Alterion provides an intelligent runtime control plane that monitors, secures, and governs autonomous software agents across cloud, application, and endpoint environments. By observing agents in real time, the platform reveals and manages “dark code” execution paths that emerge only during operation, enabling enterprises to deploy agents faster while reducing hidden risk. It integrates with existing infrastructure to offer visibility, policy enforcement, and performance optimization for large‑scale agent deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying autonomous software agents across multiple clouds, applications, and endpoints lack visibility into the agents' runtime behavior, creating a hidden “dark code” risk surface that traditional security and governance tools cannot monitor.
Solution
Alterion provides an intelligent runtime control plane that sits between agents and infrastructure, continuously observing, analyzing, and governing every agent action in real time. Lightweight, runtime-level sensors collect network flows, container activity, endpoint events, and application logs without requiring code changes or SDK integration. The platform builds a live map of agent execution paths, detects anomalous or unauthorized behavior, and enforces intent‑based policies across all environments. Built‑in small language models translate plain‑language compliance rules into actionable controls, while real‑time prompt‑injection detection safeguards against adversarial inputs. Administrators can monitor, secure, and optimize agent fleets from a unified console, reducing risk while maintaining rapid deployment cycles.
Target Audience
Primary customers are enterprise IT, security, and AI operations teams that manage large fleets of autonomous agents across multi‑cloud and hybrid environments.
Features
- Agent‑agnostic runtime sensors that auto‑detect agents across AWS, Azure, GCP and any development framework (e.g., LangChain, CrewAI) without code modifications
- Real‑time observability of execution paths, including “dark code” generated only during runtime
- Intent‑based policy engine that converts plain‑language or CSV compliance rules into actionable controls applied uniformly across clouds
- Contextual boundaries that enforce what an agent should do based on purpose, team, and environment, not just static permissions
- Prompt‑injection monitoring that flags and remediates malicious input patterns in text, files, or images
- Unified dashboard for continuous monitoring, security alerts, and optimization insights across the entire agent ecosystem