Prophaze
  • What is Prophaze AppSec Platform? How it works?
    • Performance
    • SSL Termination
    • Modes of Operation
  • Prophaze AppSec Best Practices
  • Application Onboarding
    • Account Creation
    • Deployment Models
      • Cloud
      • On-Premise
      • Kubernetes Deployment
    • Multi-Cloud Setup
  • DASHBOARD UI OVERVIEW
    • Dashboard
    • Traffic Analysis
    • API Security
    • Attack Analytics
    • DDOS Attacks
    • Rules Page
    • Bot Mitigation
    • Anomaly Detection
    • Reporting
    • Attack Types
    • Incidents
    • AppSec Toggle Mode
    • SSL Certificate
  • HTTP Support
    • Encoding Types
    • Protocol Validation
  • Protection Use Cases
    • HTTP Protocol Violation
    • Protocol Anomalies
    • Bot Detection
    • Injection Prevention
    • HTTP Request Smuggling
    • HTTP Response Splitting
    • XSS Prevention
    • LFI and RFI
    • Session Fixation
    • SQL Injection Prevention
    • Layer 7 Dos Attack Prevention
    • PHP Application Protection
  • Detection Techniques
    • Normalization
    • Negative Security Model
    • Signature and Rule Database
  • FAQ
    • Onboarding Process
    • Dashboard Terminology
    • Attack Section
    • Rule Set
    • Traffic 360: General Traffic Logs
    • ML Based Bot Mitigation
    • Generating Reports
    • Anomaly Detection
    • General
  • Software Updates
    • Release Notes v2.3.0
  • Release Notes v2.4.0
  • Release Notes v2.5.0
  • API Security Dashboard
    • API Security Features of Prophaze
    • API security scoring
    • Host-Based API Quality Score
    • How to Enable API Security and Dashboard
    • API Security Section
  • CVE
    • CVE-2024
    • CVE-2023
    • CVE-2022
    • CVE-2021
    • CVE-2020
    • CVE-2019
    • CVE-2018
    • CVE-2017
    • CVE-2012
    • CVE-2011
    • CVE-2009
    • CVE-2008
    • CVE-2001
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  1. FAQ

ML Based Bot Mitigation

What is bot protection?

Bot protection refers to security measures that aim to identify and differentiate between legitimate human users and automated bots. This helps prevent malicious bots from scraping data, launching denial-of-service attacks, or carrying out other harmful activities on your website.

What is ML Based Bot Mitigation?

This likely refers to bot mitigation using Machine Learning (ML). ML algorithms are trained on vast amounts of data to identify patterns of bot behavior. This allows the security solution to automatically detect and block bots with high accuracy, reducing the need for manual intervention.

What is the benefit of enabling Bot Protection?

By enabling Bot Protection, you can potentially improve website security, prevent fraudulent activities, and ensure a smoother user experience for legitimate visitors.

What is a Captcha challenge?

A Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is a challenge presented to users to distinguish them from bots. These challenges often involve identifying objects in images, solving simple math problems, or ticking a checkbox.

What are Allowed IPs?

This section allows you to specify a list of IP addresses that will bypass bot detection and be granted unrestricted access to your website. This can be useful for trusted bots or specific users who might trigger bot detection rules due to their activity patterns.

How does Prophaze handle new or evolving bot threats?

The effectiveness of the ML model relies on its ability to adapt to new bot tactics. Prophaze updates its models regularly based on observed bot behavior and threat intelligence feeds.

How does Prophaze Bot Protection integrate with other security measures within Prophaze?

Prophaze's bot protection might work in conjunction with other security features like WAF rules and anomaly detection to provide a layered defense against various threats.

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Last updated 9 months ago

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