Outerlimit: Funding, Valuation and AI Security Profile
Outerlimit is a cybersecurity startup building a decentralized security and authorization layer for AI agents. Its platform extends Zero Trust principles to the moment an agent uses a tool, connects to a system or performs an action. By linking identity, permissions and execution context, Outerlimit aims to help enterprises deploy autonomous AI while maintaining control over what those agents can do.
Visit Official Website ↗Basic Information
| Field | Details |
|---|---|
| Company Name | Outerlimit |
| Official Website | outerlimit.com |
| Location | London, United Kingdom, and New York, United States |
| Industry | Cybersecurity, AI security, identity and authorization infrastructure |
| Founders | Tony Pepper, Neil Larkins and Dr Peter Vincent |
| CEO | Tony Pepper |
| CTO | Dr Peter Vincent |
| COO | Neil Larkins |
| Core Focus | Security, authorization and runtime controls for autonomous AI agents |
| Funding Stage | Pre-seed |
| Latest Funding Round | $16 million pre-seed announced September 22, 2026 |
| Total Disclosed Funding | $16 million |
| Investors | AlbionVC, Evolution Equity Partners and Crane Venture Partners, alongside strategic angel investors |
| Valuation | Not publicly disclosed |
What Outerlimit Does
Secures AI Agent Actions
Outerlimit is designed to control what an AI agent can do when it interacts with business systems, APIs and other tools. Rather than relying only on broad access permissions, it focuses on authorization at the moment an action is executed.
Extends Zero Trust to Agents
Traditional security controls often focus on identity and access to resources. Outerlimit aims to extend this model by evaluating identity, policy and execution context together before allowing an agent action.
Supports Enterprise AI Adoption
As organizations give agents access to sensitive data and operational tools, they need ways to observe agent activity and prevent unauthorized actions. Outerlimit is building infrastructure to address these requirements.
Key Products and Capabilities
Decentralized Authorization
Outerlimit’s architecture is designed to distribute security and authorization functions across the agent ecosystem instead of relying on a single central store of credentials and secrets.
Execution-Time Enforcement
The platform aims to verify the required identity, policy and execution context when a tool is invoked. An action can then be evaluated against the relevant permissions before it proceeds.
Agent Discovery
Outerlimit helps organizations discover AI agents, connected tools, Model Context Protocol servers and potential shadow AI activity across their environments.
Runtime Observability
The platform is designed to provide visibility into agent behavior and preserve the integrity of multi-step action chains. This helps security teams understand how agents interact with enterprise systems.
Policy Enforcement
Organizations can define controls for agent actions and move toward deterministic enforcement. The goal is to prevent actions that violate established authorization rules.
Agent and Platform Agnostic
Outerlimit describes its runtime controls as agent and platform agnostic, aiming to support different agent frameworks and enterprise systems rather than lock customers into one AI platform.
How Outerlimit Approaches AI Security
Identity, Policy and Action
Outerlimit aims to bind an agent’s identity, authorization rules and requested action into a single security decision at execution time.
Reduced Credential Exposure
The company describes an architecture in which credentials and cryptographic material are not held in one central location. The design aims to reconstruct what is needed only when the required conditions have been verified.
Multi-Step Action Integrity
AI agents can perform sequences of actions across several tools. Outerlimit aims to preserve visibility into these chains so organizations can reason about agent activity beyond a single request.
Discovery Before Enforcement
Organizations can begin by identifying their agents and tools, then observe activity and understand existing behavior before moving toward stronger runtime controls.
Enterprise Deployment Options
Outerlimit describes an architecture intended for enterprise environments, including in-tenant virtual appliances and on-premises deployments for organizations with specific infrastructure and security requirements.
Policy Management
The company also describes AI-based policy management designed to help organizations optimize rules as agent activity and operational needs evolve.
Outerlimit at a Glance
Funding Raised
Pre-seed funding disclosed at the company’s September 2026 launch.
Latest Valuation
No verified public valuation was identified in the sources reviewed.
Core Market
Enterprise controls for agent identity, authorization, observability and execution.
Who Can Use Outerlimit?
Enterprise Security Teams
Security teams responsible for governing AI deployments can use this type of infrastructure to improve visibility into agent activity and apply controls to actions involving enterprise systems.
AI and Platform Engineering Teams
Teams building AI agents that interact with APIs, applications and internal tools can use runtime authorization controls to define the actions their agents are permitted to perform.
Regulated Organizations
Organizations in financial services, healthcare and other regulated sectors may need auditable controls over autonomous systems that interact with sensitive information and operational processes.
Funding Journey
Outerlimit emerged from stealth with funding from AlbionVC, Evolution Equity Partners and Crane Venture Partners.
The launch announcement also named strategic angel investors with experience in cybersecurity, enterprise technology and finance.
The disclosed pre-seed round remains the publicly identified funding total. A verified company valuation has not been disclosed.