Strengthening Online Security Through Device Intelligence

"Cyber threats move fast, and attackers probe weak spots across accounts, apps, and payment flows. Static checks and one-time prompts leave gaps that skilled adversaries learn to bypass. Teams need real-time context that ties behavior to devices and turns every decision into a precise risk call. Device intelligence assembles trustworthy signals from hardware, software, and networks to build that picture. It raises the cost of fraud, trims friction for trustworthy users, and gives product and security leaders a control plane that protects growth."

"Device intelligence gathers trustworthy, low-latency signals from the hardware, software, network, and session that a user presents. Those signals reveal consistency, novelty, and intent. A familiar laptop on a known home network with a history of clean behavior points to low risk. A fresh device with a mismatched time zone and impossible travel flags frictionless step-up checks before damage occurs."

"Device intelligence blends attributes from the browser, operating system, network, and runtime. Teams collect stable identifiers that respect privacy, such as cryptographic device keys or passkey credentials, and pair them with ephemeral signals like IP reputation, autonomous system number, user agent integrity, screen characteristics, sensor availability, and WebAuthn attestation. Models weigh each input in context, then output a risk score and a recommendation for the next action."

Device intelligence collects trustworthy, low-latency signals from hardware, software, network, and session to assess consistency, novelty, and intent during user interactions. Familiar device and network combinations with clean histories indicate low risk, while new devices, mismatched time zones, or impossible travel trigger step-up checks. Combining stable, privacy-respecting identifiers like cryptographic device keys or passkeys with ephemeral signals such as IP reputation, AS number, user agent integrity, screen characteristics, sensor availability, and WebAuthn attestation enables continuous verification. Models weight signals in context to produce a risk score and recommended action, raising the cost for attackers and reducing friction for legitimate users.

Read at Business Matters