Run CyberElements on your AI environment. Free for 30 days.
Register your first AI agents, define their scope and watch the audit trail build from day one. No demo environment. No synthetic data. See what your agents are actually doing in real time.
Securing AI
Give every AI agent a badge, a boss and a boundary.
AI agents query databases, access files, trigger workflows and send data outside the organisation at non-human speed. CyberElements places a governance layer between every agent and every resource it touches, so access is approved before the connector fires, every action is logged and responsibility traces back to a named human identity.
Built on the same CyberElements platform that governs human access across defence, industrial & manufacturing, finance and critical infrastructure.
Challenges
AI turns trust into a moving target.
Traditional security aims at fixed users, known roles and familiar human patterns. AI agents change speed, direction and authority in seconds. A trusted agent can be compromised, a wrong instruction can execute and normal agent work can trip alarms built for humans.
Benefits
Govern what your AI agents do, before the regulator asks, and before the damage is done.
The same Zero Trust access model that governs your human workforce can now govern your non-human one. Every agent is scoped. Every action is traceable. Every deviation can be caught while the session is still active.
How It Works
The agent gets a task. CyberElements decides what it can reach.
CyberElements treats AI agents like governed non-human identities. Each agent is linked to a human owner, limited to approved connectors and monitored with controls built for agentic speed.
Step 1
Lock down every AI desktop.
Apply an approved configuration to the AI desktop installed on employee devices. Control which settings, agents and connectors are available before the first prompt is entered.
Step 2
Put AI traffic behind the Edge Gateway.
Bring the agentic AI infrastructure into the CyberElements Zero Trust architecture and place the MCP Proxy behind the Edge Gateway. Requests reach approved data sources through a controlled route, while the wider infrastructure stays hidden.
Step 3
Apply access policies to agents and connectors.
Define who can use each AI desktop, agent and MCP connector, under which device, context and time conditions. The same access model used for other protected resources now governs agentic AI.
Step 4
Give employees an approved route to company data.
Employees use the organisation’s chosen AI desktop and connect it only to the data sources made available to them. The experience stays familiar while the access behind it stays governed.
Step 5
Keep checking the device while AI is in use.
CyberElements continuously assesses the employee’s device against the access conditions defined for that AI use case. If the device falls out of policy, access can be paused or blocked.
Step 6
Trace every request back to a human identity.
Every request to every agent is logged, time-stamped and added to the CyberElements audit trail. The record shows what the agent was asked to do, which connector was used and which human initiated the request, even when the agent runs under a separate technical identity.
Industry Applications
Built for every sector where AI accountability is no longer optional.
AI risk changes by sector. The need stays the same: know which agents are active, what they can reach and who is responsible for what they do.
FAQs
What security and compliance teams ask before they govern AI agents with CyberElements.
Answers to the questions you will probably ask next. If yours is not here, visit our full FAQ page.
A non-human identity is the digital identity a software programme uses to authenticate and interact with another software programme. It may belong to an AI agent, copilot, automation workflow or MCP connector. Like human identities, NHIs can carry access rights and the software programme which uses them can take actions on systems and data. Unlike human identities, they move at machine speed and are rarely governed by existing IAM tools. CyberElements tracks which agent requests which other agent, to do what, and on behalf of which human user the non-human identity is acting.
No. CyberElements governs AI agents. It does not prohibit them. Approved agents are whitelisted and operate within a defined scope. Unapproved agents are made inaccessible, so they cannot connect to production systems. The outcome is governed AI capability, not a blanket restriction.
Every non-human identity is registered with a named authorising user. When the agent queries a database, accesses a file share or triggers a workflow, the action is attributed to that identity in the audit log. The chain of responsibility from the original instruction to the downstream action is maintained throughout.
Shadow AI refers to copilots, automation tools and AI connectors deployed by employees or third parties without IT or security awareness. CyberElements addresses it at the identity layer. Agents that are not registered and whitelisted cannot be accessed or operated on governed systems.
CyberElements probes are calibrated separately for human and agentic activity. Legitimate AI agent hyperactivity, such as high-volume and high-speed action, does not trip the system by default. Genuine deviations from the agent’s authorised behaviour pattern, such as unexpected data access, exfiltration patterns or anomalous action chaining, can trigger a targeted alert or automated block.
Yes. CyberElements assigns each AI agent an authorised operating zone covering the systems, datasets and MCP connectors it may reach. Any connection outside that scope is blocked at platform level, regardless of which non-human identity is used to access the agent.
Every action taken by a registered AI agent is logged, timestamped and attributed to the authorising human identity. The log covers which agent was called, details of the request and which data was accessed, which systems were touched, which workflows were triggered and in what sequence. The full record is available for regulatory reporting and internal governance without reconstruction after the fact.
CyberElements is live from the browser without infrastructure changes. Defining whitelists and configuring access scopes follows the same process as onboarding human users. Security teams can have governed AI agents operating under defined conditions within a working day.
They recognise CyberElements as a key European player in Identity and Access Management:
We didn’t write these reports. We just earned them.