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BOT MANAGER

Stop bots. Never block humans.

Machine learning detection that classifies every request in under 5ms. Behavioral analysis, device fingerprinting, and credential stuffing defense — all without a single CAPTCHA.

ML DetectionReal-time classification of every request
No CAPTCHAsInvisible protection, zero user friction
Behavioral AnalysisMouse, keyboard, and touch patterns
FingerprintingDevice and browser identification
Detection rate99.7%
False positives< 0.01%
Latency added< 5ms
Bots blocked2M+/day
10B+Requests analyzed monthly
99.7%Detection accuracy
< 5msAdded latency
0CAPTCHAs shown
LIVE SIMULATION

See bot detection in action

This simulation shows how our ML engine analyzes incoming traffic in real-time. Each request is scored and classified — bots are blocked instantly while legitimate users pass through without friction.

Netvolo Bot Manager — Traffic Analysis
LIVE
INSPECTINGGET/api/prices?page=14745.33.32.156python-requests/2.28.1SCRAPING BOT
NETWORK FINGERPRINT
Source IP···
ASN···
TLS JA3···
Header Order···
Geo / RTT···
BEHAVIORAL ANALYSIS
Mouse Entropy···
Keystroke σ···
Scroll Pattern···
Touch / Pointer···
ML ENSEMBLE
XGBoost
···
Neural Net
···
LSTM Seq
···
Isolation F.
···
Ensemble···
Confidence···
Features···
Inference···
TRAFFIC LOG
0 Incoming0 Blocked0 Allowed
DETECTION PIPELINE

Four layers of intelligent analysis

Every request passes through our multi-stage ML pipeline before reaching your application. Each layer adds confidence to the classification.

LAYER 1
Network Analysis
IP reputation, ASN classification, TLS fingerprint, geo-consistency checks
LAYER 2
Request Inspection
Header analysis, rate patterns, session behavior, API abuse signatures
LAYER 3
ML Classification
Ensemble models score 200+ signals in real-time with < 2ms inference
LAYER 4
Behavioral Validation
Mouse dynamics, keystroke timing, scroll patterns, touch pressure
USE CASES

Built for every threat scenario

From e-commerce price scraping to API abuse, our bot manager adapts to your specific threat landscape.

E-commerce Protection

Prevent price scraping, inventory hoarding, and fake account creation. Protect checkout flows from automated attacks without adding friction to real buyers.

API Security

Rate-limit abuse, prevent data harvesting, and block automated enumeration attacks. Per-endpoint rules with granular control over bot behavior.

Account Security

Stop credential stuffing and account takeover attacks. Our ML models detect password spraying and brute force patterns before they succeed.

Ad Fraud Prevention

Identify and block click fraud, impression fraud, and attribution manipulation. Protect your marketing budget from automated bot traffic.

Content Protection

Stop content scraping, SEO spam, and unauthorized data aggregation. Detect headless browsers and automated tools accessing your content.

Form & Comment Spam

Block automated form submissions, spam comments, and fake reviews without CAPTCHAs. Behavioral signals catch bots that mimic human interaction.

FEATURES

Enterprise-grade detection capabilities

Every tool you need to detect, classify, and respond to bot traffic at scale.

ML Ensemble Models

Multiple machine learning models run in parallel, analyzing 200+ signals per request. Continuously retrained on new attack patterns.

Behavioral Biometrics

Track mouse movements, scroll velocity, keystroke dynamics, and touch pressure to build behavioral profiles that bots cannot replicate.

Zero CAPTCHAs

No challenges, no friction, no accessibility barriers. Detection happens server-side in under 5ms. Legitimate users never know it's there.

Real-time Dashboard

Live traffic visualization, threat maps, bot classification breakdown, and historical analytics. Export data via API or webhook.

Custom Rules Engine

Define per-path, per-method, and per-IP rules. Set custom thresholds, allowlists, and response actions for different endpoints.

Threat Intelligence

Integrated feeds from 40+ threat intelligence sources. Known bot signatures, malicious IPs, and datacenter ranges updated every 5 minutes.

TECHNOLOGY

How our ML engine works

Our detection engine combines supervised and unsupervised machine learning with real-time behavioral analysis. Models are trained on billions of requests and continuously updated as attack patterns evolve.

Unlike rule-based systems that rely on static signatures, our ML approach adapts to new bot techniques automatically. When a new evasion method appears in our network, the model learns from it within hours — not weeks.

Ensemble of gradient-boosted trees and neural networks
200+ features extracted per request in < 2ms
Continuous online learning from live traffic
Cross-customer threat sharing (anonymized)
Automatic model retraining every 6 hours
Explainable scores — see why each request was flagged
ML Modelsv4.2
Features/req200+
Inference time< 2ms
Retrain cycle6h
COMPARISON

Netvolo Bot Manager vs alternatives

FeatureNetvoloCAPTCHA-basedRule-based WAF
ML behavioral detection
Zero user friction
Credential stuffing defensePartial
< 5ms latency
Device fingerprinting
Continuous model updatesManual
Per-endpoint custom rules
Real-time analyticsBasicBasic
API protectionPartial
ADA/WCAG accessible
INTEGRATION

Deployed in under 30 minutes

No code changes required. Toggle bot protection on from your Netvolo dashboard, or point your DNS and we handle the rest.

1
Point your DNS
Update your CNAME or A record to route traffic through our edge network. No application changes needed.
2
Configure rules
Set detection sensitivity, define allowlists, and choose response actions per endpoint from the dashboard.
3
Monitor & tune
Watch real-time traffic classification. Adjust thresholds based on your application's false positive tolerance.
4
Scale confidently
Our edge network handles any traffic volume. Bot rules scale automatically with your growth.
GET STARTED

Ready to eliminate bot traffic?

Our security team will analyze your current traffic, identify bot patterns, and configure detection rules tailored to your application — at no cost.

Free traffic analysis No commitment Deployed in 30 minutes