Sponsor: Auth0

Discover how Auth0's flexible identity platform helps state and local government agencies modernize digital services and build trust with residents. This solution brief highlights how agencies can empower their development teams to accelerate innovation and create secure, user-friendly access to applications.

Make your research a little easier. This guide has been created for developers, product owners, and engineering teams tasked with understanding Customer Identity and Access Management (CIAM) solutions.

No matter what stage of maturity your organization is in, this guide provides a comprehensive overview of key features and capabilities to consider.

Had enough authentication spaghetti? Simplify your authentication today:

Make access easy with passkeys and MFA. Implement Customer Identity lifecycle management. Take the pain out of compliance and auditing. Integrate with your chosen cloud solutions. Drive efficiency across your developer workflows. Learn how to do all this and more in our whitepaper.

AI agents aren’t just chatting anymore, they’re taking action across your stack. They’re calling APIs, making decisions, and accessing sensitive data. However, most IAM systems were never designed for non-human actors.

This whitepaper breaks down what GenAI changes about Identity and what security, product, and development teams must rethink to stay secure and scalable.

Download it to learn:

• Where traditional identity frameworks fall short for GenAI
• How to secure agents before, during, and after login
• Why human-in-the-loop approvals and fine-grained authorization matter

AI agents are moving from experiments to production, but most identity controls were built for humans. This whitepaper from AWS & Auth0 explains why non-human agents create a new identity layer and what it takes to secure them at scale.

Download it to learn:

• Why traditional IAM falls short for autonomous agents
• The four identity requirements for AI applications: agent authentication, token vaulting, asynchronous authorization, and fine-grained RAG
• How to design human-in-the-loop approvals for long-running agent tasks
• How Amazon Bedrock and Auth0 enable permission-aware, context-safe agents

Customers are encountering AI agents more often, but expectations are high and trust is fragile. This chapter shows where customers prefer AI vs. humans, which trust signals (clear labeling, human oversight, and opt-outs) build confidence, and the identity controls that keep interactions safe without adding friction.

Read it to learn:

• Where customers are comfortable with AI agents and when they prefer humans
• The trust signals that matter: Clear labeling, human oversight, and opt-outs
• How willingness to share data varies by context and user segment
• The identity controls that reduce risk: Agent authentication, secure token handling, asynchronous authorization, and fine-grained access for RAG

Sadly, there’s no time to take your time these days. By the time you’ve tweaked your wonderful new UX, someone else has snuck in and stolen your potential customers.

This guide will show how a CIAM platform can help you stay one step ahead:

• Clear, actionable strategies to help you build and scale your products faster
• Tips on how to streamline customer onboarding and improve the overall experience
• How Customer Identity can help you stay on top of security and compliance

Had enough authentication spaghetti? Simplify your authentication today:

Make access easy with passkeys and MFA. Implement Customer Identity lifecycle management. Take the pain out of compliance and auditing. Integrate with your chosen cloud solutions. Drive efficiency across your developer workflows. Learn how to do all this and more in our whitepaper.

AI agents aren’t just chatting anymore, they’re taking action across your stack. They’re calling APIs, making decisions, and accessing sensitive data. However, most IAM systems were never designed for non-human actors.

This whitepaper breaks down what GenAI changes about Identity and what security, product, and development teams must rethink to stay secure and scalable.

Download it to learn:

• Where traditional identity frameworks fall short for GenAI
• How to secure agents before, during, and after login
• Why human-in-the-loop approvals and fine-grained authorization matter

AI agents are moving from experiments to production, but most identity controls were built for humans. This whitepaper from AWS & Auth0 explains why non-human agents create a new identity layer and what it takes to secure them at scale.

Download it to learn:

• Why traditional IAM falls short for autonomous agents
• The four identity requirements for AI applications: agent authentication, token vaulting, asynchronous authorization, and fine-grained RAG
• How to design human-in-the-loop approvals for long-running agent tasks
• How Amazon Bedrock and Auth0 enable permission-aware, context-safe agents

Customers are encountering AI agents more often, but expectations are high and trust is fragile. This chapter shows where customers prefer AI vs. humans, which trust signals (clear labeling, human oversight, and opt-outs) build confidence, and the identity controls that keep interactions safe without adding friction.

Read it to learn:

• Where customers are comfortable with AI agents and when they prefer humans
• The trust signals that matter: Clear labeling, human oversight, and opt-outs
• How willingness to share data varies by context and user segment
• The identity controls that reduce risk: Agent authentication, secure token handling, asynchronous authorization, and fine-grained access for RAG

Sadly, there’s no time to take your time these days. By the time you’ve tweaked your wonderful new UX, someone else has snuck in and stolen your potential customers.

This guide will show how a CIAM platform can help you stay one step ahead:

• Clear, actionable strategies to help you build and scale your products faster
• Tips on how to streamline customer onboarding and improve the overall experience
• How Customer Identity can help you stay on top of security and compliance

Customers are encountering AI agents more often, but expectations are high and trust is fragile. This chapter shows where customers prefer AI vs. humans, which trust signals (clear labeling, human oversight, and opt-outs) build confidence, and the identity controls that keep interactions safe without adding friction.

Read it to learn:

• Where customers are comfortable with AI agents and when they prefer humans
• The trust signals that matter: Clear labeling, human oversight, and opt-outs
• How willingness to share data varies by context and user segment
• The identity controls that reduce risk: Agent authentication, secure token handling, asynchronous authorization, and fine-grained access for RAG

AI agents are moving from experiments to production, but most identity controls were built for humans. This whitepaper from AWS & Auth0 explains why non-human agents create a new identity layer and what it takes to secure them at scale.

Download it to learn:

• Why traditional IAM falls short for autonomous agents
• The four identity requirements for AI applications: agent authentication, token vaulting, asynchronous authorization, and fine-grained RAG
• How to design human-in-the-loop approvals for long-running agent tasks
• How Amazon Bedrock and Auth0 enable permission-aware, context-safe agents

AI agents aren’t just chatting anymore, they’re taking action across your stack. They’re calling APIs, making decisions, and accessing sensitive data. However, most IAM systems were never designed for non-human actors.

This whitepaper breaks down what GenAI changes about Identity and what security, product, and development teams must rethink to stay secure and scalable.

Download it to learn:

• Where traditional identity frameworks fall short for GenAI
• How to secure agents before, during, and after login
• Why human-in-the-loop approvals and fine-grained authorization matter