Observable infrastructure
Datazag focuses on public internet signals such as domains, DNS, certificates, hosting, ASN context, routing and provider footprints.
Trust & Governance
Datazag products are built around observable internet infrastructure, explainable evidence, controlled product scope and clear licensing boundaries.
This page explains the trust model behind reports, alerts, APIs, data shares, marketplace datasets and partner-delivered services.
Buyer assurance
Trust comes from knowing what is included, what is excluded, how output can be used and where human review or contractual approval is needed.
Trust dimensions
Trust principles
We understand buyers need more than a data feed. They need to understand what evidence supports the output, how it can be used and where the boundaries sit. Most importantly, we understand you want to stay in control of what you share with us.
Datazag focuses on public internet signals such as domains, DNS, certificates, hosting, ASN context, routing and provider footprints.
Reports, alerts and enrichment outputs include evidence, reason codes and context so teams can inspect why a finding exists.
A free report, alert, API response and data share do not expose the same fields. Each product has its own scope, use case and delivery controls.
Datazag separates internal intelligence operations from sellable data products, partner services and marketplace-ready outputs.
What customers can inspect
The exact fields vary by product, but Datazag output is designed to expose enough context for a buyer to understand and challenge the result.
Domain, DNS, certificate, mail, hosting, ASN, prefix, registrar and provider context that supports a report or alert finding.
Readable explanations of why a domain, IP, infrastructure relationship, platform pattern or posture issue was considered relevant.
Signals that help teams decide whether to automate, block, investigate, de-escalate, monitor or route to human review.
Cloud, CDN, mailbox, hosting, platform and customer-approved context used to reduce accidental over-classification.
Where included, point-in-time records and change history help buyers understand what changed and when it changed.
Product controls
A report, alert, API response and cloud data share can draw on the same intelligence foundation, but each has its own field scope and intended use.
Designed for business-readable findings, DNS defense analysis, threat exposure, remediation priorities and portfolio summaries.
Designed for operational delivery with alert class, reason codes, infrastructure context, recommended action and de-escalation paths.
Designed for real-time scoring and enrichment inside customer products, analyst workflows and partner platforms.
Designed for analytical joins, historical review, data science, threat hunting and marketplace-style consumption.
Designed so MSSPs, ESPs and service providers can package intelligence into their own services without reselling raw data by default.
Licensing and permitted use
Licensing should be simple to understand: use the intelligence in the contracted workflow, but do not redistribute raw data or extend rights to downstream partners without agreement.
Privacy and customer context
Most Datazag products focus on externally observable infrastructure. Customer-supplied context is used to make the output more relevant and reduce noise.
Most intelligence products are built from externally observable infrastructure, not from customer inboxes, endpoint telemetry or private network traffic.
For free reports, the submitted work email is used to derive the domain, process the request and deliver the report.
Marketing follow-up should be separate from the processing needed to generate a requested report.
Customer-supplied brands, domains, watchlists or approved baselines are used to make outputs more relevant to that customer.
False positives
Security teams need confidence that platform names, brand terms and provider patterns are not being treated as malicious without context.
Provider attribution, customer-approved infrastructure and common platform footprints help avoid obvious misclassification.
A platform or brand term alone should not determine severity. DNS, certificate, hosting, history and relationship signals change routing.
Operational products can include review and de-escalation workflows so accepted or known-good findings do not remain noisy.
Reason codes and evidence fields give analysts and customers a way to challenge, validate or tune the output.
We have not published our false-positive numbers yet. We are measuring them, and we will publish them with the method. Until then, every alert shows its evidence, so you can judge it yourself — and tell us when we are wrong.
Marketplace and data-share boundaries
Cloud marketplace and data-share buyers need to know what is included, what is excluded and what redistribution rights do not come with the product by default.
Marketplace and data-share products should expose derived Datazag intelligence, public infrastructure facts and product-approved context.
Internal-only feeds, restricted popularity data and raw third-party threat-feed rows are not published as standalone resale fields by default.
Published datasets need explicit field scope, refresh cadence, historical coverage and licensing boundaries.
Customers should be able to understand what the dataset contains, how it can be used and what redistribution is not permitted.
Company and security posture
Procurement needs to know who they are contracting with and how the company operates, not only how the data is produced.
The dataset is delivered into your own cloud account and queried there. Your tables, your queries and your results stay in your environment. Nothing you join against our data is sent to us, and we cannot see it.
On this path Datazag is not a processor of your data: there is no processing agreement to negotiate for it, no international-transfer assessment, no sub-processor list to review, and no breach of ours that could expose it.
You send us domains to be assessed, so Datazag receives and processes what you send.
This path is a processing relationship and is governed by the data-processing agreement. The architectural argument above applies to the share path and does not extend to this one.
Read this against the delivery model above: on the share path your data never reaches us, so the questions an assurance report usually answers about a processor do not arise for it.
Datazag does not hold SOC 2, ISO 27001 or an equivalent third-party assurance report today, and no assurance program is currently in progress. We would rather say so than imply otherwise.
What you can inspect instead:
Send the questionnaire, security schedule or data-processing agreement and it reaches a person rather than a queue. Tell us the delivery mode you are assessing — share or API — because the answers differ, and the section above says how.
Next step
Start with a report or alert workflow, then agree the product scope, delivery route and permitted use that fits your team, partner model or data-share requirement.