Sequenxa
BEHAVIORAL ANALYSIS PLATFORM

Sequenxa Tundra™

Transform point-in-time verification into continuous trust evaluation. Sequenxa Tundra™ establishes behavioral baselines and monitors digital interaction patterns to detect anomalies before they become security incidents. Our proprietary Confidence Scoring system provides real-time trust verification long after initial identity checks.

Trust Monitor2025-05-16 18:44:09
SESSION: TS460699
Confidence Score
91.99/100
Behavioral Drift
+0.21/Δ
Session Analysis
87.96/100
Geography Match
100.00/100
TUNDRA.MONITOR::ACTIVE
CONTINUOUS EVALUATION
Request Access
Continuous Monitoring

You don't lose trust overnight. You lose it quietly.

Traditional verification creates a false sense of security through static, point-in-time checks. Tundra establishes continuous behavioral baselines and alerts security teams the moment patterns deviate from normal parameters—detecting insider threats, account takeovers, and compromised credentials before damage occurs.

TRADITIONAL VERIFICATION
POINT-IN-TIME
Initial Verification
← Unmonitored Degradation →
Breach Detected
One-time identity check
No behavioral analysis
Static security model
Blind to account takeovers
Reactive to incidents
TUNDRA CONTINUOUS MONITORING
CONTINUOUS
Initial Baseline
Pattern Shift
Anomaly Detected
Alert Triggered
TRUST CONFIDENCE SCORE
75.8%
Persistent behavioral baselines
Real-time anomaly detection
Dynamic trust scoring
Proactive risk mitigation
Advanced drift analysis
Behavioral Intelligence

Advanced Behavioral Intelligence

Tundra silently builds comprehensive behavioral profiles through passive monitoring, establishing normal patterns and detecting subtle deviations that indicate compromised access or insider threats.

SESSION ANALYSIS
REAL-TIME
Mouse Movement
90%
Cursor velocity, precision, and path consistency analysis
Typing Patterns
92%
Keystroke dynamics, timing intervals, and error correction
Interaction Frequency
93%
Click patterns, form interaction time, and navigation behavior
Pause Patterns
91%
Hesitation analysis, decision timing, and cognitive processing
TUNDRA.BEHAVIOR.MONITOR
ACTIVE
DEVICE INTELLIGENCE
TECHNICAL VERIFICATION
MATCH CONFIDENCE: 98.7%DEVICE ID: DF17639
Browser Fingerprint
EXACT MATCH • 100%
IP Geolocation
EXACT MATCH • 100%
Hardware Signature
STRONG MATCH • 96.2%
Connection Pattern
STRONG MATCH • 98.5%
TUNDRA.DEVICE.VERIFY
VERIFIED
INTERACTION MAPPING
BEHAVIORAL PATTERNS
94.3%PATTERN MATCH
Navigation Patterns
97.2%
Feature Usage
95.8%
Decision Timing
91.3%
Action Sequence
93.0%
TUNDRA.PATTERN.ANALYSIS
MONITORING

Technical Specifications

  • Data Collection: Passive behavioral monitoring via Sequenxa Permawatch™ collection agents
  • Analysis Engine: Proprietary TundraCore™ machine learning models
  • Storage: Secure, encrypted behavioral profiles in Sequenxa Vault™
  • Processing: Real-time anomaly detection via Sequenxa Pattern Recognition™
  • Integration: Enterprise-ready API endpoints for seamless system integration
Real-Time Analysis

See Behavioral Drift in Real Time

Tundra's proprietary drift detection algorithms continuously analyze behavioral patterns against established baselines, alerting security teams the moment trust begins to erode—often weeks or months before traditional systems would detect a breach.

BEHAVIORAL TIMELINE
USER: JD1401
08:0008:3009:0009:3010:00
100%80%60%40%20%
Login
08:15:2797.8%
Document Access
08:27:4296.9%
Form Submission
08:39:1595.7%
Download Request
08:46:3394.2%
Password Update
09:02:1990.3%
Payment Authorization
09:18:4485.6%
Multiple Failed Attempts
09:25:1178.3%
Unusual Navigation Pattern
09:31:5068.9%
Anomalous Behavior
09:39:2255.4%
Alert Triggered
09:42:0742.8%
PLAY
PAUSE
09:42:07
TRUST SCORE EVOLUTION
PROACTIVE
ANOMALOUS BEHAVIOR DETECTED
Confidence score has dropped by 54.3% in the last 30 minutes. Multiple suspicious activities detected.
Drift Metrics
Interaction Pattern
-62.7%
Navigation Speed
-58.3%
Resource Access
-43.9%
Anomaly Detection
Multiple failed authentication attempts (09:25:11)
Unusual navigation pattern detected (09:31:50)
Critical resource access attempt (09:39:22)
PROACTIVE ALERTS
• Step-up authentication triggered (09:40:15)
• Session flagged for review (09:41:03)
• Resource access restricted (09:41:58)
• Security team notified (09:42:07)

Real-World Impact

A Fortune 500 financial institution deployed Tundra and detected an insider threat 47 days before sensitive data exfiltration would have occurred—a threat that passed all traditional verification checks.

