Snapshot 246016
Parsed
What we read from this document, as JSON. Each entry names the snapshot it was read from.
{
"entries": [
{
"kind": "subprocessor",
"vendor": "amazon-web-services",
"evidence_id": 14459,
"data": {
"name": "Amazon SES (Optional Sub-processor)",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Cloud-based Email Services"
],
"locations": [
"United States"
],
"data_categories": [
"User provided prompts, user email from login"
]
}
},
{
"kind": "subprocessor",
"vendor": "amazon-web-services",
"evidence_id": 14459,
"data": {
"name": "Amazon Web Services Inc.",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Analytics",
"Cloud hosting and infrastructure provider",
"Configured Commerce",
"Connect Platform",
"Content Marketing Platform",
"Content Recommendations",
"Data Platform",
"Web & Feature Experimentation"
],
"locations": [
"North America",
"North America, Europe (Selection by Customer)",
"North America, Europe, Asia Pacific (Selection by Customer)",
"United States"
],
"data_categories": [
"Email data, entity data, website usage data, system usage data, application integration data.",
"IP address, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested. IP address is anonymized.",
"IP address, random unique identifiers, event data.",
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested.",
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested. IP address is anonymized."
]
}
},
{
"kind": "subprocessor",
"vendor": "anthropic",
"evidence_id": 14459,
"data": {
"name": "Anthropic",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Large language model"
],
"locations": [
"Varies by user location; processed in nearest data center"
],
"data_categories": [
"User provided prompts and keywords respectively"
]
}
},
{
"kind": "subprocessor",
"vendor": "bandwidth",
"evidence_id": 14459,
"data": {
"name": "Bandwidth",
"sections": [
"Third-Party"
],
"services": [
"Data Platform",
"SMS Delivery (US and Canada only)"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested. Telephone numbers of selected recepients (US and Canada only)."
]
}
},
{
"kind": "subprocessor",
"vendor": "smartbear-software",
"evidence_id": 161848,
"data": {
"name": "Bugsnag",
"sections": [
"Third-Party"
],
"services": [
"Connect Platform",
"Data Platform",
"Tracking for bug resolution"
],
"locations": [
"North America",
"Europe"
],
"data_categories": [
"Experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "cloudflare",
"evidence_id": 14459,
"data": {
"name": "CloudFlare Inc.",
"sections": [
"Third-Party"
],
"services": [
"Campaign",
"Commerce Connect",
"Configured Commerce",
"Connect Platform",
"Content Delivery Network",
"Content Graph",
"Content Management System (PaaS)",
"Content Management System (SaaS)",
"Content Recommendations",
"Product Recommendations",
"Search & Navigation (formerly Personalized Find)",
"Web & Feature Experimentation"
],
"locations": [
"North America, Europe, Middle East, Asia Pacific (Mapped to Customer's data centre)"
],
"data_categories": [
"IP address, website usage data, system usage data, application integration data."
]
}
},
{
"kind": "subprocessor",
"vendor": "datadog",
"evidence_id": 161848,
"data": {
"name": "Datadog",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Analytics",
"Campaign",
"Commerce Connect",
"Configured Commerce",
"Connect Platform",
"Content Graph",
"Content Management System (PaaS)",
"Content Management System (SaaS)",
"Content Marketing Platform",
"Content Recommendations",
"Data Platform",
"Observability and Alerting",
"Product Recommendations",
"Search & Navigation (formerly Personalized Find)",
"Web & Feature Experimentation"
],
"locations": [
"United States"
],
"data_categories": [
"Experiment and event data associated with server level events of the site being tested.",
"IP address, random unique identifiers and event data.",
"IP address, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested.",
"IP address, random unique identifiers, event data.",
"IP address, website usage data, system usage data, application integration data.",
"Website usage data, system usage data, application integration data."
]
}
},
{
"kind": "subprocessor",
"vendor": "deutsche-telekom",
"evidence_id": 14459,
"data": {
"name": "Deutsche Telekom",
"sections": [
"Third-Party"
],
"services": [
"Campaign",
"SMS delivery and RCS messaging"
],
"locations": [
"Europe"
],
"data_categories": [
"Telephone Number, User provided personal data."
