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Explainable AI | Multi-Modal Protection | Production-Ready

CYBIKHAN-AI: The Cognitive Firewall

Explainable Multi-Modal AI – Protecting Human Decisions, Not Just Devices.

CYBIKHAN-AI is an explainable multi-modal cognitive defense framework built directly into the user's browser. It combines four distinct AI threat-detection modules — Textual Guard (NLP), Visual Deception Engine (CV), Sonic Shield (Acoustic Forensics), and URL Lexical Scanner — into one unified orchestration engine. Unlike traditional firewalls that scan packets, CYBIKHAN-AI monitors what the user sees and hears in real-time, stopping human-centric attacks before they can manipulate.

CYBIKHAN-AI: The Cognitive Firewall

91%

Human-Centric Attacks Blocked

300%+

AI-Generated Threat Detection

< 3 sec

Response Time

24/7 Auto-Guard

Protection Mode

System Profile

Three-Tier Distributed Architecture

CYBIKHAN-AI operates on a highly optimized distributed architecture, keeping heavy AI processing off the user's local machine to ensure zero browser lag.

System Profile 1
1

Tier 1: Client (Chrome Extension)

React.js, Vite, Tailwind CSS, IndexedDB (Dexie) for local data storage

2

Tier 2: Middleware Bridge

Node.js + Express for heavy payload routing and threat telemetry logging

3

Tier 3: AI Engine

FastAPI (Python) running DistilBERT, YOLOv8, and Librosa inference models

Core Modules

The 4 Pillars of CYBIKHAN-AI

Textual Guard (NLP)

Powered by DistilBERT, reads webpage text and emails bidirectionally to detect psychological manipulation, urgency bias, and authority fraud.

Visual Deception Engine

Utilizes YOLOv8 and custom CNNs to detect brand impersonation, fake logos, and deceptive UI elements in real-time.

Sonic Shield (Acoustic Forensics)

Analyzes Mel-Spectrograms with Librosa to detect synthetic, non-biological voice resonance and deepfake audio.

URL Lexical Scanner

ML classifiers analyze domain entropy, typosquatting, and structural anomalies of webpage URLs in real-time.

Explainable AI (XAI)

Uses LIME and SHAP to interpret complex AI decisions into human-readable language with visual heatmaps.

Threat Fusion Engine

Cross-verifies multiple modalities against each other to stop multi-vector attacks with zero false positives.

Technical Deep-Dive

Core Technologies

Built with React.js and Tailwind CSS, the extension handles UI, data capture, and local storage using IndexedDB (Dexie).

Key Features

  • React.js with Vite for fast development
  • Tailwind CSS for responsive UI
  • IndexedDB (Dexie) for storing 50MB+ base64 telemetry data
  • Offscreen Document Pipeline for continuous audio monitoring

Specifications

Framework

React.js + Vite

Storage

IndexedDB (Dexie)

Cognitive Engine

Intelligent Cognitive Defense Engine

CYBIKHAN-AI combines four distinct AI threat-detection modules under one orchestration engine to stop multi-vector attacks before the user can be manipulated.

📝

Textual Guard (DistilBERT)

Reads webpage text and emails bidirectionally to detect urgency bias, authority fraud, and psychological manipulation.

NLPIntent DetectionPhishing Language
👁️

Visual Deception Engine (YOLOv8 + CNNs)

Analyzes browser screenshots in real-time to detect brand impersonation, fake logos, and deceptive UI elements.

Computer VisionFake Brand DetectionDark Patterns
🎤

Sonic Shield (Librosa + STT)

Dual-layer acoustic forensics — analyzes Mel-Spectrograms for deepfake detection and transcribes audio for credential-harvesting intent.

Acoustic ForensicsDeepfake DetectionVoice Analysis
🔗

URL Lexical Scanner

Machine Learning classifiers analyze domain entropy, typosquatting, and structural anomalies of webpage URLs in real-time.

URL AnalysisTyposquattingEntropy Detection
🧠

Explainable AI (LIME + SHAP)

Interprets complex matrix decisions into human-readable language with visual heatmaps on deceptive elements.

XAIVisual HeatmapsUser Education
🔄

Threat Fusion Engine

Cross-verifies modalities against each other (e.g., if voice is synthetic AND OTP request is detected, trigger alarm).

Multi-ModalZero False PositivesCross-Verification
Data Sheet

Technical Specifications

FrameworkReact.js + Vite + Tailwind CSS
StorageIndexedDB (Dexie) for offline capabilities
Audio PipelineOffscreen Document + Web Audio API
Browser SupportChrome, Edge, Firefox (soon)
Market Opportunity

Applications & Target Audience

Individual Users (Freemium)
Small & Medium Enterprises (SME)
Large Enterprises & Corporates
Government & Defense
Educational Institutions
E-commerce & Banking
Why Choose Us

The CYBIKHAN-AI Advantage

Aspect
Traditional Security
CYBIKHAN-AI
Detection Capability
Single Modality (One Threat at a Time)
Multi-Modal Fusion (4 AI Models Together)
Explainability
Black Box (Just Blocks the Site)
Explainable AI (Visual Heatmaps & Reasons)
Deepfake Protection
None or Limited
Real-Time Acoustic Forensics (Librosa)
Human-Centric Focus
Protects Devices Only
Protects Human Decisions & Perceptions
Response Time
Minutes to Hours
< 3 Seconds with Auto-Guard
Digital Literacy
No User Education
Educates Users with Visual Explanations
Innovation Showcase

Novel Technology & Features

Engineering Breakthrough

Offscreen Document Pipeline

Bypasses Chrome MV3 limits — keeps the defense active 24/7 by chunking audio into 10-second heartbeats.

AI Innovation

Threat Fusion Engine

Cross-verifies vision, text, and audio to stop multi-vector attacks with zero false positives.

User-Centric

Explainable AI (LIME + SHAP)

Translates complex AI decisions into human-readable explanations with visual heatmaps.

Product Imagery

Visual Reference

CYBIKHAN-AI Browser Extension Dashboard

CYBIKHAN-AI Browser Extension Dashboard

Explainable AI – Visual Heatmap Detection

Explainable AI – Visual Heatmap Detection

Multi-Modal Threat Detection Overview

Multi-Modal Threat Detection Overview

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