Axonius Inc. has introduced AI Workforce, a new suite of autonomous virtual workers integrated into its Asset Cloud platform. These agents are designed to handle remediation tasks that security teams often struggle to address due to fragmented data across multiple tools.
The platform now offers more than 50 types of virtual workers, covering areas such as exposure triage, shadow AI, and post-quantum cryptography readiness. Each worker tracks specific metrics to monitor outcomes, with results compiled into a daily report ranked by urgency.
Users can manage worker autonomy through three modes: Off, Shadow, and Live. While Live mode allows for automated actions, sensitive operations like outbound messaging or system changes require manual approval. Every action is recorded in an audit trail.
Additionally, the company has moved its AI Companion and MCP Server to general availability. The AI Companion enables natural language queries and task execution, while the MCP Server allows external AI tools to access asset data via the Model Context Protocol.
The entire system relies on the Asset Cloud, which aggregates data from over 1,400 bidirectional integrations and reconciles more than 80 asset and exposure entity types. Customers operate their own private large language model instances within dedicated environments.
