Ferentin provides a zero‑trust service edge that sits between AI agents, large language models, and tool servers, authenticating, authorizing, and logging every request based on fine‑grained policies.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents and tool integrations can access databases, external APIs, and production systems without visibility, allowing prompt injection, data exfiltration, and misuse while traditional security stacks only see encrypted network traffic.
Solution
Ferentin inserts a zero‑trust service edge between AI clients and every LLM, agent, and MCP (tool) server. Each request is authenticated, authorized by fine‑grained policies, and logged before it reaches the target. The platform continuously evaluates runtime access, denying by default and enforcing policy rules on user, team, model, tool, data sensitivity, and context. All interactions are recorded in an observability plane that provides immutable audit trails, real‑time dashboards, and compliance reporting. Administrators manage identities, policies, and approvals through a unified console, with optional human‑in‑the‑loop gates for high‑risk actions.
Target Audience
Ferentin is aimed at enterprise security teams, IT administrators, and platform engineers responsible for governing AI agents, LLM usage, and tool integrations within regulated or data‑sensitive organizations.
Features
- Service Edge that intercepts every AI request for authentication, authorization, and logging before reaching LLMs or tools
- Policy engine with granular rules based on user, team, model, tool, time, and data sensitivity, supporting deny‑by‑default posture
- Unified inventory (AI Network) automatically discovers and catalogs all AI clients, LLM providers, and MCP servers with risk classification
- Pre‑built connectors for common tools (GitHub, Slack, Box, Salesforce, databases) governed by zero‑trust controls
- Real‑time traffic inspection to detect PII, secrets, and policy violations in request/response payloads
- Observability plane delivering immutable audit logs, searchable telemetry, cost analytics, and OTEL export to existing monitoring stacks
- Visual policy editor with simulation mode and human‑in‑the‑loop approval gates for high‑risk agent actions
- Support for both public managed edge and private VPC‑isolated edge deployments