Discern real humans
from bots and automation
Botlens analyzes your sessions to instantly reveal which are from genuine human users and which are from automated systems to empower your decision-making
Light-weight
background process
Accurate response
in milliseconds
Granular control over
incoming traffic
Try Botlens in your own environment
AI-driven analysis
Machine learning is employed to determine behavioural trends unique to humans but absent in bots
Flow Sequence Control
User Behavior Analysis
Source Monitoring
Device Integrity Check
Flow Sequence Control
Flow Sequence Control Ensure logical and consistent sequencing of screens and user actions. Detect anomalies like unusually rapid task completion or repetitive actions.
User Behavior Analysis
User Behavior Analysis Analyze user behavior patterns (mouse movements, keystrokes, page navigation) to identify irregularity signaling simulated sessions
Source Monitoring
Implement robust security measures to validate application launches, allowing only recognized and trusted sources.
Device Integrity Check
Utilize device fingerprinting techniques to detect unique characteristics distinguishing bots from human users.
Reveal the true nature of visitors in milliseconds
Decide how to handle different user types accessing your product at scale.
Clarity in every interaction
Discover the true nature of each user session and make informed decisions with clear, precise insights.
Connect to any process
Our flexible integration allows you to connect Botlens into any process to improve your decision-making at scale.
Push UX to the next level
Adapt the user experience and let your users enjoy easy onboarding without unnecessary verifications and security measures.
Data-driven insights
It's not just about detection; it's about understanding. Gain actionable insights from sophisticated, data-driven analyses.
How it works
Botlens analyzes user behavior to identify patterns to determine if the user is a human or an automated session
Biometric: Liveness module
Liveness check ensures that the biometric data being presented is from a live, present individual and not a static or replicated source
Real-time tracking of movement, order of actions combined with irregular visual artefacts analysis
Enables comparison of the captured face and portrait picture from the document
Non-biometric: Signature module
Signature pattern recognition allows for automated analysis via machine learning and statistical analysis
Enables comparison of signature interactions 1-1 and 1-N
Real-time tracking of movement, acceleration, time, size, position, shape, and other parameters detects simulated activity
Results
All results are readily available in your backoffice..
Use-Cases
For businesses with a mix of human and automated traffic, controlling session flow is crucial.
Describe your use-case and we’ll show you the perfect setup
