LEVERAGING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: PREDICTIVE THREAT HUNTING IN CYBERSECURITY - Brossura

Radhakrishnan, Kanthavel; Ramakrishnan, Dhaya

 
9786208444730: LEVERAGING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: PREDICTIVE THREAT HUNTING IN CYBERSECURITY
Brossura
ISBN 10: 620844473X ISBN 13: 9786208444730
Casa editrice: LAP LAMBERT Academic Publishing, 2025

Sinossi

As cybersecurity threats continue to evolve in sophistication, velocity, and impact, the conventional reactive security approaches cannot keep up with them. In these cases, cyber attackers have employed more sophisticated strategies such as polymorphic malware, fileless attacks, and living-off-the-land techniques that do not depend on traditional detection methods. Anticipating this, predictive risk looking (more notably using artificial intelligence (AI) and machine learning) has emerged as a key technology in today’s cybersecurity strategies. Predictive risk finding allows security teams to proactively detect hidden risks, spot anomalies, and anticipate adversary behaviours before it results in a breach or device compromise. AI/ML approaches leverage behavioural analytics, large-scale telemetry data, and real-time learning to uncover overlooked patterns often missed by human analysts or rule-based architectures. In this article, we provide an exclusive overview of today’s cutting-edge AI and ML applications in predictive risk looking. We focus on core technologies, device architectures, algorithmic models, and industry specific implementations.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
620844473X
ISBN 13 
9786208444730
Rilegatura
Copertina flessibile
Numero di pagine
60
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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