Kovrr Launches AI Interaction Data Fabric for Enhanced Security

Kovrr, a provider of AI and cyber risk, security, and governance solutions, has expanded its AI Security and Governance Platform with the introduction of the AI Interaction Data Fabric. This new component correlates signals across enterprise AI activities, providing full visibility and control.

The AI Interaction Data Fabric has already analyzed more than 10,000 triangulated findings across various enterprise environments, each invisible to any single source. The platform began with network telemetry, where the strain of AI traffic was first observed, and has since grown to include browser, endpoint, agent, cloud, large language model (LLM), identity, and data loss prevention (DLP) sources.

According to Gartner, 40% of enterprise applications are expected to feature task-specific AI agents by the end of 2026, up from less than 5% in 2025. As employees increasingly use shadow AI tools and enterprises deploy agents across their workflows, sensitive customer records and regulated financial data are being transmitted into external systems outside the organization’s control. Meanwhile, the wider web shows a significant shift towards agentic AI traffic. In June 2026, Cloudflare recorded automated requests crossing 57.4% of worldwide HTTP traffic, with human users falling to 42.6%. Agentic AI traffic grew by 7,851% year over year during the same period, according to HUMAN Security.

Kovrr’s new AI data fabric addresses the challenge of integrating multiple sources of AI activity into a unified view. The platform correlates signals to identify which AI interactions belong to the same sequence, reconstructing them into a complete account. This allows security teams to build an inventory of AI in use, monitor system behavior, enforce policies, and assess the exposure created by these interactions.

"Security teams have an abundance of AI telemetry but lack the means to understand the implications for their risk posture," said Yakir Golan, CEO and co-founder of Kovrr. "One console records an interaction, another holds the identity, and a third separately holds the content. Each reports an action that appears permitted, but none can establish the significance of that activity when considered together."

The AI Interaction Data Fabric Insight series documents examples where triangulated signals reveal risks that would otherwise remain invisible. For instance, a finance employee copied classified financial data into a consumer AI account, an action recorded by four separate tools as ordinary. However, when connected in the AI data fabric, the signals established a regulated-data exposure and prevented the content from being submitted.

Golan elaborated, "Illuminating these multi-layered exposures is the first step toward understanding how this new kind of risk behaves. Kovrr's AI Security and Governance Platform exists to provide enterprises with the essential insight, drawn from the systems they already run, ensuring potentially material risks are accounted for and mitigated."

The platform is designed to give security, risk, and compliance teams comprehensive visibility and intelligence to manage risk continuously and at scale. With Kovrr’s AI Interaction Data Fabric, enterprises can better understand and control the complex interactions involving AI, ensuring that sensitive data remains secure.