Vectogate
by Vectogate
Centralized governance and security for autonomous AI agents
Vectogate is an AI governance and security platform that gives enterprises centralized control over autonomous AI agents—managing their access, enforcing policies, and logging every action. It's aimed at security and compliance leaders and launched in private beta in July 2026.
Vectogate is an AI governance and security platform, launched in private beta around July 9, 2026, that gives organizations centralized control over autonomous AI agents as those agents increasingly access sensitive data and internal business systems. It provides a unified dashboard spanning AI models, clouds, and tool servers, and uses a dual-layer approach: a "skill" layer that guides an agent's decisions before it executes a tool call, plus a downstream enforcement layer that acts as a safety net. The platform applies granular, role-, user-, and device-level access permissions on a default-deny, least-privilege basis and keeps complete logs of tool calls with context and session grouping for audit. It is offered both as SaaS and as an isolated on-premise installation, and was designed to help enterprises meet the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act. Led by CEO Josua Boos, Vectogate targets enterprises integrating AI agents into business-critical processes; the company frames AI agents as becoming core IT infrastructure, comparable to cloud services or mobile devices, that today's enterprises lack the controls to govern. It is currently available via early-access application, and funding and headquarters details have not been disclosed.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CIOs, CTOs, Security Teams
Key Features
- ✓Unified governance dashboard
Centralized oversight of AI agents across all AI models, clouds, and tool servers.
- ✓Dual-layer control
A skill layer guides agent decisions before tool execution, and an enforcement layer acts as a downstream safety net.
- ✓Least-privilege access
Granular default-deny permissions per role, user, and device for every AI agent.
- ✓Complete audit logging
Logs all tool calls with context and session grouping to show which agents accessed which systems and what they did.
Use Cases
- •Agent access control
Restrict which systems and data each autonomous AI agent can reach under least-privilege rules.
- •AI compliance and audit
Produce the logs and controls needed for NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
- •On-prem agent governance
Run the same governance in an isolated on-premise deployment for sensitive environments.
Ideal For
Best For
- ✓Governing autonomous AI agents' access to sensitive systems and data
- ✓Enforcing default-deny, least-privilege policies on AI agents
- ✓Meeting AI compliance requirements (NIST AI RMF, ISO/IEC 42001, EU AI Act)
Deployment
Market Analysis
Pros
- ✓Purpose-built for governing autonomous AI agents at the tool-call level
- ✓Maps directly to NIST, ISO/IEC 42001, and EU AI Act requirements
- ✓Offers isolated on-premise deployment for sensitive workloads
Cons
- ✗Only in private beta with early access as of July 2026
- ✗Company funding, size, and headquarters are undisclosed
Pricing
In private beta as of July 2026; organizations can apply for early access. Pricing has not been disclosed.
Sources
This page was written from 3 sources, 2 on domains other than vectogate.com.
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