The Cybersecurity Trinity: Artificial Intelligence, Automation, and Active Cyber Defense - Image 1

£34.26

Apress The Cybersecurity Trinity: Artificial Intelligence, Automation, and Active Cyber Defense

Name: The Cybersecurity Trinity: Artificial Intelligence, Automation, and Active Cyber Defense
Brand: Apress
Price: 34.26 GBP
Availability: InStock

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£34 today · previous high £34 · all-time low £5

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 90 days • 90 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 90 days • 4 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £5-11 (70 days, 77.8%)

Price range: £5 - £34

Price levels: 4 price ranges over 90 days

Description

This book explores three crucial topics for cybersecurity professionals: artificial intelligence (AI), automation, and active cyber defense (ACD). The Cybersecurity Trinity will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into four sections, one addressing each underlying concept and the final section discussing integrating them to harness their full potential. With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them. Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure. Accelerating the defense is but one side of the equation. Defenders can also implement ACD methods to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations when implementing them. Security teams often treat AI, automation, and ACD as disparate solutions, addressing specific problems. However, there is much overlap, and security teams must develop a cohesive approach to realize the full potential. The last section combines these three concepts to form a comprehensive strategy. The resulting strategy will have AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. What You Will Learn: Understand the many uses of AI and ML and the concepts underpinning these technologies. Learn how to protect AI and ML systems by recognizing the vulnerabilities throughout their lifecycle. Integrate AI and ML-based systems to enhance cybersecurity. Develop security automation processes to enhance situation awareness, speed the time to respond, and increase the bandwidth of the limited security operations staff. Develop an ACD strategy to slow the attackers while minimizing legal and ethical concerns. Design a comprehensive strategy with AI as the foundation, incorporating automation to speed up defense and ACD to disrupt the attacker. Who This Book is for: The primary audience is cybersecurity professionals looking to improve their organization's security posture by leveraging AI and ML-based security tools and combining them into a comprehensive strategy incorporating automation and ACD. This target audience will have a cybersecurity background and an interest in AI and ML. Higher education would be a secondary audience.

Product Specifications

Brand: Apress
Format: paperback
ASIN: B0DDWWSKTW
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 13 December 2024
Listed Since: 22 August 2024

Barcode

No barcode data available

Apress The Cybersecurity Trinity: Artificial Intelligence, Automation, and Active Cyber Defense

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence in Cyber Security: Impact and Implications: Security Challenges, Technical and Ethical Issues, Forensic Investigative ... and Technologies for Security Applications)

Security Incidents & Response Against Cyber Attacks (EAI/Springer Innovations in Communication and Computing)

AI and Machine Learning for Network and Security Management (IEEE Press Series on Network and Service Management)

Illumination of Artificial Intelligence in Cybersecurity and Forensics: 109 (Lecture Notes on Data Engineering and Communications Technologies, 109)

Navigating the Intersection of Artificial Intelligence, Security, and Ethical Governance: Sentinels of Cyberspace (Advanced Sciences and Technologies for Security Applications)

Cybersecurity Strategy for the AI-Driven Era: Proven strategies and data-driven tactics to disrupt attacks and strengthen enterprise defenses

Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems: System Protection and Data Analysis: 12 ... Systems and Critical Infrastructures, 12)

Theoretical Cybersecurity: Principles and Advanced Concepts

Innovative Machine Learning Applications for Cryptography

Foundations of Cybersecurity, 2nd Edition: A Straightforward Introduction

Deep Learning Applications for Cyber Security (Advanced Sciences and Technologies for Security Applications)

National Cyber Summit (NCS) Research Track 2020: 1271 (Advances in Intelligent Systems and Computing, 1271)

Cybersecurity Applications and Artificial Intelligence

AI and the Boardroom: Insights into Governance, Strategy, and the Responsible Adoption of AI

Green Intrusion Detection Systems for IoT (Intelligent Data-Centric Systems)

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis (Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series)

Agentic AI Unleashed: A guide to designing, building, and deploying autonomous AI systems (English Edition)

Self-Learning AI in Healthcare: Agentic Systems for Smarter Medicine

Intelligent Methods for Cyber Warfare: 563 (Studies in Computational Intelligence, 563)

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

Artificial Intelligence and International Conflict in Cyberspace (Routledge Studies in Conflict, Security and Technology)

Machine Learning and Cognition in Enterprises: Business Intelligence Transformed

Applications for Artificial Intelligence and Digital Forensics in National Security (Advanced Sciences and Technologies for Security Applications)

Pro Azure Governance and Security: A Comprehensive Guide to Safeguarding Your Cloud Computing