Beyond Identity has introduced Ceros, a public-preview platform designed to give enterprises identity, observability, policy enforcement, and audit controls for AI agents and their connected tools.
Beyond Identity has launched Ceros, a public-preview platform for enterprises that want identity, observability, and governance controls around AI agents and automated workflows.
According to a PR Newswire announcement from Beyond Identity, Ceros is designed as an “agentic AI trust layer” for organizations deploying autonomous or semi-autonomous AI agents. The company says the product focuses on giving enterprises a way to identify agents, monitor their actions, enforce policies at runtime, and maintain audit trails across agent activity.
Beyond Identity’s own product materials describe Ceros as sitting between AI agents and the services they access. In that position, the company says Ceros can help govern API calls, tool invocations, and requests made by agents as they interact with enterprise systems.
The launch reflects a practical concern for companies experimenting with agentic AI: once an AI system can take actions across multiple tools, the organization needs controls similar to those used for human and machine identities. Beyond Identity’s announcement positions Ceros around that problem, emphasizing identity, observability, and policy enforcement rather than model development.
Beyond Identity says Ceros includes hardware-bound identity for agents, full-stack observability, Model Context Protocol governance, runtime policy enforcement, audit trails, and orchestration controls. The company’s Ceros product page describes the platform as providing unified identity and governance for “every agent, tool, and action.”
The Model Context Protocol, often shortened to MCP, has become a common way for AI applications and agents to connect with external tools and data sources. Beyond Identity says Ceros includes MCP and tool discovery capabilities, suggesting that the platform is meant to help enterprises understand which tools agents can access and how those tools are being used.
The company also highlights policy enforcement at runtime. In practical terms, that means Ceros is being presented as a control point that can evaluate agent actions as they happen, rather than only logging them afterward. Beyond Identity’s resource page says Ceros can govern every API call, tool invocation, and request with identity, observability, and policy controls.
AI agents can differ from conventional chatbots because they may call tools, retrieve information, write to systems, or initiate workflows. That creates governance questions for security, compliance, and IT teams: which agent acted, which tool it used, what data it accessed, whether the action was authorized, and whether the event can be reconstructed later.
Beyond Identity’s announcement argues that enterprises need a consistent layer for those controls as agent deployments expand. The company’s framing is especially relevant for organizations that are testing multiple agent frameworks or connecting AI systems to internal applications, APIs, and data stores.
The sources do not provide independent customer metrics or third-party benchmarks for Ceros. They also do not establish how the platform compares technically with other identity, observability, or AI security products. For now, the most concrete claims are those made by Beyond Identity and its launch materials: Ceros is available in public preview and is intended to provide identity, monitoring, policy enforcement, auditability, and governance for AI agents and workflows.
Beyond Identity says Ceros is now open for public preview. The company is presenting the product as part of the infrastructure layer enterprises may need as they move from isolated AI experiments toward AI systems that can perform actions across connected services.
For technology leaders, the launch is another sign that the market around agentic AI is shifting beyond model access and application interfaces toward operational controls: who or what is acting, what the system is allowed to do, and how those actions can be observed and audited.
Beyond Identity has launched Ceros, a public preview platform for enterprises that want identity, observability, and governance controls around AI agents and automated workflows.
A trust layer for agentic AI According to a PR Newswire announcement from Beyond Identity, Ceros is designed as an “agentic AI trust layer” for organizations deploying autonomous or semi autonomous AI agents.
The company says the product focuses on giving enterprises a way to identify agents, monitor their actions, enforce policies at runtime, and maintain audit trails across agent activity.
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