Kite’s identity model becomes even more interesting when you look at how session identities work. These temporary identities let agents operate without exposing core keys, which reduces the chance of long-term damage if something goes wrong. It also gives users cleaner control because they can cut off a session instantly without affecting the agent’s main identity.
Programmable governance adds another layer of flexibility. Developers can decide exactly how an agent behaves, what rules it must follow, and how much autonomy it has. This keeps everything predictable even when agents are acting on their own. The chain is built so these rules are enforceable on-chain, not just suggestions coded into an app.
As agents begin to play a bigger role in financial systems, security becomes a major concern. Kite focuses on preventing misbehavior through strict permission settings and identity separation. A user can allow an agent to perform certain tasks but block it from crossing specific limits. If an agent tries something outside its boundaries, the system can stop it automatically.
Some risks are more subtle, like agents being tricked into actions through external manipulation. Session isolation and programmable limits help protect users here too. Even if an agent gets confused or targeted, it can’t access more than what the session identity permits.
Zero-knowledge verification strengthens the design further. It lets agents prove facts without revealing sensitive details, which helps maintain privacy in an environment where thousands of interactions happen continuously. The goal is to keep the network secure without slowing down the rapid pace of agent-driven activity.
