Alterion Introduces Draco Runtime Control Platform for AI Agent Governance
Alterion announced in a press release the release of Draco, a runtime control platform that allows enterprises to gain real time visibility and enforce governance over AI agents in production environments. The platform operates independently without requiring agent code changes or specific vendor dependencies.
Draco functions as a control layer positioned between AI agents and enterprise infrastructure. It observes prompts, actions, and payloads in real time through Alterion's Helix runtime intelligence layer. The system models agent behavior and applies guardrails that prevent high risk actions such as data deletion or modifications before they occur.
The platform is designed to help security, risk, and compliance teams manage agent behavior while maintaining operational speed. It can be deployed within customer environments and supports multiple infrastructures, including on premises and cloud setups. Draco maps agent activity to frameworks such as SOC 2, ISO 42001, and the EU AI Act to aid audit readiness.
Alterion stated that Draco enables organizations to reduce incident related costs, improve reliability, and maintain compliance in regulated industries. The product became available to enterprise customers starting July 16, 2026.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to Europe Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 CTM and Huawei Plan AI Network Security Upgrades in Macao Oct 16 Huawei and 14 partners form Global AI CITY allianceEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Acalvio Launches ShadowPlex Security Agent for Gemini Enterprise
Armor Founder Calls for Governed Enterprise AI at GovWare
Oracle Introduces Fusion Claw for Governed AI Agent Execution
Omnissa Adds AI Agents and Governance to Workspace Platform
Arcjet Launches Runtime Security for AI Agents
Daily AI Brief: the AI news that matters, in your inbox.