API Fortress: Entwurf, Test und Absicherung von APIs gegen moderne Angriffsvektoren
Paperback
Publisher: Independently Published
Published: Jul 6 2026
Pages: 288
Weight: 0.77
Height: 0.72 Width: 6.00 Depth: 9.00
Language: German
APIs sind das Rückgrat moderner Software.
Sie verbinden Webanwendungen, Mobile Apps, Cloud-Systeme, KI-Plattformen und Unternehmensdienste miteinander. Doch unsichere APIs gehören heute zu den häufigsten Ursachen für Datenlecks, Angriffe und Produktionsausfälle.
Sicherheit darf deshalb nicht erst nachträglich ergänzt werden.
Sie muss von Anfang an Teil der Architektur sein.
API Fortress ist ein praxisorientierter Leitfaden für die Entwicklung sicherer, skalierbarer und produktionsreifer APIs mit FastAPI, Python und modernen Security-Engineering-Prinzipien.
Dieses Buch zeigt Schritt für Schritt, wie professionelle APIs entwickelt werden, die nicht nur schnell und leistungsfähig sind, sondern auch Angriffe abwehren, sensible Daten schützen und in realen Produktionsumgebungen zuverlässig funktionieren.
Warum API-Sicherheit heute entscheidend ist
Moderne APIs stehen permanent unter Druck:
Injection-Angriffe
fehlerhafte Authentifizierung
unsichere Konfigurationen
Datenlecks
fehlende Zugriffskontrollen
schlecht validierte Eingaben
unsichere Fehlerbehandlung
Schon kleine Sicherheitslücken können gro e Auswirkungen auf Unternehmen und Nutzer haben.
Deshalb benötigen moderne Entwicklungsteams sichere Standards, defensive Architektur und klare Security-Workflows.
Was Sie in diesem Buch lernen
Dieses Buch vermittelt Ihnen unter anderem:
sichere API-Architekturen mit FastAPI
Eingabevalidierung mit Pydantic
Authentifizierung und Autorisierung
JWT- und Token-basierte Sicherheit
sichere Fehlerbehandlung und Logging
Schutz vor Injection- und API-Angriffen
sichere Konfigurationsverwaltung
Health-Checks und Produktionssicherheit
Rate Limiting und Zugriffskontrolle
Sicherheits- und Deployment-Best-Practices
Praxisnahes Security Engineering
Dieses Buch konzentriert sich auf reale Produktionssysteme statt auf theoretische Sicherheitskonzepte.
Sie arbeiten mit modernen Technologien und Workflows wie:
FastAPI
Pydantic
PostgreSQL
Docker und Containerisierung
strukturierter Konfiguration
sicherem Exception Handling
CI/CD- und Observability-Workflows
produktionsreifem API-Deployment
Jedes Kapitel legt den Fokus auf Sicherheit, Wartbarkeit und Zuverlässigkeit.
Reale Einsatzbereiche
Die vorgestellten Konzepte eignen sich ideal für:
SaaS-Plattformen
Unternehmens-APIs
KI- und Cloud-Anwendungen
Finanz- und Zahlungsplattformen
interne Backend-Systeme
moderne Microservice-Architekturen
Für wen dieses Buch geeignet ist
Python-Entwickler
Backend-Engineers
API-Entwickler
Security-Engineers
DevOps-Teams
Software-Architekten
Wenn Sie sichere APIs entwickeln möchten, die modernen Bedrohungen standhalten und gleichzeitig skalierbar und wartbar bleiben, bietet dieses Buch den idealen Einstieg.
Schützen Sie Ihre APIs.
Verhindern Sie Sicherheitslücken.
Entwickeln Sie produktionsreife Systeme mit Vertrauen.
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Hardcover
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
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Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
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Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
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The Official Minecraft Team
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AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
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Jepson, Brian
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RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
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The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
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The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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Site Reliability Engineering: How Google Runs Production Systems
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Jones, Chris
Leng, Christof
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AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
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Kapoor, Sayash
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Artificial Intelligence All-In-One for Dummies
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Minnick, Chris
Mueller, John Paul
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The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
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Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
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The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
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Debois, Patrick
Kim, Gene
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The Return on AI: From Promise to Profit in the Age of Intelligent Business
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Mittal, Ashwin
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Minecraft: Roll for Adventure: The Temple of the Charged Creeper
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Forbeck, Marty
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Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Docter, Quentin
Buhagiar, Jon
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Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
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AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
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What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Wickham, Hadley
Grolemund, Garrett
Cetinkaya-Rundel, Mine
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More Human: How the Power of AI Can Transform the Way You Lead
Hougaard, Rasmus
Carter, Jacqueline
Hardcover
Evals for AI Engineers: Systematically Measuring and Improving AI Applications
Shankar, Shreya
Husain, Hamel
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Microsoft 365 Excel All-In-One for Dummies
Kusleika, Dick
Ringstrom, David H.
Alexander, Michael
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