]
}
},
{
"kind": "subprocessor",
"evidence_id": 14459,
"data": {
"name": "Full Story",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Content Marketing Platform",
"User Session Recording (US region customers only)"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "google-cloud",
"evidence_id": 14459,
"data": {
"name": "Google Analytics (Optional Sub-processor)",
"sections": [
"Third-Party"
],
"services": [
"Commerce Connect",
"Configured Commerce",
"Content Management System (PaaS)",
"Content Marketing Platform",
"Google Analytics use is optional and may be enabled. If disabled the Optimizely customer will need to supply their own solution or certain functionality may be limited"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and event data associated with these identifiers.",
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "google-cloud",
"evidence_id": 161848,
"data": {
"name": "Google Cloud",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Analytics",
"Campaign",
"Cloud Service Provider",
"Cloud Service Provider. Can be replaced with a third party service",
"Configured Commerce",
"Content Marketing Platform",
"Web & Feature Experimentation"
],
"locations": [
"Europe",
"North America, Europe (Selection by Customer)",
"United States",
"United States",
"Europe"
],
"data_categories": [
"Email data, entity data, website usage data, system usage data, application integration data.",
"IP addresses, random unique identifiers and event data associated with these identifiers.",
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested.",
"IP addresses, user email from login and data associated with these identifiers such as elements/objects of the site."
]
}
},
{
"kind": "subprocessor",
"vendor": "google-cloud",
"evidence_id": 14459,
"data": {
"name": "Google Gemini",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Large language model"
],
"locations": [
"Varies by user location; processed in nearest data center"
],
"data_categories": [
"User provided prompts and keywords respectively."
]
}
},
{
"kind": "subprocessor",
"vendor": "link-mobility-group-asa",
"evidence_id": 14459,
"data": {
"name": "Link Mobility",
"sections": [
"Third-Party"
],
"services": [
"Campaign",
"SMS Delivery"
],
"locations": [
"Europe"
],
"data_categories": [
"Telephone Number, User provided personal data."
]
}
},
{
"kind": "subprocessor",
"vendor": "litmus",
"evidence_id": 14459,
"data": {
"name": "Litmus",
"sections": [
"Third-Party"
],
"services": [
"Data Platform",
"Email rendering testing across browsers"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "logrocket",
"evidence_id": 14459,
"data": {
"name": "LogRocket",
"sections": [
"Third-Party"
],
"services": [
"Analytics",
"Front-end monitoring and session replay"
],
"locations": [
"United States"
],
"data_categories": [
"Netspring users email addresses."
]
}
},
{
"kind": "subprocessor",
"evidence_id": 14459,
"data": {
"name": "Looker a Google company (Optional Sub-processor)",
"sections": [
"Third-Party"
],
"services": [
"Configured Commerce",
"Data modelling and visualization platform (a Google company)"
],
"locations": [
"North America, Europe, Middle East, Asia Pacific"
],
"data_categories": [
"Email data, entity data, website usage data, system usage data, application integration data."
]
}
},
{
"kind": "subprocessor",
"vendor": "mailgun",
"evidence_id": 14459,
"data": {
"name": "Mailgun",
"sections": [
"Third-Party"
],
"services": [
"Cloud-based Email Services",
"Configured Commerce"
],
"locations": [
"United States (Can be disabled by Customer)"
],
"data_categories": [
"Website usage data, system usage data, application integration data. *Can be disabled or replaced with a 3rd party ESP service"
]
}
},
{
"kind": "subprocessor",
"evidence_id": 14459,
"data": {
"name": "Microsoft Inc. Azure",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Cloud Service Provider",
"Commerce Connect",
"Community API",
"Configured Commerce",
"Content Graph",
"Content Management System (PaaS)",
"Content Management System (SaaS)",
"Content Recommendations",
"Product Recommendations",
"Search & Navigation (formerly Personalized Find)"
],
"locations": [
"North America, Europe (Selection by Customer)",
"North America, Europe, Asia Pacific (Selection by Customer)",
"North America, Europe, Middle East, Asia Pacific (Selection by Customer)"
],
"data_categories": [
"Email data, entity data, website usage data, system usage data, application integration data.",
"Email data, website usage data, application integration data.",
"IP address, random unique identifiers, event data.",
"Website usage data, system usage data, application integration data and other data submitted.",
"Website usage data, system usage data, application integration data."
