The deployment guide
Complete guide to device intelligence
Nine practical questions cover platform selection, recognition, risk interpretation, integration, costs and evaluation.
How Does a Device Intelligence Platform Work?
Supported collection observes the client and environment. Matching connects relevant visits; integrity and risk analysis interpret current evidence; account context links activity to the application action. Vendors combine these layers differently, so verify the actual product and response.
Read the detailed guide ↗How to Detect Risky Devices with Device Intelligence
Inspect current device/network conditions, recognition history and the account action together. A repeated identifier, a new device and a privacy connection are different facts. Use supported integrity checks and account-level context rather than treating any one attribute as proof of fraud.
Read the detailed guide ↗What Is the Difference Between Device Intelligence, Bot Management, and Payment Fraud Scoring?
Device intelligence supplies recognition and environment context. Bot management assesses automation and its treatment. Payment risk combines transaction-specific evidence. These capabilities can overlap, but a browser identifier alone does not validate a payment or establish authorized account access.
Read the detailed guide ↗How Do You Integrate a Device Intelligence Platform?
Install the supported collection on the chosen flow, preserve the event reference and retrieve the trusted backend result. Associate the relevant account where appropriate. Handle delays, duplicates, quotas and absent fields under the actual provider contract.
Read the detailed guide ↗What Should You Do When a Device Is Flagged?
Read the finding’s meaning and the action’s context. An unusual environment, a low-confidence match and confirmed account abuse are different situations. Keep detection, application consequence and legitimate-user recovery separately reviewable.
Read the detailed guide ↗How Much Does a Device Intelligence Platform Cost at Your Volume?
Count protected identifications, fraud checks, Risk API requests or tracked users under the selected plan. ShieldLabs starts with 5,000 free identifications and paid entry at 99 US dollars monthly for 25,000 identifications. Compare features, units and operational work rather than a free quota alone.
Read the detailed guide ↗How Will Device Intelligence Change from 2026 to 2030?
Plan for browser privacy changes, collection versions, changing client environments and new forms of automation. Preserve field semantics and repeatable recognition tests so the application can adapt. This is a planning horizon, not a promise of universal future persistence or identification.
Read the detailed guide ↗Which Device Intelligence Platform Fits Which Scenario?
Choose current device/account context for product abuse, a hosted identification layer for recognition, shared reputation when external history is relevant or a raw library for controlled collection experiments. Native mobile and browser evaluations require distinct test conditions.
Read the detailed guide ↗What Should You Verify Before Buying a Device Intelligence Platform?
Verify matching scope, false merges and splits, integrity fields, account history, data handling, API delivery and current entitlements. Evaluate known same-device and different-device cases as well as legitimate users. Keep unavailable outcomes separate from negative detections.
Read the detailed guide ↗Before using the result in production
- Define the event and the consequence of a wrong result.
- Test known-device recognition and distinct-device separation.
- Inspect integrity evidence, account links and unavailable states.
- Confirm plan fields, data handling and the supported client.
- Review legitimate-user outcomes and the operating owner.