Intelli Digital Footprinting
ATNA's Intelli Digital Footprinting aggregates internet-scale signals across email, phone, IP address, and device to build a unified risk profile for any identity in real time. Built for fintechs, lenders, and regulated businesses that need to move fast without compromising on fraud prevention.
Why Intelli Digital Footprinting?
- Verify identity signals instantly — validate whether an email, phone, or IP is real, active, and low-risk before onboarding.
- Reduce friction for good users — make risk decisions in milliseconds without adding manual review steps.
- Detect synthetic and stolen identities — cross-reference signals across ATNA's consortium data to surface accounts built on fake or recycled credentials.
- Four signal types, one integration — email, phone, IP, and device covered in a single unified API suite.
- India-ready and globally scalable — optimized for Indian fintechs and APAC markets with global reach.
- SIM swap and number porting detection — catch recent SIM swaps before they become account takeover events.
Capabilities
1. Email Intelligence
Validate and enrich any email address with reputation, activity, and breach signals.
- Domain age, MX record validity, and disposable email detection
- Breach history and dark web exposure
- Social media and platform presence linked to the email
- Free vs corporate vs suspicious domain classification
2. Phone Intelligence
Assess phone number risk across mobile, landline, and VoIP.
- Carrier lookup, line type detection, and porting history
- Prepaid vs postpaid classification
- SIM swap detection
- Reachability signals and associated name enrichment
3. IP Intelligence
Understand the network context behind every connection.
- Geolocation: country, region, city, postal code
- VPN, proxy, Tor exit node, and datacenter detection
- ISP and ASN identification
- IP reputation scoring and historical abuse flags
4. Device Intelligence
Fingerprint and assess every device that touches your platform.
- Unique device ID generation across web and mobile
- Browser and OS fingerprinting with emulator detection
- Rooted device and app cloning detection
- Behavioral signals: typing cadence, mouse movement, touch gestures
- Bot detection and automation flag
How It Works
- Send signals — submit email, phone, IP, or a device session token to the endpoint.
- Enrich — ATNA enriches each signal against consortium data, breach databases, telco records, and internet-scale sources.
- Score — a composite risk score is returned alongside granular sub-scores per signal type.
- Decide — approve, flag, or block based on the score and your configured thresholds.
Use Cases
1. Onboarding fraud prevention Flag fake or synthetic accounts at registration by checking whether the email and phone belong to a real, active person — before a single rupee is disbursed.
2. Account takeover detection Detect login attempts from unfamiliar IPs, new devices, or VPN-masked connections and trigger step-up authentication automatically.
3. Payment risk scoring Enrich each transaction with device and IP context to catch card-not-present fraud and mule account activity in real time.
4. KYC pre-screening Run a lightweight digital footprint check before a full KYC flow to filter out obviously fraudulent submissions and reduce verification costs.
View API Reference →