Alterion Debuts Draco to Govern Enterprise AI Agents at Runtime

As organizations deploy AI agents into production, they often face a visibility vacuum where traditional logging fails to capture intent or behavioral context. This creates significant friction for compliance with frameworks like SOC 2 and the EU AI Act. Draco addresses this by functioning as an intermediary layer between AI agents and enterprise infrastructure, using Alterion’s Helix intelligence to analyze payloads and prompts in real time.

By monitoring actions before they execute, the platform enables companies to block high-risk activities, such as unauthorized data deletion, without forcing engineering teams to rebuild existing workflows. Co-founder Alharith Hussin describes current design-time governance as mere guessing, arguing that true risk management requires the ability to intercept behavior the moment it deviates from established boundaries. The tool is infrastructure-agnostic, supporting diverse AI gateways and LLM vendors while operating within customer VPCs to maintain data privacy. With deployment typically spanning days rather than months, Alterion aims to help large-scale organizations audit their agentic ecosystems and reduce operational costs associated with manual incident overrides.