The Security Service Edge for AI
One platform to authenticate every identity, enforce every policy, route every request and audit every interaction across LLMs, Agents and MCP Tools.
Architecture
Five components, one platform
Every AI interaction in your organization flows through Ferentin. Here is how it works under the hood.
Management Plane
Configure & Monitor
Control Plane
Policy, Identity & Audit
Service Edge
Secure AI Gateway
Data Plane
Telemetry & Observability
Enterprise AI Registry
Discover & Govern
Management Plane
Configure & Monitor
Control Plane
Policy, Identity & Audit
Service Edge
Secure AI Gateway
Data Plane
Telemetry & Observability
Enterprise AI Registry
Discover and govern AI clients, LLMs and MCP servers
The secure gateway for every AI interaction
The Ferentin Service Edge sits between your AI clients and upstream services. Every request passes through it. Nothing reaches an LLM, MCP server or AI tool without being authenticated, authorized and logged. Deploy as a shared public edge or as a private edge running inside your own VPC for full network isolation.
Zero-Trust Access
Deny by default. Every request to every AI resource is blocked unless explicitly authorized by policy. No implicit trust, no exceptions, no bypasses.
LLM Routing
Policy-based provider selection with automatic failover, load balancing and data residency controls across Anthropic, OpenAI, Google, Azure and more.
MCP Gateway
Secure, governed access to MCP tool servers. Every tool call is authorized against fine-grained policies before execution.
Traffic Inspection
Real-time inspection of AI request and response payloads. Detect PII, secrets and policy violations before data leaves your boundary.
Public & Private Edges
Start with the Ferentin-managed public edge for fast deployment. For regulated workloads, deploy a private edge inside your own VPC. All traffic stays within your isolated network boundary with no data egress to shared infrastructure.
Centralized policy, identity and observability
The Control Plane is where security teams define who can access what, under which conditions and with what level of oversight. Policies are enforced in real time at the Service Edge.
Identity & Access
Enterprise SSO via Okta, Entra ID, Google Workspace and Ping Identity. Workload identity for agents and automated systems. SCIM provisioning and RBAC.
Policy Engine
Define granular rules for AI access by user, team, model, tool, time and data sensitivity. Evaluate every request against policy before it executes.
Observability & Audit
Complete telemetry for every AI interaction. Immutable audit trails, usage analytics, cost tracking and compliance reporting out of the box.
Human-in-the-Loop Reviews
Configure approval gates for high-risk agent actions. MCP elicitations surface risky behavior to designated reviewers with full context before execution proceeds.
A complete AI Systems Inventory for your organization
The Enterprise AI Registry provides a unified inventory of every AI system in your organization. Every AI client, LLM provider and MCP server flowing through the Service Edge is automatically cataloged with owner, purpose, risk tier and deployment status. Teams discover and connect to approved resources through a single pane of glass, with every connection secured by policy.
LLM Registry
MCP Registry
AI Client Registry
AI Systems Inventory
Automatic discovery and cataloging of all AI clients, LLM providers and MCP servers. Track owner, purpose, risk classification and deployment status for every AI system in one place.
Server Management
Register, version and manage MCP servers centrally. Define which teams can access which servers and under what conditions.
Pre-built Connectors
Out-of-the-box connectors for GitHub, Slack, Box, Salesforce, databases and more. Deploy in minutes with built-in governance.
Tool Discovery
Teams browse approved tools through a self-service catalog. No shadow MCP connections. Every tool is vetted, documented and policy-controlled.
One dashboard for your entire AI security posture
The Ferentin Console gives security teams, IT admins and platform engineers a unified view of all AI activity across the organization. Configure policies, investigate incidents and generate compliance reports from a single interface.
LLM Dashboard
Policy Editor
Security Dashboard
Real-time view of AI usage, policy enforcement, blocked requests and anomaly detection across all users, teams and agents.
Policy Editor
Visual policy builder with conditions, scoping and inheritance. Test policies in simulation mode before enforcing them in production.
Compliance Reports
Export audit logs, generate SOC 2 evidence and produce usage reports for internal governance and external auditors.
Telemetry and observability at scale
The Data Plane ingests, stores and exports telemetry from every AI interaction. Logs, traces and metrics flow from the Service Edge through configurable OTEL sinks to your existing observability stack.
Telemetry Ingestion
High-throughput ingestion of logs, traces and metrics from every Service Edge. Structured audit events are captured in real time with zero sampling.
Log Storage & Search
Indexed, searchable log storage for compliance and forensics. Query by user, model, tool, cost or policy decision across all tenants and edges.
Cost Analytics
Real-time cost tracking across providers, models and teams. Set budgets, detect anomalies and generate chargeback reports.
OTEL Export
Export telemetry to any OTEL-compatible backend — Datadog, Splunk, Grafana, S3 and more. Configure sinks per tenant through the OTEL Sink Registry.
Ready to secure your AI stack?
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