🛡️ FraudGuard

Agentic Honeypot System for Scam Detection & Intelligence Extraction

FraudGuard is an agent-driven honeypot system that actively engages scam conversations, detects malicious intent, extracts intelligence, and reports verified scam data through a controlled callback mechanism.

Designed for predictability, safety, and control, even when AI components are involved.

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🚨 What Problem FraudGuard Solves

Scam communications today are adaptive, conversational, and resistant to static rules, often designed to extract sensitive information quickly.

FraudGuard flips the problem by:

• Engaging scammers instead of blocking them.
• Collecting intelligence without alerting the attacker.
• Terminating conversations safely.
• Reporting only verified results.

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🧠 How FraudGuard Works

The system follows a strict, linear flow to ensure safety and control.

graph TD
    A[Incoming Message] --> B[Decision Engine]
    B --> C[Agentic Engagement]
    C --> D[Intelligence Extraction]
    D --> E[Safe Termination]
    E --> F[Verified Callback]
    
    style A fill:#f9f,stroke:#333,stroke-width:2px
    style F fill:#9f9,stroke:#333,stroke-width:2px

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Each step is controlled, state-aware, and non-aggressive.

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🧩 Core Capabilities

Feature	Description
🧠 Intent Detection	Accurately identifies scam intent versus normal conversation.
🤖 Agent Responses	Generates human-like, context-aware replies to keep scammers engaged.
🔍 Passive Extraction	Silently captures intelligence (UPI, links, phone numbers).
🔁 State-Driven Flow	Strictly manages the conversation lifecycle.
📤 Verified Reporting	Triggers a single, verified callback upon conclusion.

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🏗️ Project Structure

Each module has one responsibility and operates independently.

FraudGuard/
├── contracts/      # Interface definitions
├── receiver/       # Input validation & normalization
├── decision/       # Scam detection & state transitions
├── aiagent/        # Controlled conversational agent
├── extraction/     # Intelligence extraction
├── callback/       # Final reporting
└── orchestrator/   # System control flow

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🔁 Execution Model

To ensure safety, FraudGuard enforces a strict execution model:

1. Every session exists in one runtime state.
2. Only one component controls flow at a time.
3. No module acts independently.
4. No uncontrolled loops.

Why? This prevents false positives, infinite engagement loops, and accidental exposure.

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🧪 Current Status

• System design completed
• Interfaces defined
• Implementation in progress

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🔒 Design Guarantee

FraudGuard is built on a "Safety First" architecture:

1. AI never controls the system.
2. Decisions are explicit.
3. Exits are safe.
4. Reporting happens exactly once.

"FraudGuard does not chase scammers. It controls them."