Level up your AI game with identity

It’s not news that artificial intelligence (AI) powers business transformation in the modern world.

For product and development teams, AI streamlines workflows, enhances functionality, and delivers personalized, user-friendly experiences faster and at scale. But to see AI opportunities, developers need to balance innovation with challenges like security and scalability.

One of the aspects driving those challenges is the complexity of authorization and authentication management. Understanding and managing identity becomes more complicated as companies scale and tech stacks grow. AI complicates things further as you also need to authenticate non-human users (e.g., AI agents). When your developers build new products, integrating AI into them may seem like a risk. An easy fix: a strong identity foundation.

Innovation challenge: Risk vs. opportunity

Business leaders and developers are sold on AI’s promise of innovation. Most C-suite executives say they plan to increase AI investments over the next three years, and almost two-thirds of US developers believe AI can improve their ability to meet increasing customer demands.

However, for many organizations, the perceived risks of AI technology may outweigh its value. Workflow integration, complicated security, and compliance requirements are among the key challenges preventing AI adoption. But building identity at a fundamental level can make a big impact, enabling your development team to build AI-powered apps and products more easily and more securely.

By aligning AI with identity, developers can turn AI from a risk into a powerful tool that helps enhance the quality, speed, and value of their deliverables. This might include:

• Optimizing pricing strategies through AI-driven analytics or managing inventory using real-time sales and order data in e-commerce.
• Smarter fraud prevention by monitoring transactions and analyzing payments in finance, with identity securing the AI platform driving those capabilities.

Bringing AI and identity together to drive value

AI models rely on secure access to data, systems, analytics, and databases. With identity management built into the foundation, you can help ensure that only authorized users, human or non-human, can access sensitive data. Aligning AI and identity by adopting a strong identity platform also enables you to:

• Improve the user experience by adjusting authentication controls dynamically, based on context.
• Make faster data-driven decisions using identity signals and data.
• Accelerate your time to market, but without risking exposure to security breaches, loss of trust, and compliance failures.

A shorter time to market can be an important competitive differentiator, and identity provides an intelligent foundation for: - Innovating faster: Gather data from disparate sources, such as client feedback, product usage, and support tickets, and use a machine learning analytics model and data science to surface insights quickly. Generative AI models can analyze this data and use natural language outputs to create summaries or recommend improvements. - Keeping up with changing compliance regulations: Use AI tools to embed automated compliance checks early in the development lifecycle to avoid time-consuming fixes. Identity can also help ensure large language models and AI tools interact with sensitive data within the defined permissions, reducing regulatory risk.

Developers and engineers constantly face time constraints. An AI-supported identity platform can take off the pressure by enabling them to offload authentication tasks. They can then divert their freed-up time to focus on higher-value work like strategic initiatives and new feature development rather than identity-related problems.

AI + identity = The future of development

The world of AI is changing extremely fast. The longer you wait to embrace the opportunity, the harder you’ll have to work to catch up. Shifting your approach to include identity management can provide a real advantage, significantly decreasing authentication headaches when you adopt AI.

However, incorporating a forward-thinking identity approach is difficult, especially if you’re trying to build it yourself or have a small team. From compliance requirements and complex data processing needs to advanced controls and integration challenges, an identity platform can help eliminate a lot of complicated steps.

A developer-first identity platform like Auth0 simplifies your developers' lives. With prebuilt tools like APIs, SDKs, customizable UI components, security integrations, and more, you can orchestrate and automate identity flows without additional support. With Auth0, you can save time and effort, limit costly mistakes, and build more secure apps your way.

Discover why identity and AI are perfect partners - Read the Whitepaper