The Behavioral AI Engine is a continuously learning ML pipeline that analyzes every interaction on the Nexxus platform to detect anomalies, infiltrators, coordinated attacks, and account takeovers in real time. It combines six parallel analysis modules — login patterns, IP reputation, user-agent fingerprinting, activity timing, geographic anomaly detection, and risk scoring — to assign a 0–100 risk score to every request, taking automated action at configurable thresholds.
Model: Gradient Boosted Ensemble + LSTM |
Accuracy: 98.7% |
False Positive Rate: 0.3% |
Status: Active — continuous training
98.7%
Model Accuracy
0
Training Samples
2h 14m
Since Last Retrain
0.3%
False Positive Rate
⚙️ Analysis Modules
🔑
Login Pattern Analysis
Tracks inter-login intervals, keystroke dynamics, mouse movement signatures during login, and historical access window patterns. Deviations from established baselines increment the risk score proportionally to statistical distance.
Active — 847 sessions monitored
🌐
IP Address Tracking
Checks each IP against threat intelligence feeds, Tor exit node lists, known VPN egress ranges, and prior abuse history. Scores are weighted by reputation tier and geographic consistency with account history.
Active — 12 threat feeds integrated
🖥️
User Agent Fingerprinting
Parses and cross-validates User-Agent strings against TLS fingerprints (JA3/JA4), HTTP/2 settings frames, and WebGL renderer data. Inconsistencies between claimed browser and actual TLS behavior flag automated tooling.
Active — JA4 fingerprinting enabled
⏱️
Activity Timing Analysis
Measures inter-request timing entropy to distinguish human browsing patterns from automated scraping. Requests with inhuman regularity (variance < 50ms over 20+ requests) are flagged as bot activity regardless of valid credentials.
Active — microsecond resolution
🗺️
Geographic Anomaly Detection
Detects physically impossible travel (account login from London, then Tokyo 2 minutes later), suspicious country-hop sequences, and access from jurisdictions that have never been associated with the account's history.
Active — 195 country profiles
📊
Risk Score Aggregation
Fuses outputs from all five modules using a gradient-boosted ensemble model retrained every 2 hours on the latest access data. The resulting 0–100 score drives automated responses: pass (<50), step-up (50–79), block (80+).
Active — 98.7% accuracy
📊 Live Risk Score
LOW RISK — Access Allowed
Login Pattern Score8
IP Reputation Score5
UA Fingerprint Score12
Timing Entropy Score7
Geographic Score3
Aggregate Risk Score12
Score Thresholds
0 – 49
Low Risk — Pass
50 – 79
Elevated — Step-Up Auth
80 – 100
High Risk — Auto-Block
🎯 Detection Categories
👤
Account Takeover
Credential stuffing, session hijacking, password spray attacks against existing accounts
0
this week
🤝
Coordinated Attacks
Distributed botnet campaigns, synchronized login attempts across multiple IPs
0
this week
🎭
Social Engineering Attempts
Impersonation of staff, fake support interactions, pretexting behaviors detected
0
this week
🕵️
Infiltrators Identified
Long-term behavioral drift suggesting compromised or malicious insider accounts
0
this month
🔄
Credential Stuffing
Automated login attempts using breached credential lists from external dumps
0
this week
🍯 Honeypot Network
The honeypot network consists of convincing fake resources that no legitimate user should ever access. Any interaction is an immediate indicator of malicious intent — automated scanners, infiltrators, and attackers trigger these traps and are silently logged and blocked.
🔧
Fake Admin Pages
Realistic /admin/debug.php, /admin/users.php, and /admin/config pages that log all access attempts with full request forensics.
0 triggersLast: 3 min ago
👤
Decoy Accounts
100 dormant user accounts with plausible history. Any login attempt against these accounts is definitively malicious — flagged and quarantined instantly.
0 triggersLast: 47 min ago
🔗
Trap URLs
Hidden links in page source and robots.txt pointing to instrumented endpoints. Web scrapers and crawlers that follow these links are identified and blocked.
0 triggersLast: 12 min ago
🐦
Canary Tokens
Unique tokens embedded in sensitive documents and configurations. If a canary token fires, it indicates the document has been accessed outside authorized systems — immediate breach indicator.