Leveraging AI for Cybersecurity: Implement AI Strategies to Address Security Challenges in Your Organization

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Enhance your understanding of AI techniques in cybersecurity and gain practical experience in their application to add value to your organization.

Key FeaturesGain insight into AI methodologies and their role within cybersecurityLearn to craft AI-integrated solutions in cybersecurityDevelop hands-on AI skills through practical exercises and code samplesThe purchase of the print or Kindle version includes a complimentary PDF eBookBook Description

Artificial intelligence provides data analytics techniques that allow us to efficiently identify patterns in extensive datasets. These techniques can be employed across a range of cybersecurity challenges, from user authentication and identifying various cyberattack types within computer networks to analyzing malicious software.

Authored by a machine learning specialist, this book guides you through the data analytics landscape in cybersecurity and illustrates how AI techniques can be integrated into your cybersecurity initiatives. The chapters offer detailed explanations of AI methodologies alongside tools for their implementation, covering the design and execution of AI solutions. You will explore numerous cybersecurity scenarios where AI techniques are applicable, along with exercises and code snippets that empower you to effectively tackle cybersecurity issues using AI. The book also highlights common challenges encountered in practical AI applications concerning cybersecurity and instructs you on how to address them.

By the end of this book, you will not only be able to identify the potential applications of AI techniques but also design and implement effective solutions utilizing these methods.

What you will learnIdentify AI as a robust tool for intelligence analysis of cybersecurity dataExamine all elements and the workflow of an AI solutionDiscover how to engineer an AI-driven solution for cybersecurityLearn to assess various AI-based cybersecurity strategiesEvaluate your AI solution and articulate its benefits to your organizationSteer clear of frequent pitfalls and challenges when incorporating AI solutionsWho this book is for

This book is intended for machine learning practitioners aiming to use their expertise to solve cybersecurity problems. Cybersecurity professionals interested in utilizing machine learning techniques will also find this book beneficial. A foundational understanding of machine learning concepts and basic proficiency in Python programming are essential to grasp the topics discussed in this book. Regardless of whether you are a student or an experienced practitioner, this book provides a unique and invaluable educational experience that will equip you to safeguard your network and data against the ever-evolving threat landscape.

Table of ContentsBig Data in CybersecurityAutomation in CybersecurityCybersecurity Data AnalyticsAI, Machine Learning, and Statistics – A TaxonomyAI Problems and MethodsWorkflow, Tools, and Libraries in AI ProjectsMalware and Network Intrusion Detection and AnalysisUser and Entity Behavior AnalysisFraud, Spam, and Phishing DetectionUser Authentication and Access ControlThreat IntelligenceAnomaly Detection in Industrial Control SystemsLarge Language Models and CybersecurityData Quality and Its Usage in the AI and LLM EraCorrelation, Causation, Bias, and VarianceEvaluation, Monitoring, and Feedback LoopLearning in a Changing and Adversarial EnvironmentPrivacy, Accountability, Explainability, and Trust – Responsible AISummary

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Publisher ‏ : ‎ Packt Publishing
Publication date ‏ : ‎ October 31, 2024
Language ‏ : ‎ English
Print length ‏ : ‎ 358 pages
ISBN-10 ‏ : ‎ 180512496X
ISBN-13 ‏ : ‎ 978-1805124962
Item Weight ‏ : ‎ 1.36 pounds
Dimensions ‏ : ‎ 7.5 x 0.81 x 9.25 inches
Best Sellers Rank: #54,988 in Books (See Top 100 in Books) #15 in Privacy & Online Safety #35 in Internet & Telecommunications #129 in Artificial Intelligence & Semantics
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