How many data do you provide? This package tracks hundred of thousands cyber events related to company worldwide. We provide 5 year historic and daily refreshed data.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

5 years of historical data

Volume

120,000 records

Pricing

Free sample available
10% discount if you buy via Datarade
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
match rate

Delivery

Methods
REST API
Frequency
daily
on-demand

Use Cases

Supply Chain Intelligence
Mergers & Acquisitions (M&A)
Know Your Customer (KYC)
Risk Intelligence
Company Risk Analysis

Categories

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Frequently asked questions

What is Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh?

The “Operational Impact Track Record” bundle provides global cyber risk data of digital extortion, ransomware, data extortion attacks, and DDoS attacks that impact business operations, supporting fraud detection in many fields, including Insurance, Mergers & Acquisitions (M&A), and Supply Chain.

What is Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh used for?

This product has 5 key use cases. Digital Intelligence Lab recommends using the data for Supply Chain Intelligence, Mergers & Acquisitions (M&A), Know Your Customer (KYC), Risk Intelligence, and Company Risk Analysis. Global businesses and organizations buy Cyber Risk Data from Digital Intelligence Lab to fuel their analytics and enrichment.

Who can use Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh?

This product is best suited if you’re a Enterprise looking for Cyber Risk Data. Get in touch with Digital Intelligence Lab to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh go?

This product has 5 years of historical coverage. It can be delivered on a daily and on-demand basis.

Which countries does Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh cover?

This product includes data covering 240 countries like USA, China, Japan, Germany, and India. Digital Intelligence Lab is headquartered in Italy.

How much does Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh cost?

Pricing information for Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh is available by getting in contact with Digital Intelligence Lab. Connect with Digital Intelligence Lab to get a quote and arrange custom pricing models based on your data requirements.

How can I get Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh?

Businesses can buy Cyber Risk Data from Digital Intelligence Lab and get the data via REST API.

What is the data quality of Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh?

Digital Intelligence Lab has reported that this product has the following quality and accuracy assurances: 95% match rate. You can compare and assess the data quality of Digital Intelligence Lab using Datarade’s data marketplace.

What are similar products to Operational Impact Track Record Global Cyber Risk Data Fraud Detection Data Insurance M&A DORA NIS2 Supply Chain Daily Refresh?

This product has 3 related products. These alternatives include Bad Security Posture Indicators Global Cyber Risk Data 5 Year Historical, Daily Refresh, Datazag: Global Fraud Detection Data B2B List Validation and Data Cleansing Domain Risk Classification & Identification Updated Daily, and TagX - 5000+ Face Anti Spoofing Data Anti Spoofing Detection Face Recognition Fraud Detection KYC authentication Global coverage. You can compare the best Cyber Risk Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Available
Usage-based Not available