SKU/Artículo: AMZ-B0G33R7ZQG
Secure Python Architecture : Implementing Zero-Trust Principles and Strict Input Validation for Hardened Codebases.
Format:
Kindle
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Fuera de stock
Fuera de stock
Peso con empaque:
0.15 kg
0.15 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- The era of trusting your network is over. It is time to stop trusting your code. Python has become the language of choice for modern backend development, celebrated for its speed, flexibility, and readability. But that same flexibility is often its greatest security liability. In a world of sophisticated cyber threats, supply chain attacks, and internal compromises, the traditional "Castle and Moat" security strategy, relying on firewalls and VPCs to protect soft application logic is no longer sufficient. Secure Python Architecture is not a book about basic vulnerability patching. It is a masterclass in structural defense. It challenges you to rethink how you design software by applying the philosophy of Zero Trust directly into your Python codebases. This comprehensive guide moves beyond the standard OWASP checklists to explore the architectural patterns that make applications mathematically resistant to failure and compromise. It operates on a single, unshakeable premise: The environment is hostile, the user is compromised, and the database is leaking. In this book, you will learn how to:Eliminate Implicit Trust: Replace hopeful if statements with rigorous Design by Contract principles, ensuring that functions reject bad data before it ever touches your business logic.Engineer Identity: Move beyond simple passwords to implement Session Binding, Contextual Authorization, and Argon2id credential hardening, ensuring that a stolen token is useless in the hands of an attacker.Build the Data Firewall: Implement Strict Input Validation using Pydantic and Envelope Encryption hierarchies to ensure that data is validated at the gate and cryptographically shredded upon deletion.Decouple Authorization: Replace "Spaghetti Security" logic with centralized Policy Engines (ABAC) that verify time, location, and device posture before granting access.Architect for Resilience: preventing cascading failures using Circuit Breakers, Bulkheads, and Execution Budgets to keep your platform alive even when dependencies die.Lock the Supply Chain: Secure your infrastructure by pinning Docker Artifacts, verifying Package Signatures, and detecting Configuration Drift in real-time.Written for senior developers, software architects, and security engineers, this book bridges the gap between high-level security theory and concrete, production-ready Python implementation. It provides the code, the patterns, and the mindset required to build systems that do not just function, but survive. Don't just write code that works. Write code that defends itself.
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