Resources

Accelerate your backend development without sacrificing security. Get the practical guide to building and securing a FastAPI server using Python. Learn how to use this lightweight alternative to Flask to read API request data seamlessly. This whitepaper walks you through setting up a basic API using modern project management tools like uv, configuring environment variables securely with Pydantic Settings, and seamlessly integrating Auth0 to protect your endpoints. In this whitepaper, you'll learn: The basics of FastAPI and how to quickly set up public and private endpoints. How to manage Python dependencies and virtual environments using uv, a fast, Rust-based alternative to pipenv and poetry. Techniques for loading configuration securely using Pydantic Settings and environment variables. How to leverage the Auth0 FastAPI library, PyJWT, JWKS, and dependency injection to validate JSON Web Tokens (JWTs) and secure your endpoints.

When AI agents get "hands" to execute terminal commands and modify files, they require strict security guardrails. Download our developer's checklist for securing OpenClaw (formerly Moltbot). Learn the five critical steps for AI agent security, including how to configure execution sandboxes, enforce path and command allow-lists, defend against prompt injection attacks, and apply Fine-Grained Authorization (FGA) to limit an agent's blast radius. In this developer's checklist, you'll learn: How to sandbox autonomous agents (like OpenClaw) to limit their blast radius on your local machine. The importance of setting up explicit allow-lists for terminal commands, file paths, and network requests. Strategies for defending against prompt injection attacks and managing ephemeral credentials. How to configure audit logs and integrate identity access controls for production-ready AI agents.

Understand the building blocks of modern AI architecture with our technical guide to MCP vs A2A. Discover how Anthropic’s Model Context Protocol (MCP) gives individual agents secure, structured access to external tools and APIs, while Agent-to-Agent (A2A) communication allows multiple agents to collaborate, delegate tasks, and solve complex workflows in parallel. Learn how these complimentary protocols operate and when to leverage them. In this guide, you'll learn: How Anthropic’s Model Context Protocol (MCP) gives agents structured, safe access to external tools. The mechanics of Agent-to-Agent (A2A) communication for dynamic, multi-agent collaboration. How "Agent Cards" establish trust and capability sharing between client and remote service agents. The architectural differences between extending single-agent capabilities (MCP) and scaling multi-agent workflows (A2A).

Stop exposing access tokens in your Single-Page Applications (SPAs). Learn how to implement the Backend for Frontend (BFF) architectural pattern to radically enhance your OAuth 2.0 and OpenID Connect security. This whitepaper explains how to transition token negotiation and storage away from vulnerable public browser clients and into a secure, confidential backend proxy—keeping your APIs protected and JWTs safely out of the browser. In this whitepaper, you'll learn: The severe security risks associated with token storage in public clients like SPAs. How the Backend for Frontend (BFF) pattern shifts token management to a secure, confidential server. The complete BFF authentication flow, from OpenID Connect negotiation to proxying API requests. How to properly configure HttpOnly session cookies and prevent Cross-Site Request Forgery (CSRF) attacks.

Prevent sensitive data leakage in your generative AI applications. Download our whitepaper on implementing access control for Retrieval-Augmented Generation (RAG) systems. Learn how to apply Fine-Grained Authorization (FGA) using Okta FGA and OpenFGA to ensure your Large Language Models (LLMs) only retrieve context that the querying user is explicitly permitted to see. Build trustworthy AI architectures that respect strict enterprise security policies. In this whitepaper, you'll learn: The unique security challenges of exposing private data through LLMs and RAG pipelines. How Fine-Grained Authorization (FGA) works to prevent sensitive information disclosure. Step-by-step instructions for integrating Okta FGA and OpenFGA into your AI applications. How to securely test and query your RAG application with properly granted FGA permissions.

Struggling to choose between cookie-based and token-based authentication for your Single-Page Application (SPA)? Our latest guide breaks down the ASP.NET Core Identity dilemma. Dive deep into the new Identity API endpoints introduced in .NET 8, compare the security trade-offs of traditional cookies versus JSON Web Tokens (JWTs), and discover exactly when you need OpenID Connect and OAuth 2.0 to protect user sessions. In this whitepaper, you'll learn: The core architectural differences between cookie-based and token-based authentication. How to navigate and leverage the new Identity API endpoints introduced in .NET 8. The security tradeoffs when managing state and sessions in Single-Page Applications (SPAs). Exactly when to implement OpenID Connect (OIDC) and OAuth 2.0 for robust identity management.

