Asymptote Labs Raises $5.5M Seed for AI Agent Runtime Security Platform
Tower Research Ventures leads the round for the startup behind the open-source Beacon telemetry layer for autonomous tools.
Key points
- Asymptote Labs secured $5.5 million in seed funding to build runtime controls for enterprise AI agents.
- Tower Research Ventures led the oversubscribed round, joined by Lytical Ventures, 1984 Ventures, and South Park Commons.
- The capital will support engineering expansion and the commercialization of the Beacon telemetry layer.
Asymptote Labs has closed a $5.5 million seed funding round to develop infrastructure for controlling enterprise AI agents during runtime. According to SecurityWeek, Tower Research Ventures led the oversubscribed investment round. The startup intends to use the capital to expand its engineering team and accelerate go-to-market efforts for its security platform.
The company plans to commercialize its Beacon platform, which provides visibility and control for autonomous software tools. Founders Justin D’Souza and Shukan Shah aim to address monitoring gaps that security teams encounter when agents access sensitive corporate data. The funding will support the transition from an open-source telemetry core to a full commercial enterprise solution for real-time security operations.
Context and Background
Beacon serves as the foundational telemetry layer for the company’s approach to agent security. This open-source component standardizes activity data from more than twenty different agent harnesses, including Cursor, Codex, and Claude Code. By normalizing this telemetry into a unified data model, the system extends the existing OpenTelemetry framework to create a consistent view of agent behavior across diverse environments.
The founders bring prior experience in building defenses at Doppel, where they encountered the challenges of monitoring autonomous tools firsthand. D’Souza noted that AI agents are becoming a new operating layer within companies, but the infrastructure to control them has not kept pace. He stated that runtime data from these agents will become one of the most valuable assets organizations own as deployment scales.
Who Is Affected
Security teams managing large-scale deployments of autonomous AI tools face blind spots in monitoring sensitive data access. As companies deploy thousands of agents across their infrastructure, the lack of unified visibility creates operational risks. The Beacon platform intercepts live activity to enforce policy guardrails at both the prompt and tool execution levels. This mechanism is designed to steer agents away from unsafe behavior and block risky actions before they occur.
The commercial enterprise platform sits on top of the open-source Beacon core to provide real-time security operations. It addresses the specific need for runtime control in environments where autonomous tools interact with corporate data. This approach allows organizations to maintain oversight without restricting the utility of the AI agents entirely.
What should you do?
Organizations deploying AI agents should assess their current visibility into agent runtime activities. If you use multiple agent harnesses, check whether you can aggregate telemetry data into a standardized model. Security teams should evaluate existing controls to ensure they can enforce policy guardrails at the prompt and tool execution levels.
WATCH OUT:
- Monitor for new open-source telemetry standards that extend existing frameworks like OpenTelemetry.
- Review how autonomous tools access sensitive corporate data and identify monitoring gaps.
- Evaluate whether current security controls can intercept live agent activity in real time.
What to do and how to stay safe: Asymptote Labs
- Audit your inventory of deployed AI agent harnesses to understand the scope of runtime activity.
- Implement centralized logging that normalizes telemetry data from different agent platforms.
- Define and enforce policy guardrails for tool execution and prompt interactions.
- Prepare for the commercialization of runtime security platforms by testing open-source telemetry layers.
Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
How much funding did Asymptote Labs raise?
The startup secured $5.5 million in seed funding, according to SecurityWeek.
Which venture capital firms participated in the round?
Tower Research Ventures led the round, with participation from Lytical Ventures, 1984 Ventures, and South Park Commons.
What is the Beacon platform?
Beacon is an open-source telemetry layer that standardizes activity from over twenty agent harnesses into a unified data model.
