About Datazag
Building predictive domain intelligence for trust on the internet
Datazag helps security teams detect phishing, brand impersonation, and infrastructure abuse earlier — by turning raw internet data into decision-ready intelligence.
Our mission
We believe most internet threats can be identified before they cause harm — if you have the right data, context, and intelligence layer.
Predict threats earlier
- Our mission is to help security, fraud, and trust teams move from reactive detection to predictive intelligence — identifying risky infrastructure at creation time, not after users are impacted.
The problem we’re solving
Security teams are overwhelmed with alerts but starved of early-stage context.
Too reactive
- Most phishing and impersonation is detected only after emails are delivered, abuse is reported, or users are harmed.
Too much noise
- Existing feeds often provide raw indicators without context, forcing analysts to manually triage infrastructure they don’t trust.
Too little context
- DNS, certificates, hosting, mailbox providers, and domain history are rarely joined together in a way that supports automation.
How Datazag approaches the problem
We build the intelligence layer that sits under security tools — not another alerting system.
Internet-scale visibility
- We maintain continuously refreshed intelligence across 315M+ domains, enriched with DNS, hosting, mailbox, firmographic and technographic signals.
Real-time signal ingestion
- By monitoring certificate issuance and other early signals, we identify likely impersonation infrastructure within minutes of creation.
Context over indicators
- We focus on mismatches, patterns, and infrastructure context — not just blocklists or reputation scores.
Built for automation
- Every output is designed to plug directly into SIEM, SOAR, fraud engines, and takedown workflows.
Noise reduction by design
- Brand-specific logic and enrichment are used to reduce false positives and prioritise what actually matters.
Why this matters now
The economics of internet abuse have changed — and security tooling hasn’t caught up.
Cheap infrastructure
- Automated hosting, free certificates, and disposable email make impersonation trivial at scale.
Faster attackers
- Threat actors now spin up and discard infrastructure faster than traditional detection systems can respond.
Overloaded teams
- Security teams need intelligence that supports automation and prioritisation — not more alerts.
Who Datazag is for
We build for teams responsible for protecting brands, users, and platforms at scale.
MSSPs & MDR providers
- Portfolio-level monitoring, low-noise detection, and automation-ready incident streams.
Banks & fintechs
- Early detection of impersonation infrastructure to protect customers and reduce fraud losses.
Trust & safety teams
- Domain-level intelligence to support abuse prevention and platform integrity.
Fraud & risk teams
- Infrastructure context for scoring, correlation, and investigation.
Security data teams
- High-quality domain intelligence for analytics, enrichment, and model building
Where we are today
We are at the beginning - and intentional about it.
Early-stage product
- Datazag is an early-stage company that has built a robust intelligence foundation before scaling distribution.
Design partners
- We are aiming to onboard five MSSP beta partners in early 2026 to validate detection logic, integrations, and workflows.
Feedback-driven development
- Early partners help shape prioritisation, enrichment depth, and automation use cases.
For investors
We’re building foundational infrastructure, not a point solution.
Large addressable problem
- Phishing, impersonation, and infrastructure abuse affect security, fraud, compliance, and brand protection globally.
Data moat
- Our value compounds through scale, enrichment, and connected domain intelligence.
Platform-level opportunity
- The same intelligence layer supports multiple verticals — from MSSPs to fintech to trust & safety platforms.
Ready to chat?
We'd love to learn about your needs.
Transparent pricing, explainable signals, and flexible delivery via API, feeds, or webhooks.