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Tenable Hexa AI: Automating exposure remediation with agentic routines

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vulnerabilities

Tenable Hexa AI: Automating exposure remediation with agentic routines

Tenable announced Hexa AI, an agentic engine for its Tenable One platform that automates the workflow between vulnerability identification and endpoint patching. The tool uses intent-driven routines to enumerate affected assets, identify appropriate patches, present proposals for approval, and execute deployments across integrated platforms like Jamf, reducing a multi-day manual process to minutes within a conversational interface.

Why it matters: Security teams managing vulnerabilities across multiple tools can reduce remediation time from days to minutes, lowering the window in which exploitable flaws remain unpatched on production assets.

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Tenable Hexa AI: Automating exposure remediation with agentic routines

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Tenable Hexa AI: Automating exposure remediation with agentic routines

Tenable Hexa artificial intelligence (AI) automates the remediation workflow between exposure management and endpoint patching by executing asset enumeration, policy identification, and deployment approval steps within a unified interface. The system presents remediation proposals for user approval before execution, then tracks rollout progress and schedules verification rescans without requiring users to toggle between tools. Security teams can also define intent-driven routines with objectives, guardrails, and cadence to automate recurring vulnerability remediation tasks.

Why it matters: Security teams managing multi-day remediation gaps between vulnerability discovery and patch deployment across fragmented tools should evaluate whether Hexa AI's unified workflow and auto-approval guardrails reduce their time-to-remediation and manual coordination overhead.

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vulnerabilities

Tenable Hexa AI: Automating exposure remediation with agentic routines

Tenable Hexa artificial intelligence (AI) automates the remediation workflow between exposure management and endpoint patching by executing asset enumeration, policy identification, and deployment approval steps within a unified interface. The system presents remediation proposals for user approval before execution, then tracks rollout progress and schedules verification rescans without requiring users to toggle between tools. Security teams can also define intent-driven routines with objectives, guardrails, and cadence to automate recurring vulnerability remediation tasks.

Why it matters: Security teams managing multi-day remediation gaps between vulnerability discovery and patch deployment across fragmented tools should evaluate whether Hexa AI's unified workflow and auto-approval guardrails reduce their time-to-remediation and manual coordination overhead.

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