Name: AEGIS DLP. A Unified Endpoint Security Platform with Deep Learning-Based Threat Detection (en Inglés)
SKU: 67306205
Price: 55.49 USD
Availability: InStock
Author: Ayush Gupta

portada AEGIS DLP. A Unified Endpoint Security Platform with Deep Learning-Based Threat Detection (en Inglés)

AEGIS DLP. A Unified Endpoint Security Platform with Deep Learning-Based Threat Detection (en Inglés)

Formato

Libro Físico

Editorial

Eliva Press

Autor

Ayush Gupta

Año

2026

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

ISBN13

9789999339506

AEGIS DLP. A Unified Endpoint Security Platform with Deep Learning-Based Threat Detection (en Inglés)

Ayush Gupta (Autor) · Eliva Press · Tapa Blanda

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Reseña del libro "AEGIS DLP. A Unified Endpoint Security Platform with Deep Learning-Based Threat Detection (en Inglés)"

Modern cyberattacks rarely occur in isolation. A single phishing email can trigger a chain of events-network intrusion, malware deployment, sensitive data access, and ultimately data exfiltration or ransomware.

Aegis DLP presents a unified endpoint security platform that integrates multiple defensive capabilities into a single locally deployed system. The platform combines deep learning models, real-time monitoring, and an event-driven architecture to detect and correlate threats across multiple attack stages.

This book documents the design and engineering of a complete Data Loss Prevention platform featuring nine integrated security modules including phishing detection, network intrusion detection, sensitive data classification, ransomware-aware file monitoring, device control, malware analysis, and a central correlation engine.

Built using transformer models such as RoBERTa with LoRA fine-tuning, multi-dataset IDS training, and a real-time event bus architecture, the system demonstrates how modern AI techniques can enhance endpoint security while maintaining privacy through fully local execution.

Aegis DLP provides a practical blueprint for building intelligent security platforms and offers insights into the challenges of integrating machine learning, system architecture, and cybersecurity engineering into a single unified solution.