Kovrr, founded in 2017 and headquartered in Tel Aviv, is a venture-funded, cash-flow-positive vendor that built its reputation in cyber risk quantification (CRQ) and has expanded into AI security and governance in response to customer demand. As enterprises adopt generative AI through SaaS AI features, desktop tools, LLM APIs, and increasingly agentic systems, the core governance problem is fragmented visibility: existing tools like DLP, CASB, DSPM, secure web gateways, and identity platforms each capture only partial signals, leaving organizations without a unified, governed view of AI interactions and data exposure. This challenge is amplified by “shadow AI,” sensitive data being pasted into public chatbots, and developers connecting agents to internal systems via MCP servers, all amid slow, multi-stakeholder buying cycles across security, risk, compliance, legal, data, and business teams.
Kovrr’s approach centers on its AI Interaction Data Fabric (AIDF), which correlates telemetry from multiple connector types (network, browser, endpoints, cloud, LLMs, identity, DLP, and an MCP agent broker) to triangulate AI activity across browsers, APIs, agents, and MCP servers. It pairs this fabric with native enforcement at two control points: a Chromium-based browser extension for user interactions and an MCP server broker for inspecting and controlling agent traffic. Early results cited include detection of sensitive financial data pasted into a personal ChatGPT account in under three seconds and a customer converting to a paid subscription within days. Pilots show near-universal acceptance of the browser extension (99.9% opt-in), while adoption of the MCP broker is split due to enterprise reluctance to route agent traffic. A key differentiator is Kovrr’s ability to quantify AI exposure in financial terms, enabling prioritization alongside broader cyber risk, though market perception still skews toward CRQ.
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