SecScanAI

Enterprise Security Intelligence Platform

Identity-First Security Analytics with C++ native performance and embedded intelligence models. Advanced behavioral AI with attack chain and kill chain analysis.

🧠 Core Technology

Mathematical Security Properties

C++ native model with embedded intelligence - no external runtime dependencies or interpreter overhead

Attack Chain & Kill Chain Analysis

Advanced behavioral detection that analyzes complete attack sequences and MITRE ATT&CK techniques

Embedded Intelligence Models

Self-contained DLL with integrated AI models - no external files, libraries, or cloud dependencies

Deploy Once, Monitor Forever

Set-and-forget architecture with embedded learning capabilities and zero maintenance requirements

⚡ Performance Excellence

Minimal Installation Footprint

Compact deployment package optimized for enterprise environments

<1% CPU Usage During Operation

Highly optimized processing that doesn't impact system performance

Minimal RAM Requirements

Memory-efficient design suitable for standard enterprise hardware

Sub-Second Response Time

Real-time threat classification with immediate analysis results

Legacy Hardware Compatible

Works efficiently on existing enterprise infrastructure

🛡️ Advanced Protection

Supply Chain Protection

Immune to vendor compromise through independent security architecture

Living-off-the-Land Defense

Detects attacks using legitimate tools and system utilities

Zero-Trust Architecture

Assumes breach and validates every security event independently

Advanced Persistent Threat Detection

Behavioral patterns remain detectable regardless of encryption or packing techniques

🔐 Data Sovereignty

Complete Privacy

Zero telemetry collection - all data remains within your organization

Local Processing

All intelligence processing occurs on-device without external communication

No External Dependencies

Self-contained system with embedded intelligence models

Sovereign Security Requirements

Suitable for organizations with strict data sovereignty requirements

🏢 Enterprise Features

Autonomous Operation

Self-managing system with embedded intelligence - operates without security analyst intervention

No External Library Dependencies

Native implementation with zero runtime dependencies - complete independence from TensorFlow, PyTorch, or any ML frameworks*

Advanced Learning Engine

Embedded behavioral learning with optional cloud enhancement for complex attack pattern analysis

GDPR/HIPAA Compliant by Design

Built-in compliance features with complete audit trail and data sovereignty controls

🚨 Industry Transformation

No Signatures to Update

Behavioral intelligence eliminates the need for signature databases

No Cloud to Compromise

Complete local processing ensures no external attack surface

No Kernel Dependencies

Application-layer monitoring avoids kernel-level vulnerabilities

No Backdoors Possible

Transparent architecture with complete organizational control

No Threats Can Hide

Advanced behavioral analysis detects even sophisticated attacks

*Technical Note: The browser-based scanner demonstration on our website uses TensorFlow.js purely for demonstration purposes.
The production SecScanAI platform operates with completely native code and zero external dependencies.