19,99 €
inkl. MwSt.
Versandfertig in über 4 Wochen
10 °P sammeln
Andere Kunden interessierten sich auch für
![Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond]( "Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond")
Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond139,99 €![Case Studies in Secure Computing]( "Case Studies in Secure Computing")
Case Studies in Secure Computing173,99 €![Computer Security for the Home and Small Office]( "Computer Security for the Home and Small Office")
Computer Security for the Home and Small Office30,99 €![Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture]( "Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture")
Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture130,99 €![Complete Guide to CISM Certification]( "Complete Guide to CISM Certification")
Complete Guide to CISM Certification123,99 €![Surveillance or Security?: The Risks Posed by New Wiretapping Technologies]( "Surveillance or Security?: The Risks Posed by New Wiretapping Technologies")
Surveillance or Security?: The Risks Posed by New Wiretapping Technologies11,99 €![A History of Cyber Security Attacks]( "A History of Cyber Security Attacks")
A History of Cyber Security Attacks74,99 €
In a world where financial systems are under constant threat, AI-Powered Secure Software Engineering offers a practical, no-fluff guide to building software that not only performs-but protects. Drawing from years of real-world experience at the intersection of fintech, AI, and cybersecurity, Gbenga Akingbulere unpacks the principles, challenges, and strategic decisions behind secure software in high-stakes environments. This is not just a technical manual-it's a roadmap for engineers, DevOps teams, and fintech leaders who are serious about trust, resilience, and intelligent defense. Gbenga Akingbulere is a software engineer and cybersecurity specialist with deep expertise in designing AI-powered financial systems. Known for his hands-on approach and clarity of thought, Gbenga has led the development of fraud detection systems that scale, adapt, and secure critical platforms in real time. His work bridges the gap between engineering theory and operational impact, helping teams embed security as a core function-not an afterthought.