View Case Studies
∑(wi × si)
∫t0t1 B(t) dt
F(x) = P(X ≤ x)
e-λt
Computational Framework

The Science Behind the Score

Tundra's Confidence Score™ combines multiple behavioral factors into a dynamic trust metric that evolves in real-time. Unlike static verification systems, our algorithmic approach provides continuous assurance through sophisticated pattern analysis.

CONFIDENCE FORMULA
MATHEMATICAL MODEL
CONFIDENCE SCORE FORMULA
C = ∑i=1n wi × si
WHERE:
C = Confidence Score (0-100)
wi = Weight of component i
si = Score of component i (0-100)
n = Number of components
TEMPORAL ADJUSTMENT:
Ct = C0 × e-λΔt + B(t)
TIME VARIABLES:
Ct = Confidence at time t
C0 = Initial confidence score
λ = Decay constant
B(t) = Behavioral adjustment at time t
SAMPLE CALCULATION:
Face Match (93.2 × 0.3)27.96
Device Print (98.7 × 0.2)19.74
Signature (91.5 × 0.2)18.30
Session (87.3 × 0.2)17.46
Geography (99.8 × 0.1)9.98
CONFIDENCE SCORE93.44
SCORE COMPONENTS
WEIGHTED ANALYSIS
30%
20%
20%
20%
10%
Face Match Consistency
30%
Proprietary facial recognition algorithms verify consistent biometric markers across sessions without storing raw images—only secure mathematical embeddings.
Device Fingerprint
20%
Comprehensive device identity tracking that monitors consistency across sessions while detecting suspicious hardware or software anomalies.
Signature Naturalness
20%
Advanced analysis of signature stroke dynamics, pressure points, and timing patterns that distinguish natural human signing from mechanical replication.
Session Behavior
20%
Continuous monitoring of navigation patterns, interaction rhythms, and decision-making behavior that establish unique behavioral fingerprints.
Geographic Continuity
10%
Location consistency analysis that flags sudden geographic shifts or suspicious connection patterns that may indicate account compromise.
ADAPTIVE SCORING METHODOLOGY
HIGHLOWTIME
Normal decay
Compromise
Unlike static trust systems, Tundra's Confidence Score adapts to gradual behavioral evolution while maintaining sensitivity to sudden changes. Our proprietary algorithms distinguish between natural pattern drift and suspicious anomalies through continuous baseline recalibration.
Signal Analysis

Every Signal Tells a Story

Tundra transforms raw behavioral data into actionable intelligence, identifying subtle patterns that reveal potential threats before they manifest. Our multi-layered signal analysis provides security teams with clear, contextual insights.

BEHAVIORAL SIGNAL ANALYSIS
PATTERN ANALYSIS
SIGNAL CLASSIFICATION
Time of Day Variance
HIGH
Input Fluency Change
MEDIUM
Navigation Pattern Shift
LOW
Resource Access Anomaly
HIGH
INTERACTION PATTERN ANALYSIS
BASELINEANOMALY

Tundra's proprietary behavioral analysis engine monitors hundreds of micro-interactions, building comprehensive pattern recognition models unique to each user and environment.

  • Typing rhythm anomalies
  • Navigation pattern shifts
  • Decision timing variations
  • Interface interaction changes
  • System usage deviations
TRUST DECAY TIMELINE
TEMPORAL ANALYSIS
DAY 1 - 08:34
Initial Authentication
Trust Score: 96.7%
DAY 3 - 14:17
Time of Day Shift
Trust Score: 87.3%
DAY 7 - 09:56
Navigation Anomaly
Trust Score: 76.4%
DAY 9 - 02:23
Unusual Access Pattern
Trust Score: 58.9%
DAY 10 - 03:41
ACCESS BLOCKED
Trust Score: 32.1%

Monitor subtle erosion in trust metrics over time with precise visualization of behavioral drift patterns that reveal potential compromise long before traditional breach detection.

  • Gradual behavioral drift
  • Authentication pattern changes
  • Increasing anomaly frequency
  • Session consistency degradation
  • Credential usage variations
PROACTIVE ALERT SYSTEM
RESPONSE SYSTEM
CRITICAL ALERT
03:41:22
Access attempt outside approved hours
MEDIUM ALERT
09:56:37
Unusual navigation pattern detected
LOW ALERT
14:17:05
Session time variance from baseline

Tundra's intelligent alerting framework prioritizes notifications based on risk severity, providing security teams with actionable intelligence without alert fatigue.