Master backend web development with our comprehensive handbook on building RESTful APIs with Python and Flask. This step-by-step developer guide walks you through bootstrapping a lightweight Flask application, mapping data models with Python classes, and serializing objects using Marshmallow. Whether you need to containerize your backend with Docker or securely protect your Python API endpoints with Auth0, this guide provides the exact architecture you need to scale. In this handbook, you'll learn: How to bootstrap a lightweight, highly scalable Flask application from scratch. Techniques for mapping backend data models with Python classes. How to seamlessly serialize and deserialize objects using Marshmallow. Step-by-step instructions to containerize your API with Docker and secure it using Auth0.

Looking to safely integrate AI coding assistants into your workflow? Download our whitepaper on essential practices for securing AI-generated code. Learn how to mitigate vulnerabilities introduced by LLMs, implement robust input validation and sanitization, audit package dependencies, and integrate Static Application Security Testing (SAST). Discover how to protect your full-stack applications by writing strict security tests and properly reviewing AI-assisted outputs before they hit production. In this whitepaper, you'll learn: How to identify and mitigate security vulnerabilities introduced by AI coding tools. Techniques for robust input validation and sanitization using tools like Zod. Best practices for integrating SAST tools and auditing package dependencies. How to write comprehensive, automated security tests for AI-assisted code generation.

AI agents are taking over operational workflows but when a system breaks, engineering teams are the ones left trapped in the deployment trenches. This comic book tells that story the hard way. Through a fictional crisis, Authenticator: Guardian of Identity shows what breaks when identity isn’t built to handle the complexity of modern agentic workflows, and how to escape the nightmare of endless production delays. Read it to see: Why manual auth builds and brittle token flows lead straight to "Pilot Purgatory" What happens when sleep-deprived dev teams hit roadblock after roadblock en route to production How securing automated actors stops security errors and pacifies your most demanding end-users A simple way to unleash your application's superpowers and ship code faster

Build Seamless In-App Authentication Experiences with Auth0 Identity should be a conversion lever, not a source of friction. Embedded Login puts your applications in control of identity journeys, enabling seamless authentication experiences that live directly within web, mobile, and agentic applications. This solution brief explores how Auth0's Embedded Login helps organizations build conversion-optimized identity flows, reduce identity overhead and scale faster with expanded built-in security and dev tooling. Download the solution brief to learn how to build seamless in-app identity that converts.

Most healthcare organizations invested in a digital front door over the past five years, but ended up with five, eight, or more separate logins instead. Patients don't experience your brand; they experience fragmentation across portals, apps, and caregiver touchpoints, leading to digital abandonment, provider switching, and help desk chaos. Unified patient identity changes everything: retained patients generate $1,500 to $2,000 in annual revenue while reducing help desk volume by up to 25%, and it finally gives AI navigators the full patient context they need to act with accountability. Learn how leading healthcare organizations are solving the identity problem—not the portal problem.

Agentic AI is reshaping retail from inventory and sourcing to customer chatbots but it also introduces new insider risks. This executive brief shows how identity, centralized agent management, and human-in-the-loop controls protect your business while enabling faster, safer AI adoption. Download it to learn: Why identity must be the foundation of AI-agent security, and how centralized identity management reduces risk. How to apply least-privilege, governance, and auditability so agents only access what they need. Where to build human-in-the-loop checkpoints for critical workflows to prevent harmful automated actions.

