Identify high-risk users—even if they try to stay hidden.
Make smart, data-driven decisions with Smart Signals to prevent increasingly sophisticated fraud and improve positive experiences for trusted users.
Start Free TrialMulti-Layered Data Intelligence: Context-Driven Security
Combines device metadata, IP reputation, biometric signals, and location velocity to build a complete fraud risk profile.
Instant Fraud Alerts Enable Immediate Action
Suspicious activity triggers real-time alerts, allowing businesses to respond before fraud impacts operations.
Explainable risk scoring
Every signal adds a weighted amount to the risk score, so you can see exactly why a session was flagged.
FRAUDSTERS ARE GETTING SMARTER
Shouldn't the signals you use be getting smarter too?
Fraudsters use bots, fake accounts, and automation to exploit businesses through promo abuse, payment fraud, spamming, and account takeovers. Traditional fraud detection struggles to catch device spoofing, VPN masking, and scripted attacks, leaving businesses exposed.
Keypaz's Intelligent Signal stops fraud before it happens. By analyzing device integrity, network and IP signals, and location movement in real time, it detects fraud bots, abusive users, and high-risk sessions instantly. Every signal feeds rules you control and can audit, so you can tune your defenses as new threats appear.
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{
"identification": {
"data": {
"activity_id": "64576dbd-f51f-49e5-9004-0cbb4fee8115",
"timestamp": 1790063377,
"platform": "android",
"application": "com.fazpass.fiahci",
"score": 1
}
},
"root": {
"data": {
"result": false
}
},
"emulator": {
"data": {
"result": false
}
},
"gps_spoof": {
"data": {
"result": false
}
},
"vpn": {
"data": {
"result": false
}
},
"clonning": {
"data": {
"result": false
}
},
"screen_sharing": {
"data": {
"result": false
}
},
"debugging": {
"data": {
"result": false
}
},
"usb_debug": {
"data": {
"result": true
}
},
"sdk_information": {
"data": {
"version": "1.1.6"
}
},
"sim_information": {
"sim_serial": ["8962110981654320570"],
"sim_operator": ["Indosat Ooredoo"]
},
"device_information": {
"data": {
"id": "9cdf39e4-0a2b-4dd5-872c-4231cb63ed90",
"name": "vivo",
"os_version": "33",
"series": "V2207",
"cpu": "MT6769V/CZ",
"reset_time": "2022-07-01 09:09:09 +0000 +0000"
}
},
"biometric": {
"data": {
"is_biometric": false,
"is_changed": false,
"level": "LOW"
}
},
"merchant_app_id": "a820ddd9-078c-4759-8604-2b32c77124b5",
"account_takeover": {
"data": {
"is_violated": false,
"reason": "This devices is appeared before"
}
},
"bot_detection": {
"data": {
"is_violated": true,
"reason": "ADB/USB debugging is enabled",
"score": 20,
"decision": "detect",
"reasons": [
{
"code": "ADB_ENABLED",
"severity": "medium",
"score": 20,
"message": "ADB/USB debugging is enabled",
"value": true,
"limit": false
}
],
"rule_version": "mobile-bot-v2",
"first_seen": "2026-09-22T07:49:22.591Z",
"last_seen": "2026-09-22T07:49:37.475117014Z",
"occurrence_count": 2
}
},
"sim_swap": {
"data": {
"is_violated": true
}
},
"velocity": {
"data": {
"current_location": {
"city": "Sukarasa",
"country": "Indonesia",
"lat": -6.88546,
"lng": 107.595,
"ip": "45.127.207.62",
"ip_provider": "FORPRO",
"time": "2026-09-22T07:49:37.475117Z"
},
"previous_location": {
"city": "Sukarasa",
"country": "Indonesia",
"lat": -6.88546,
"lng": 107.595,
"ip": "45.127.207.62",
"ip_provider": "FORPRO",
"time": "2026-09-22T07:49:22.591059Z"
},
"previous_activity_id": "e0369b78-1292-42b6-a568-29d217783b6c",
"travel_distance": 0,
"elapsed_time": 15,
"estimated_movement": 0
}
}
}Device Insights
OS Integrity Check
Validate if the device's OS and hardware components are genuine and unaltered.
Device Identity Matching
Recognize when a device has been factory reset and flag it for potential fraud risks.
Tampering Detection
Identify unauthorized code modifications or app alterations and prevent security breaches.
Bot Detection
Identify automated bot traffic and scripted interactions designed to mimic real users.
Cheating Tool Detection
Identify and block third-party cheating tools that manipulate app functions.
Anti-Debugging
Detect active debugging attempts and block unauthorized access.
IP Behavioural Insight
VPN Detection
Detect VPN, datacenter and proxy connections with server-side IP intelligence, so users can’t hide their real network.
Velocity Checks
Compare each session with the previous one, using distance, elapsed time and network provider, to flag impossible travel and abnormal location movement.
Application Insight
Fraudulent & High-Risk App Identification
Keypaz identifies cloned, tampered, and high-risk apps in real time, ensuring only trusted applications access your platform.
Application Execution Environment Validation
Ensure apps are running in a secure, expected environment by detecting unauthorized emulators or virtual machines.
Behavioural Metadata
Activity Patterns
Tracks how often a device repeats an action, such as OTP requests per minute, and when it was first and last seen, so scripted or repeated abuse stands out.
Movement Anomalies
Flags sessions that break a device’s usual pattern, like impossible travel between logins or a sudden change of network provider.
Velocity monitoring
Movement analysis
Geo velocity check
VELOCITY MONITORING
Catch impossible travel between sessions
Keypaz compares every session with the last one from the same user: where it came from, how far away that is, and how much time has passed. From that it works out how fast the user would have had to move. A login from Paris followed 38 seconds later by one from Ciputat, Indonesia, 11,579 km away, implies a speed of 1,096,959 km/h. That session gets flagged as impossible travel.
Impossible travel detection
Flags sessions where the implied speed between two locations is physically impossible.
Abnormal location movement
Spots sudden jumps to a new city or country between sessions.
Movement pattern consistency
Checks that a user’s movement stays consistent with their past sessions.
Network provider changes
Flags when the network provider changes along with the location.
Trusted by companies across industries
