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Announcement Agent Identity & Intent AI Security Agent Experience

Introducing ReasonCode AI - Intelligence Platform for the Agentic Web

ReasonCode AI is the next generation platform for AI Agent Identity, Security, and Experience

ReasonCode Team

We’re excited to introduce ReasonCode AI, a comprehensive Agent Intelligence Platform designed to identify, secure, and optimize AI agent mediated interactions in the agentic web era.

Rapid adoption of Browser Use Agents and AI Agent powered tools are unlocking massive new opportunities in how consumers engage with digital services. But as with adoption of any new disruptive technology, we are seeing new risk and fraud vectors emerge across the digital ecosystem where malicious actors are co-opting the same technology for illicit purposes.

For businesses to proactively secure and manage fully Agentic or Human-AI agent interactions on their digital platforms, they must have the ability to carefully identify human and agent visitors, inspect actions, understand intent, and enforce appropriate controls on such visitor interactions based on appropriate policies.

Let us consider the example of online ticket scalping. During a high demand ticket sale event, users might deligate the task of purchasing tickets on their behalf to trusted AI agents. During the same time, malicious actions might deploy AI agents to scalp those tickets. Knowing the different between these Agents is critical to ensure a successful sale event.

At ReasonCode AI, we are building a comprehensive Agent Intelligence Platform that helps businesses get full visibily and control over visitor interactions by providing a suite of core capabilities around AI agent identification, intent classification & alignment, and policy enforcement. Our solution helps businesses in two key area:

  • Digital Security: Protect businesses from AI agent driven fraud and cyber risk
  • Business Enablement: Manage AI agent discovery, access, and intent to optimize user experience

Establishing trust in the Agentic Era with ReasonCode AI

ReasonCode AI Platform Overview

Digital Security

A key consideration for securing the agentic web is establishing digital identity and intent. The ability to differentiate between humans, authorized AI agents, and malicious AI agents during online interactions is critical for maintaining digital security. While emerging protocols like Web Bot Auth and SPIFFE are being established to manage AI agent identities, massive collaboration among different ecosystem participants will be required for their widespread adoption. Even then, malicious actors may choose to ignore them entirely and deploy AI agents cloaked as human users in order to get preferential treatment.

ReasonCode AI uses a muti-layered approach to establish digital identities and real-time intent alignment by combining insights across networks, devices, behavior, session intent, and cryptographic checks. As different human-AI agent based interaction design patterns emerge (e.g. Human In The Loop, Human Before The Loop, Fully Agentic, etc), our solution can deliver granular visibility and intelligence into such complex identities and intents.

In addition, our policy engine can be used to specify custom policies that can seamlessly ingest diverse risk signals and apply the appropriate contextual security policy (block, challenge, rate-limit, allow) ensuring a robust security posture across web and emering communication channels such as MCP and A2A.

Business Enablement

In the future, businesses will need to optimize for both human and AI Agent experience in order to stay competative. For example, for eCommerce websites - blocking an AI agent outright may result in lost sale, whereas carefully managing the AI agent’s experience could improve sales and accelerate growth.

We are seeing major techology and payment companies develop open protocols such as Agent Payments Protocol (AP2) and Agent Commerce Protocol (ACP) to acclerate agentic payment and commerce in a secure and interoperable manner. But as with security, business enablement requires improving the AI agents user experience by understand visitor identity and intent, applying optimal policies, and enforcing actions that lead to desired outcomes (sale, money transfer, etc).

Traditional user experience designed for humans can no longer handle agentic interactions, and ReasonCode AI offers businesses advanced reasoning and enforcement capabiliites to ensure their business are ready to survive and thrive in the agentic web era.