So why is identity important for artificial intelligence agents like Kite? Well identity is really important for these intelligence agents. Kite has a three layer identity system that helps intelligence agents. This three layer identity system is what makes Kite special. The three layer identity system is important for intelligence agents like Kite. Identity is the key to making intelligence agents, like Kite work properly. Kites three layer identity system is a part of that.
When I first started reading about AI agents that work on blockchains I had a question that I just could not stop thinking about. If an AI agent can do things on its own and make decisions and move money around then who is actually responsible for what the AI agent does?
In the cryptocurrency world this is easy to answer: a wallet is usually owned by a person or a company.
When you add AI agents to the mix it gets a lot more complicated.
The more I looked into this the more I understood that identity is an important thing for AI systems not just something extra. AI agents and their identity this is what I was trying to learn more, about and how AI agents and their identity work together. The foundation is really important because it makes everything else possible. The foundation is the base that supports everything. Without a good foundation nothing else will work properly. The foundation is what makes all the other things possible. It is very important to have a strong foundation.
AI agents are really different from the contracts or bots that we are used to. They do not just do what they are told to do one time. AI agents watch what is going on make decisions change what they do and then take action all the time. They might talk to lots of applications make transactions often and work with other AI agents without any help from people. If we do not have a system, for identifying AI agents it is hard to know who said it was okay to do something what the rules are and how we can trust AI agents. AI agents need an identity framework so we can understand what is going on with AI agents.
From my point of view identity for Artificial Intelligence agents is not really about what they're called or what they have done. It is more about being responsible for what they do. When something is, on a blockchain it is there forever. You cannot erase it. If an Artificial Intelligence agent does something or does something that is not expected the system needs to be able to find out where that action came from. If Artificial Intelligence agents do not have identity being able to do things on their own can quickly become very confusing and difficult to manage.
This is where Kites three-layer identity system really stood out to me. Kite does not think of identity as one thing. Kite breaks down identity into three parts: the user, the agent and the session. At first I thought this was going to be too complicated. But the more I thought about Kites three-layer identity system the more it made sense to me. It is a way to show how people are responsible for different things, in real life and Kites three-layer identity system does that.
The first layer is the user. This is the person or organization that's behind everything. This layer is important because it helps us remember that someone is responsible for what's happening. It does not matter how advanced the Artificial Intelligence agent becomes. The Artificial Intelligence agent does not exist all by itself. Someone made the Artificial Intelligence agent someone set it up. Someone benefits from what the Artificial Intelligence agent does. For me the user layer is very important. This is because it makes sure that the Artificial Intelligence agent is not completely on its own. The user layer makes sure that someone is always accountable for what the Artificial Intelligence agent's doing. The system always knows who is ultimately, behind the actions of the Artificial Intelligence agent.
The second layer is the agent. This is where things start to get really interesting. The AI agent has its identity. This is what Kite does. It separates what the AI agent does from what the user does. This makes a lot of sense when you think about it. The AI agent might do things like trade or pay for things. It might also work with AI agents to get things done. If you had to track all of that under the users name it would be very messy and confusing. The AI agent would be doing all these things and the user would be doing their things so it is better to keep them separate. The network can clearly see what the agent is doing when the agent has its identity. This way the network does not get confused between what the agent's doing and what the user is doing. The agent and the user are separate so the network knows what actions belong to the agent and what actions belong to the user. This makes it easier for the network to understand what the agent is doing.
What really got me to see the value, in this is how it makes things more transparent. When an agent talks to another system that system does not just see some address that does not tell you anything. It sees the agent doing something within a role that the agent has. This makes it easier for systems to talk to each other automatically. It is easier to understand what is going on with these automated interactions. The. The interactions it has become more predictable because the agent is acting in a defined role. This is really helpful when the agent interacts with systems.
The third layer, the session is really helpful to me as a user. The session layer is about context. It helps figure out things like when an agent can do something how long it can keep doing it. What rules it has to follow. Sessions do not give an agent permission to do things all the time. The session layer gives the agent permission to do things for a time and only, for a specific reason. When the session is over the agent is no longer allowed to do those things. The session and the rules that come with it are what make this work. The session is what keeps the agent in check.
From my point of view this is what makes Artificial Intelligence autonomy feel manageable, than risky. I do not have to trust an Artificial Intelligence agent. I only have to trust an Artificial Intelligence agent within the boundaries I set. If I want to pause or change the behavior of an Artificial Intelligence agent I can do so by controlling the sessions of an Artificial Intelligence agent than dismantling the entire Artificial Intelligence setup.
I really like that this layered identity model helps with learning and trying things. The artificial intelligence agents will get better over time. The artificial intelligence agents will become more capable and complicated. Having these clear identity layers makes it easier to try things without putting everything in danger. An artificial intelligence agent can be tested in sessions before the artificial intelligence agent is trusted with more important jobs.
For people like me who're not good with technology this way is also easier to think about. I do not need to know all the details of how something like Kite works on the inside. I just need to know who is in charge of Kite what Kite is allowed to do and when Kite can do it. The way Kite is set up to show who it is and what it can do makes sense. Answers those questions, about Kite.
I think this is a step that needs to happen for more people to start using this technology. When artificial intelligence agents begin to handle money and business people in charge users and other parties involved will all want to know what is going on. The artificial intelligence systems that cannot say who did something and why they did it will have a time getting people to trust them. Having an identity is not just something that is needed for the technology to work. It is also something that is needed for people to feel comfortable with the technology. Identity is a requirement, for artificial intelligence systems.
Looking ahead I do not think that identity for Artificial Intelligence agents will remain something we can choose to have or not. It is going to be something that people expect to see all the time like how we use wallets and signatures. The way Kite does identity with three layers seems like a start, to solving a problem that Artificial Intelligence agents are going to have to deal with more and more.
From my point of view Kite does a job with balance. Kite does not try to remove humans from the system. Kite does not overwhelm the autonomy of Artificial Intelligence, with constant checking. Instead Kite creates a system where the autonomy of Artificial Intelligence works within rules that everyone must follow. Identity is the thing that keeps everything working together properly for Kite.
In a future where AI agents are everywhere on-chain, identity won’t be about knowing who someone is. It will be about knowing who is acting, under whose authority, and for how long. That clarity is what will make autonomous systems usable, understandable, and ultimately trustworthy.
By Dr_MD_07