]
}
},
{
"kind": "subprocessor",
"evidence_id": 14459,
"data": {
"name": "Mongo DB Atlas",
"sections": [
"Third-Party"
],
"services": [
"Community API",
"Content Marketing Platform",
"Database",
"Search & Navigation (formerly Personalized Find)"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and event data associated with these identifiers.",
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "okta",
"evidence_id": 14459,
"data": {
"name": "Okta",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Analytics",
"Campaign",
"Commerce Connect",
"Configured Commerce",
"Connect Platform",
"Content Graph",
"Content Management System (PaaS)",
"Content Management System (SaaS)",
"Content Marketing Platform",
"Content Recommendations",
"Data Platform",
"Product Recommendations",
"Search & Navigation (formerly Personalized Find)",
"User Authentication and Authorization is via OptiID. Customer can optionally bring in their own SSO.",
"Web & Feature Experimentation"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses and random unique identifiers such as cookie ID or similar identifier.",
"IP addresses and random unique identifiers such as cookie ID or similar identifier. Netspring users email addresses, First and Last Names."
]
}
},
{
"kind": "subprocessor",
"vendor": "scylladb",
"evidence_id": 14459,
"data": {
"name": "ScyllaDB",
"sections": [
"Third-Party"
],
"services": [
"Data Platform",
"Database"
],
"locations": [
"North America, Europe, Asia Pacific (Selection by Customer)"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "segment",
"evidence_id": 14459,
"data": {
"name": "Segment",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Analytics",
"Content Marketing Platform",
"Customer Data Platform"
],
"locations": [
"United States"
],
"data_categories": [
"Application usage data.",
"Netspring users email addresses."
]
}
},
{
"kind": "subprocessor",
"vendor": "semrush",
"evidence_id": 14459,
"data": {
"name": "SEMRush",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"SEO Analytics"
],
"locations": [
"United States"
],
"data_categories": [
"User provided prompts and keywords respectively."
]
}
},
{
"kind": "subprocessor",
"vendor": "sentry",
"evidence_id": 14459,
"data": {
"name": "Sentry",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Content Marketing Platform",
"Observability - App Event Management"
],
"locations": [
"United States"
],
"data_categories": [
"Application events."
]
}
},
{
"kind": "subprocessor",
"vendor": "sinch",
"evidence_id": 14459,
"data": {
"name": "Sinch Germany GmbH",
"sections": [
"Third-Party"
],
"services": [
"Campaign",
"SMS Delivery"
],
"locations": [
"Europe"
],
"data_categories": [
"Telephone Number, User provided personal data."
]
}
},
{
"kind": "subprocessor",
"vendor": "snowflake",
"evidence_id": 161848,
"data": {
"name": "Snowflake",
"sections": [
"Third-Party"
],
"services": [
"Agent Platform",
"Analytics",
"Data Platform",
"Database"
],
"locations": [
"North America",
"Europe",
"Asia Pacific",
"North America, South America, Europe, Middle East, Asia Pacific",
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested.",
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested. Netspring users email addresses."
]
}
},
{
"kind": "subprocessor",
"vendor": "tray-ai",
"evidence_id": 14459,
"data": {
"name": "Tray.io (Optional Sub-processor)",
"sections": [
"Third-Party"
],
"services": [
"AWS App Integrations",
"Content Marketing Platform"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and event data associated with these identifiers."
]
}
},
{
"kind": "subprocessor",
"evidence_id": 161848,
"data": {
"name": "Twilio Send Grid (Optional Sub-processor)",
"sections": [
"Third-Party"
],
"services": [
"Cloud-based Email Services",
"Commerce Connect",
"Content Management System (PaaS)",
"Content Management System (SaaS)",
"Data Platform"
],
"locations": [
"United States",
"United States(Can be disabled by Customer)"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested.",
"Website usage data, system usage data, application integration data. *Can be disabled or replaced with a 3rd party ESP service"
]
}
},
{
"kind": "subprocessor",
"evidence_id": 14459,
"data": {
"name": "Upper Quadrant",
"sections": [
"Third-Party"
],
"services": [
"Data Platform",
"Ecommerce Integrations"
],
"locations": [
"United States"
],
"data_categories": [
"IP addresses, random unique identifiers and, experiment and event data associated with these identifiers such as elements of the site being tested."
]
}
},
{
"kind": "subprocessor",
"vendor": "vonage",
"evidence_id": 246016,
"data": {
"name": "Vonage B.V.",
"sections": [
"Third-Party"
],
"services": [
"Campaign",
"WhatsApp"
],
"locations": [
"Europe"
],
"data_categories": [
"Telephone Number, User provided personal data."
]
}
}
]
}