Forge, the platform from A37, provides a unified control plane that continuously captures and inventories all autonomous AI agents, internal copilots, model endpoints, and SaaS‑embedded automations across an enterprise. By aggregating identity, network, SaaS, and model‑gateway signals, it builds a live view of agents with ownership metadata, learns baseline behavior, and automatically recommends and enforces runtime security policies to prevent unauthorized actions and ensure regulatory compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying autonomous AI agents, internal copilots, and model endpoints lack visibility into agent behavior, making it difficult to detect unauthorized actions, data leaks, or compliance violations. Existing security tools often miss agent-specific activities, leading to unprotected actions across the organization.
Solution
Forge offers a unified control plane that continuously captures complete traces of all autonomous agents operating within an enterprise. By aggregating identity, network, SaaS, and model‑gateway signals, Forge builds a live inventory of agents linked to owners, credentials, and rollout state. The platform learns a baseline of normal agent behavior and automatically recommends runtime policy adjustments that are enforced in real time. It separates agent activity from human activity in log streams, surfaces shadow or newly introduced agents, and provides industry‑specific default controls to meet regulatory requirements. Administrators can monitor, audit, and govern agent actions through a single dashboard, ensuring compliance and reducing the risk of unintended or malicious behavior.
Target Audience
Primary customers are large enterprises that deploy autonomous AI agents, internal copilots, or model‑driven services—particularly in regulated sectors such as finance, where compliance and data protection are critical.
Features
- Unified inventory of coding agents, internal copilots, model endpoints, and SaaS‑embedded automations with ownership and credential metadata
- Continuous collection of identity, network, SaaS, and model‑gateway signals for comprehensive visibility
- Baseline behavior modeling and automated policy recommendation engine
- Runtime enforcement of security policies that isolate agent actions from human activity
- Real‑time detection and surfacing of shadow agents or first‑seen instances
- Industry‑specific default controls and compliance templates (e.g., finance regulations such as SR 11‑7, NYDFS Part 500, FINRA, DORA)
- Centralized dashboard for monitoring, auditing, and reporting on agent behavior across the enterprise