  • Risk-based prioritization
  • Contextual alert enrichment
  • Progressive escalation protocols
  • Integration with security workflows
  • Detailed forensic evidence capture
System Architecture

Military-Grade Infrastructure

Tundra's sophisticated architecture leverages Sequenxa's most advanced security technologies to create a secure, scalable, and privacy-compliant behavioral monitoring system that integrates seamlessly with existing security infrastructure.

SYSTEM ARCHITECTURE
TECHNICAL OVERVIEW
DATA CAPTURE FRAMEWORK
BROWSER
Interaction patterns, navigation, timing
DEVICE
Hardware signature, OS fingerprint
BEHAVIORAL
Mouse movements, typing patterns
GEOGRAPHIC
Location data, connection details
BEHAVIORAL ANALYSIS ENGINE
ML CLASSIFICATION
Pattern recognition models
ALERT GENERATION
Risk assessment framework
DATA CAPTURE LAYER
INPUT FRAMEWORK

Tundra's passive collection framework leverages Sequenxa PermaSensor™ technology to gather behavioral signals without impacting user experience or system performance.

  • Sequenxa EdgeCapture™ for serverless data collection
  • Sequenxa SecureRelay™ for encrypted middleware processing
  • Privacy-first design with data minimization principles
ANALYSIS ENGINE
PROCESSING LAYER

Our proprietary TundraCore™ behavioral analysis engine transforms raw signals into comprehensive behavioral patterns using advanced Sequenxa Cognitive™ technology and proprietary machine learning models.

  • Sequenxa PatternSense™ for behavioral recognition
  • TundraML™ models for behavioral fingerprinting
  • Real-time processing with minimal latency
CLASSIFICATION SYSTEM
DETECTION LAYER

Tundra's adaptive classification framework continuously refines its understanding of normal behavior while detecting subtle anomalies through sophisticated Sequenxa Perception™ algorithms.

  • Sequenxa AdaptiveCore™ for adaptive classification
  • Continuous model training and refinement
  • Advanced anomaly detection algorithms
ALERT FRAMEWORK
ACTION LAYER

Our intelligent TundraAlert™ system transforms behavioral anomalies into actionable security intelligence, integrating seamlessly with existing security operations workflows.

  • Sequenxa Sentinel™ for alert generation
  • Customizable risk thresholds and triggers
  • Integration with SIEM systems and security platforms

Security & Compliance

Tundra maintains the highest standards of data security and compliance, with built-in support for:

  • GDPR compliance with data minimization principles
  • SOC 2 Type II certified infrastructure
  • HIPAA-ready deployment configurations
  • FedRAMP moderate compatible architecture
  • ISO 27001 certified security controls
Knowledge Base

Frequently Asked Questions

Common questions about Tundra's continuous behavioral monitoring technology and how it enhances your security posture.

Traditional verification provides a one-time check, while Tundra offers continuous behavioral monitoring that detects trust erosion over time. Rather than simply verifying identity at a single point, Tundra establishes behavioral baselines and alerts when patterns change, providing persistent security beyond initial verification.
No. Tundra follows privacy-by-design principles and never stores raw biometric data. Instead, we generate secure mathematical embeddings and hashes that cannot be reverse-engineered to produce original biometric information—ensuring compliance with GDPR, CCPA, and other privacy regulations.
Most enterprise deployments are completed within 2-4 weeks, with initial behavioral baselines established within 7-10 days of system activation. Our Sequenxa SecureDeploy™ architecture ensures seamless integration with existing security infrastructure and identity management systems.
Tundra excels at detecting subtle behavioral anomalies that indicate various security threats, including account takeovers, credential sharing, insider threats, social engineering successes, and unauthorized access attempts—often weeks or months before traditional security systems would identify a breach.
Tundra offers extensive integration capabilities, including REST APIs, webhook support, SIEM integration, and direct integration with popular security orchestration platforms. Our system complements existing security investments by adding continuous behavioral analysis to your defense-in-depth strategy.

Have additional questions about Tundra's behavioral monitoring platform?

Contact our security experts
TUNDRA.SEC.458.93
TUNDRA.ARCH.V4
BEHAVIORAL.MONITORING
CONTINUOUS.TRUST
Continuous Trust Evaluation

Executive Confidence Starts Here

Download Technical Brief
"
"Tundra detected an insider threat that passed all traditional security checks. The system paid for itself in the first month of deployment."
— CISO, Fortune 100 Financial Institution
Continuous Trust
Behavior Analysis
Anomaly Detection