Tenable Hexa AI adds always-on agentic capabilities for exposure management
Tenable Holdings, Inc. said its Tenable Hexa AI now includes always-on capabilities designed for an agentic approach to exposure management within the Tenable One Exposure Management Platform. The change focuses on running security tasks as ongoing routines, rather than requiring manual workflow triggers or repeated context entry.
The company linked the update to operational friction in AI security tools that require analysts to prompt workflows or re-enter context. Tenable said agentic capabilities create automatic routines and persistent workflows to shift security teams from managing AI to orchestrating continuous autonomous activity.
According to Tenable, Tenable Hexa AI works as an agentic engine that uses a connected fleet of agents to coordinate multi-step security tasks. The company said contextual memory capabilities help retain enterprise environment risk context, priorities, and settings across sessions, reducing the need for constant re-prompting.
Tenable said the capabilities include daily scanning for critical exposures with analysis and triage, remediation triggering and patch verification, plus weekly drift analyses that generate tickets for critical deviations. The company also cited executive and compliance reporting with weekly tailored briefings that include multi-domain context. “Security teams can’t scale if they’re confined to a chatbot or a disjointed, highly-specific agent,” said Eric Doerr, Chief Product Officer, Tenable. “Tenable Hexa AI delivers on the autonomous promise of AI with a fleet of agents that all work together, rather than in silos, to help customers advance security goals. Only Tenable offers this level of agentic autonomy at scale, eliminating repetitive operational bottlenecks and delivering a continuous, machine-speed defense.” Tenable said new Tenable Hexa AI capabilities were scheduled for August 2026 for Tenable One Foundation and Advanced customers.
Provided by Globe Newswire on behalf of Tenable. Click to read original content.