Reco and Cyera integrate AI agent access risk ranking

By Sophie Lindqvist

Reco says its security platform has detected more than 1 million AI agents, with more than 280 app integrations and more than 1,000 detection controls. Reco and Cyera said their integration is available now.

It combines Cyera's data-classification labels with Reco's mapping of agent identities, permissions, application connections and activity. Together, the systems aim to show which AI agents can reach sensitive information, how their access was granted and which related systems could also be exposed.

The context matters because automated systems increasingly access the same business software used by employees. That leaves security teams responsible for tracking not only which agents exist, but also what data and workflows they can touch.

Zoe Hillenmeyer, chief operating officer at Reco, said: "As agents gain access to more business systems, security teams need to know what those agents can reach and which access represents the greatest risk."

Her point is practical: a list of agents and permissions does not by itself show how serious each access path may be. The partnership adds the missing question of what sits at the end of that path.

How do the two systems combine?

Under the arrangement, Cyera supplies context about sensitive data, while Reco supplies the map of the agent and its reach. Reco ingests Cyera's category labels into what it calls the Reco Graph.

The companies describe a four-step process:

• Cyera classifies data and assigns labels to material such as business intellectual property, financial information, health records and regulated data.
• Reco brings those labels into the Reco Graph alongside information about agent identities, permissions, application connections and activity.
• Reco then uses the data context to flag access routes where an agent's reach into sensitive systems may carry higher risk.
• Security teams can use that combined view to separate routine access from paths that may need faster remediation.

The combined output is meant to answer three linked questions: which agent can reach a given body of information, what granted it that reach, and which connected systems sit beyond it. The third question matters because an apparently narrow permission can form part of a wider chain.

Adding a sensitivity label changes the meaning of an access route. The combination turns agent reach into a risk signal tied to the data at the other end.

Why does risk ranking matter?

Reco and Cyera are addressing a problem created by the spread of AI agents across business software. As automated systems use more of the same tools, security teams need a consolidated view of agents, permissions and workflows.

The companies position the move as part of a broader shift in cybersecurity toward identity and access management for machine actors, such as agents and bots, as well as human users. Reco says companies deploying AI-driven assistants, bots and agents need to track permissions across applications, repositories and workflows.

According to Reco and Cyera, a single agent may be authorised to read files, update records, trigger workflow actions and move between business applications. Those linked actions create chains of access that are difficult to monitor without a consolidated view.

Large organisations often face extensive lists of permissions issues, the companies say, but not every case has the same business impact. Linking access rights to data sensitivity gives teams a way to rank which exposures to handle first.

An over-permissioned agent with access to low-sensitivity material may not raise the same level of concern as one connected to customer records, regulated information or business intellectual property. Under the partnership's model, the data determines how much urgency the agent's access deserves.

Ranking gives security teams a practical order for remediation. It avoids treating every over-permission as equally urgent.

What does each platform add?

Reco says its platform is designed to discover third-party applications, agents and permissions across organisations. Reco presents its figures — more than 280 app integrations, more than 1,000 detection controls and more than 1 million detected agents — as the scale of that discovery layer.

The Reco Graph follows four operational elements: agent identity, permissions, application connections and activity. Together, they describe both who or what holds access and how that access connects to the wider business.

Cyera positions itself as a security platform focused on visibility and control over data used by AI systems. In this partnership, its role is to identify where sensitive data resides so that agent access can be assessed against the importance of the underlying information.

Cyera's labels bring the sensitivity context into Reco's graph. Categories include business intellectual property, financial information, health records and regulated data.

Once labels and permissions meet inside the Reco Graph, Reco can flag the access paths that present greater risk. The join is what lets a security team distinguish a route to routine material from one that reaches regulated or commercially important data.

Reco maps the agent. Cyera explains why the mapped path matters.

What does the live integration change?

Reco and Cyera say the integration is available now. The immediate change is a joined view of data sensitivity, agent access and agent activity, rather than separate tools for classifying data and reviewing permissions.

Hillenmeyer said: "By combining Cyera's data sensitivity context with Reco's view of agent identities, permissions, connections and activity, customers can identify the access paths that matter most and remediate them with much greater precision."

That claim puts a measurement test on the partnership: whether security teams can move from a long permissions list to faster, more targeted remediation. The announcement provides platform-scale figures, but it does not report customer results such as remediation time or exposure reduction.

The partnership now has to show whether its joined view can make remediation faster and more precise in live enterprise environments. That is the standard Hillenmeyer set when she described the aim as identifying the access paths that matter most.