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Machine Learning

Telesign Intelligence

ML-powered behavioral analytics for real-time risk detection across digital identities

Category
Software
Ideal For
Financial Institutions
Deployment
Cloud
Integrations
None+ Apps
Security
Multi-factor verification, behavioral analysis, encrypted data transmission
API Access
Yes - RESTful API for seamless integration with identity verification workflows

About Telesign Intelligence

Telesign Intelligence is an advanced machine learning platform that transforms raw identity data into actionable insights for risk mitigation and fraud prevention. The solution analyzes static and behavioral data streams from phone numbers, IP addresses, and email addresses to detect anomalies, identify suspicious patterns, and assess risk in real time. By correlating data across multiple sources, Intelligence enables organizations to make informed decisions faster while reducing false positives and operational friction. The platform excels at identifying emerging threats, account takeover attempts, and synthetic fraud before they impact customers. AiDOOS enhances Telesign Intelligence deployment through managed API governance, automated scaling for high-volume transaction processing, and seamless integration with existing security infrastructure. Organizations benefit from rapid time-to-value, enterprise-grade reliability, and expert optimization of machine learning models for their specific use cases and risk profiles.

Challenges It Solves

  • Organizations struggle to detect sophisticated fraud and account takeover attempts in real time
  • Multiple disconnected data sources create blind spots in identity risk assessment
  • High false positive rates in traditional rule-based systems create customer friction
  • Emerging threat patterns are difficult to identify without advanced behavioral analytics

Proven Results

78
Reduction in account takeover incidents with ML detection
64
Decrease in fraud-related chargebacks and disputes
52
Improvement in customer authentication success rates

Key Features

Core capabilities at a glance

Multi-Source Behavioral Analysis

Correlate phone, IP, and email data for comprehensive risk profiling

Detect 95%+ of sophisticated fraud patterns across channels

Real-Time Risk Scoring

Instant decision-making with sub-second ML model inference

Enable frictionless authentication for legitimate users

Synthetic Identity Detection

Identify fabricated personas and account creation fraud

Prevent new account fraud before money moves

Device Fingerprinting & Velocity Analysis

Track device patterns and behavior velocity across transactions

Stop organized fraud rings using coordinated attacks

Adaptive Machine Learning Models

Models continuously improve with new threat intelligence

Stay ahead of evolving fraud tactics automatically

Custom Rule Builder & Explainability

Transparent decision logic with audit trails for compliance

Meet regulatory requirements with documented decisions

Ready to implement Telesign Intelligence for your organization?

Real-World Use Cases

See how organizations drive results

Account Takeover Prevention
Detect unauthorized access attempts by analyzing login behavior, device fingerprints, and geographic anomalies. Intelligence flags suspicious sessions for step-up authentication or blocking.
89
Reduction in account compromise incidents
New Account Fraud Prevention
Identify synthetic identities and organized fraud rings during account creation by analyzing correlated phone, email, and IP data patterns.
76
Prevention of fraudulent accounts at signup
Payment Fraud Detection
Score transaction risk in real time by examining velocity, device consistency, location changes, and behavioral deviations before payment processing.
82
Reduced transaction fraud losses and chargebacks
Telecom SIM Swap & Port-Out Fraud
Monitor phone number ownership changes and detect suspicious identity verification attempts targeting mobile accounts and carrier services.
91
Prevention of SIM swap and port-out attacks
Customer Onboarding & KYC
Streamline identity verification during onboarding by validating phone numbers, detecting fake documents, and assessing identity authenticity with behavioral signals.
71
Faster compliance-ready onboarding process

Integrations

Seamlessly connect with your tech ecosystem

T

Telesign Verify

Explore

Native integration for enhanced SMS/voice verification with risk context from Intelligence

T

Telesign Messaging

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Route authentication messages intelligently based on risk scores and user behavior

S

Standard APIs

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RESTful APIs for integration with custom fraud prevention, CRM, and security platforms

S

Splunk

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Stream risk events and analytics to Splunk for SIEM correlation and security monitoring

S

Salesforce

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Embed risk scoring in Salesforce for CRM-driven customer interaction decisions

A

Azure & AWS

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Cloud-native deployment with managed scaling on major cloud platforms

A

Authentication Systems

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Integrate with Okta, Auth0, and enterprise IAM for step-up authentication workflows

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

See how it works for your team

Alternatives & Comparisons

Find the right fit for your needs

Capability Telesign Intelligence StageZero Technolog… Midjourney Clay Research
Customization Excellent Excellent Excellent Excellent
Ease of Use Good Good Excellent Good
Enterprise Features Excellent Excellent Good Excellent
Pricing Fair Fair Good Fair
Integration Ecosystem Good Excellent Good Excellent
Mobile Experience Good Fair Fair Excellent
AI & Analytics Excellent Excellent Excellent Good
Quick Setup Good Good Excellent Good

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Frequently Asked Questions

How does Intelligence differ from traditional rules-based fraud systems?
Intelligence uses machine learning to identify complex fraud patterns invisible to static rules. It continuously adapts to new threats and reduces false positives by analyzing behavioral context across phone, IP, and email data simultaneously. AiDOOS manages model optimization to ensure peak performance for your specific risk landscape.
What data does Intelligence analyze?
Intelligence processes phone numbers, IP addresses, email addresses, device fingerprints, velocity signals, geographic data, and behavioral patterns. It does not store or process full identity documents—only the risk signals needed for real-time decision-making.
How quickly can we deploy Intelligence with AiDOOS?
Most deployments are operational within 2-4 weeks. AiDOOS handles API integration, scaling, and model tuning so your team can focus on configuring business rules and thresholds specific to your risk tolerance.
Does Intelligence meet regulatory compliance requirements?
Yes. Intelligence supports GDPR, CCPA, HIPAA, and SOC 2 compliance. AiDOOS maintains audit trails, encryption standards, and data residency configurations required by your jurisdiction and industry.
Can we customize the risk scoring model for our business?
Absolutely. Intelligence models are customizable by industry vertical, geography, and use case. AiDOOS provides managed tuning services to optimize sensitivity, thresholds, and weightings based on your fraud patterns and acceptable false positive rates.
What is the typical ROI timeline for Intelligence deployment?
Most customers see measurable fraud reduction within 30 days and positive ROI within 90-120 days through reduced chargebacks, fewer false declines, and lower investigation costs.