Agentic AI can automate scheduling, billing, clinical documentation and more but it also introduces new privacy and insider risks. This executive brief shows how treating agents as identities, applying least-privilege principles, and building context-aware authorization enable healthcare organizations to unlock AI benefits without exposing sensitive data. Download it to learn: Practical lifecycle controls: onboarding, provisioning, attestations, discovery and deactivation for all agents How to find and manage shadow AI and maintain continuous monitoring Authorization patterns beyond RBAC

Your AI roadmap is moving from prototype to production, but your identity infrastructure cannot keep up. Instead of delivering new features, your developers are stuck repeating identity work that stalls releases. This whitepaper explains how to reduce identity overhead to ship AI-powered products faster. We cover: Why AI workloads change the build-versus-buy math for identity How reusable identity patterns eliminate custom engineering work and technical debt Five foundational identity capabilities your AI tools need before deployment How to extend features and integrations without rewriting core systems

The Developer’s Guide to Securing Multi-Agent Workloads As enterprises build AI agents across their ecosystems, the lack of a true agent identity has become the critical bottleneck to production deployment. This whitepaper introduces Agent as Principal, Auth0's framework for giving agents first-class, policy-governed identities that eliminate manual provisioning and unlock scalable agent orchestration.

AI agents are moving from experiments to production, but scaling them introduces massive identity debt. Engineering teams often face repetitive auth rework that stalls deployments, contributing to the 88% of AI projects that never exit the pilot phase. Download this guide for an identity architecture blueprint to scale AI agents across applications, APIs, and workflows. What you will learn: The four core identity challenges: User authentication, API access, asynchronous workflows, and fine-grained authorization. The identity framework for AI: A blueprint for scaling systems with a standardized identity architecture. How to overcome critical blockers: Solve delegated authority, centralize token management, implement asynchronous authorization, and apply fine-grained access controls for RAG. Download the guide to build a reliable identity architecture for your AI stack.

Your users expect seamless. Your stack needs secure. User trust is built (or lost) at login. If your identity setup creates friction, delays launches, or puts data at risk, it’s time to fix that. Modern CIAM helps you move faster, stay secure, and build digital experiences people actually want to use. The latest Auth0 guide helps you: Speed up product launches with identity that plugs right in Deliver smooth, privacy-first experiences that scale Stay online and performant, even when things get chaotic Free your team from custom auth logic that breaks under pressure Build trust where it counts: at the first click.

Simplify Auth. Ship faster. Engage better. No one enjoys building auth from scratch. It’s time-consuming, fragile, and usually the first thing users notice when it goes wrong. With CIAM from Auth0, you get what you need to launch quickly and make every interaction smoother. Our latest guide shows you how to: Use no-code and low-code CIAM to skip the boilerplate and move faster Create seamless sign-up and login from day one Unlock identity data to personalize without creeping out users Balance security, UX, and compliance without overengineering anything Let your product shine. Let CIAM handle the rest.

AI agents are transforming enterprise workflows, but legacy identity stacks can't keep up with machine-speed operations. For product and engineering teams racing to deploy AI, traditional auth creates friction, technical debt, and architectural bottlenecks that slow down innovation. Download this guide to explore a modern framework for managing agentic identity at scale—enabling your teams to build faster and ship AI capabilities without roadblocks. In this guide, you will learn: The Four Architectural Gaps: Why traditional stacks create friction and prevent seamless AI scaling. Where Legacy Auth Breaks: How human-centric protocols fail in an agent-driven, high-velocity ecosystem. The Blueprint for Agentic Identity: Four pillars for a modern foundation, including: • Binding agent sessions seamlessly to verified identities. • Managing credentials dynamically. • Applying smart, runtime access controls. • Implementing asynchronous, human-in-the-loop workflows. Download now to build a scalable, frictionless identity foundation for your AI initiatives.

The Retail AI Readiness Checklist Get AI into production faster and enable agents to take real action. AI agents are already acting across your retail stack. But is your infrastructure prepared to support them without slowing down development or requiring constant rework? Download this checklist to evaluate your setup, reduce integration friction, and ensure your systems are ready to let AI agents take real action on behalf of your customers and employees. What you'll assess: Agent Action & Ownership: Ensure clear visibility and attribute every agent action to a specific business intent. Frictionless Authentication: Standardize token and credential management to reduce rework and streamline deployments. Contextual Authorization: Define actions agents can take based on real-time context to unlock new workflows. Seamless Integration: Centralize your control plane to integrate AI platforms and APIs without custom workarounds.