For security teams

Secure every AI agent in your organisation.

ZYBE finds every AI agent on every endpoint, anywhere, shows what each one can reach, and stops the ones that shouldn't act.

Works with the agents your developers already use: Claude Code, Codex CLI, Cursor, Windsurf, Gemini CLI, GitHub Copilot.

The agentic endpoint is your new security boundary

Autonomous AI agents are now standard tools on developer machines. They read credentials, run commands and send data, and they install skills, extensions and packages that nobody reviewed. Your EDR does not see any of it. Attackers already do.

One sensor per endpoint. One console for the organisation.

The sensor reads the agents' own configuration, checks every tool call as it happens, and enforces your decisions on the endpoint. Names and hashes reach the console. Credential values and conversations never do.

Adopt AI agents without giving up control

See every agent. Expose every blind spot. Total visibility into the AI agents, MCP servers, skills, extensions and packages on every endpoint, the moment ZYBE is installed, with no install, with nothing for developers to register.

Know what every agent can touch. For each agent: the credentials it can read, the permissions it holds so it no longer asks, the servers and skills it can use, and a graph of every system one prompt injection could reach.

Know what is wrong. Rank it. Fix the cause. Sixty checks turn what the endpoints report into issues, grouped by cause and ranked by how many machines each one stands on. A score per endpoint and per agent, attack paths where issues combine, and the one fix that clears each.

Block in real time, on the endpoint. Prompt injections, credential theft and destructive commands are stopped before they run, inside the agent's own check. Block a server, skill or package with one click and every endpoint refuses it within ten seconds. Refuse a product and the laptop takes away its permission to run. Try to switch ZYBE off and that is a Critical finding.

Prove it to the auditor. Seven frameworks, EU AI Act to SOC 2, assessed from what the endpoints report rather than ticked by hand, exported as a dated PDF with the controls that need a human marked manual.

For the CISO: One picture of the estate

How many agents, what they can reach, what is wrong, whether it is getting better. Boards you can read at a glance and a report for the auditor.

For the security team: A queue you can work

Issues by cause with the fix beside each, threats with the session behind each, rules you can turn, containment in one click.

For developers: Nothing to register, nothing leaves

The sensor reads the agents' own configuration. Names and hashes reach the console. Credential values and conversations never do.

Millions of events become the few things worth acting on

Every agent on every endpoint throws off a constant stream of activity. ZYBE turns it into detections and issues, then groups the ones that share context into threats: the handful you fix here and now, not a feed you scroll.

Five things you work with in ZYBE

An endpoint is a machine where an AI agent runs. A laptop, a workstation or a build server. Open one and you see its agents, the credentials they can read and the places they can send data.

The inventory is everything the agents brought with them. Agents, MCP servers, skills, plugins, extensions, packages and models. Each one is listed the moment ZYBE is installed, and stays marked New until somebody approves it or blocks it.

An issue is something that is set up wrong. A credential an agent can read. A permission that lets it act without asking. A package with a known vulnerability. Nothing has happened yet, and every issue comes with its fix.

A threat is something that happened and needs you now. ZYBE checks every action an agent takes. Most are recorded as detections you can read later. When they add up, such as a credential that was used and then a call out to the network, you get one threat with the evidence and what to do.

An automation is a rule that acts for you. When this happens, and this is true, do that. Block a package that is being exploited. Email the owner about a critical issue. Send it to Slack or Jira. Five come built in and switched on, and you can build your own.

Sixty checks out of the box. Each with a fix.

Twenty-six detections raised from what agents do, thirty-four issues raised from how the estate is set up. Every one mapped to the compliance frameworks. Your own rules on top.

Issues that combine into an attack path are raised as one threat. Automations send any issue or threat to email, Slack, Jira or a webhook. An AI-BOM export lists every agent, server, skill and package for a supplier questionnaire.

Credential values and conversations never leave the endpoint

Credentials are reported by name, never by value. Each tool call is judged on the endpoint and only the verdict is sent. A gateway on every laptop reads what goes to the model too: a pasted key is stopped before it leaves, injected instructions are caught before the model acts, and the prompt still never comes to us. The sensor is signed, so the code that runs is the code that was reviewed.