Device-based risk scoring catches account takeover attempts that passwords and MFA alone cannot stop. TRACIO recognizes trusted devices and challenges unknown ones — invisibly.
lost to account takeover fraud in 2024, up from $12.7B the year before — ATO is now the fastest-growing identity fraud category.
Javelin Strategy & Research, 2025 Identity Fraud Study
Account takeover is the fastest-growing identity fraud category. Attackers purchase valid credentials from infostealer logs, SIM-swap phone numbers, and intercept one-time codes with real-time phishing kits. The login looks legitimate because the credentials are legitimate.
MFA adds friction for every user but only slows sophisticated attackers. Session hijacking, MFA fatigue attacks, and phishing proxies (like EvilProxy and Evilginx) bypass second factors entirely. Once inside, attackers change recovery emails within minutes.
The signal that cannot be spoofed is the device itself. When you know that a login attempt originates from an unrecognized device — regardless of valid credentials — you can challenge or block before damage is done.
TRACIO adds a device trust layer to your authentication flow without changing the user experience for legitimate users.
Every login attempt is matched against the account's known device list. Trusted devices pass through silently — no extra friction.
Unrecognized devices trigger risk assessment: VPN status, bot signals, incognito mode, device age, and geographic plausibility are evaluated in real time.
High-risk logins trigger step-up authentication (MFA, email verification, or CAPTCHA). Low-risk new devices are soft-challenged with a confirmation email.
Post-login, TRACIO monitors for session anomalies: device switching mid-session, sudden IP changes, and rapid privilege escalation attempts.
Each technique exploits a different weakness in credential-based authentication. TRACIO covers them all with device intelligence.
Bots cycle through millions of breached username-password pairs. Device-level rate limiting stops them even when they rotate through thousands of residential proxies.
Stolen session tokens let attackers skip login entirely. TRACIO detects when a session migrates to a different device mid-flight and forces re-authentication.
Real-time phishing proxies (EvilProxy, Evilginx) relay credentials and MFA tokens transparently. TRACIO flags the proxy device as unrecognized, blocking the relayed session.
Attackers bombard users with push notifications or intercept SMS codes. TRACIO's device check runs before MFA — unknown devices are challenged or blocked outright.
Results based on industry benchmarks and published research.
ATO attempts intercepted before access
Aite-Novarica / Datos Insights, 2024
drop in compromised-account support tickets
Javelin Strategy & Research, 2025
false positive rate on legitimate logins
Experian Fraud Research, 2024
reduction in MFA friction vs. blanket MFA
Forrester IAM Research, 2024
Results vary by industry, attack volume, and existing security stack. Figures represent ranges observed across published research and are not guarantees.
Per-account device allowlist built automatically from login history. Known devices skip friction; unknown devices trigger verification.
Sub-50ms risk assessment for every authentication attempt. Combines device trust, IP intelligence, velocity, and behavioral signals.
Detect headless browsers, Selenium, Puppeteer, and automation frameworks. Flag credential stuffing bots before they reach your auth endpoint.
Detect device switching within an active session. Flag when a session token migrates to a different browser, OS, or hardware profile.
Identify when the same device accesses multiple accounts. Surface shared-device patterns that indicate ATO rings or credential trading.
Flag logins from geographically implausible locations in rapid succession. Combine IP geolocation with device continuity for high-confidence alerts.
A few lines of code, one API response with everything you need.
import Tracio from '@tracio/client'// Initialize on page loadconst tracio = await Tracio.load({ apiKey: "tk_live_..." })// Get device trace at loginconst { deviceId, riskScore } = await tracio.identify()// Send to your auth backendconst res = await fetch("/api/auth/login", { method: "POST", body: JSON.stringify({ deviceId, riskScore, email: form.email, password: form.password, }),})Start with a free plan. Deploy in minutes. See results from day one.