SecurityAnomalies
AI powered outlier detection
To dynamically assign risk scores, respond
to threats and prevent fraud.
Dynamically assign risk scores, respond
to threats and prevent fraud
Multi-dimensional behavioral
profiling
profiling
Form a signature unique to each user by mapping multiple data points across mouse movements and touch gestures
Unsupervised & supervised ML
models
models
Leverage unsupervised clustering to discover new threat patterns and supervised classifiers trained on historical fraud cases
Contextual anomaly scoring
Generates dynamic risk scores by evaluating behavior against context—time of day, transaction value, user history, and device state
Secure any Web App, at scale,
in real time
Deploy in just 2 minutes with
minimal impact
minimal impact
Get support in meeting compliance with
industry regulations
industry regulations
Defend against sophisticated threats
at rest and at runtime
at rest and at runtime
Product impact
Rapid detection of account takeover attempts
Identify suspicious login activity and behavioral deviations in real time
to stop unauthorized access before accounts are compromised
to stop unauthorized access before accounts are compromised
Insider threat identification
Continuously monitor user behavior and privilege escalations to
uncover malicious insider actions and reduce organizational risk
uncover malicious insider actions and reduce organizational risk
Fraudulent multi-account activity detection
Uncover coordinated attacks by detecting behavioral and device
overlaps across multiple fraudulent accounts in real time
overlaps across multiple fraudulent accounts in real time
Optimized security responses
Leverage dynamic risk scores and contextual alerts to focus
security operations on the highest threats
security operations on the highest threats
What you can achieve with Bot detection
Key capabilities
AI/ML-powered risk scoring
Leverage advanced machine learning models to
assign accurate, context-aware risk scores that
evolve with emerging threat landscapes
assign accurate, context-aware risk scores that
evolve with emerging threat landscapes
Multi-source data fusion
Aggregate and correlate telemetry from diverse
sources for a holistic and precise view of user and
system activity anomalies
sources for a holistic and precise view of user and
system activity anomalies
Adaptive alerting & response
Generate actionable alerts with risk prioritization and
trigger automated mitigation workflows based
on dynamic threat assessment
trigger automated mitigation workflows based
on dynamic threat assessment
Continuous model training
Automatically retrain anomaly detection models
with fresh data to maintain effectiveness against
evolving attack techniques
with fresh data to maintain effectiveness against
evolving attack techniques
Industry solutions
Digital Banking
Protect mobile banking apps from account
takeover, transaction fraud, and regulatory
non-compliance
takeover, transaction fraud, and regulatory
non-compliance
Credit & Lending
Enhance alternative underwriting with device
intelligence data while preventing application
fraud
intelligence data while preventing application
fraud
Fintech Platforms
Secure lending, payment, and investment
apps against synthetic identity fraud and
device manipulation
apps against synthetic identity fraud and
device manipulation
Insurance Technology
Detect claim fraud and protect policy
management applications from malicious
activities
management applications from malicious
activities
Got questions?
We guessed a few
We guessed a few
What is Sense RASP and how does it work?
Think of Sense RASP as your app's personal security team. We embed intelligent protection directly into your mobile banking application, monitoring every interaction, analyzing every behavior, and blocking threats in real-time
How is Sense different from Appdome, Protectt.ai or other mobile security platforms?
While many mobile security platforms rely on reactive shielding or static wrappers, Sense continuously monitors every interaction, analyzes behavioral patterns in real time, embedding intelligent protection directly into your mobile banking application rather than bolting on external layers.
Why should banks choose Sense over traditional security solutions?
Every user interaction is analyzed, every device fingerprint is validated, and high-risk actions are thwarted instantly. The result? Smarter fraud detection, fewer false positives, and seamless journeys for genuine customers—all while meeting stringent compliance requirements.
What integration support does Sense provide to ensure a smooth rollout?
From day one, Sense acts as an extension of your team. Our dedicated integration specialists guide your engineers through SDK setup, API configuration, and fine-tuning of risk policies. Most banks go live in just a few weeks, with real-time dashboards.
Can Sense protect against emerging mobile fraud tactics like device spoofing and behavioral bots?
Absolutely. Sense combines advanced device intelligence with behavioral analytics to spot subtle anomalies—such as mismatched sensor data, improbable gesture patterns, or automated bot flows. When these red flags arise, Sense intervenes immediately.