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Home Cybersecurity operations

Autonomous patch compliance targets regulatory gaps

by FutureCISO Editors
April 21, 2026
Autonomous patch compliance targets regulatory gaps

Photo by Daniil Komov from Pexels: https://www.pexels.com/photo/modern-laptop-on-wooden-desk-with-code-displayed-34803994/

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Ivanti has announced new capabilities for its Neurons platform, positioning the company’s AI-driven approach as a step toward autonomous IT and security operations at scale. The announcement argues that teams face mounting pressure from faster vulnerability cycles and the growing productivity of large language models (LLMs), making it harder to remain reactive.

Ivanti frames the work as an effort to enable environments to “detect, decide and act autonomously” without losing governance, control or trust.

The company links the timing to a shifting threat landscape, describing a “post Mythos and GPT-5.4-Cyber world” where advanced AI capabilities may quickly surface exploitable weaknesses. In that context, it says more endpoints and complexity raise the operational burden for both IT and security teams.

Dennis Kozak, CEO at Ivanti, said: “Ivanti’s Neurons platform enables autonomous management with prevention, resolution and compliance, allowing IT and security teams to scale efficiently.”

He added that organisations need systems that can decide and act securely at scale, and criticised approaches that only provide visibility but continue to require continuous human intervention.

“While many other solutions offer visibility, they still require constant human intervention which is unsustainable,” Kozak said.

At the core of the update is the Neurons platform’s “unified agentic AI framework”, which Ivanti says draws on trusted platform data across devices, lifecycle status, entitlements, support context and relationships. Ivanti characterises these updates as a way to turn “intelligence into impact”, using AI-driven workflows with trusted context intended to operate reliably in complex environments.

A major highlight is Autonomous Patch Compliance. Ivanti says Neurons for Patch Management now includes “Continuous Compliance”, an automated enforcement model intended to close the gap between scheduled patch deployments and regulatory requirements.

Related:  Recalibrating CISO strategies amid AI complexity

The company states that out-of-compliance endpoints can be identified and patched out-of-band, including those that missed maintenance windows, with the goal of sustaining compliance objectives while minimising manual work.

Ivanti also announced an agentic AI solution for ITSM: a self-service agent released under controlled availability. Ivanti says the Neurons AI self-service agent moves beyond conversational intake toward autonomous resolution, with guardrails for policy, approvals and data context. The feature is not enabled automatically; customers must request it.

Robert Hanson, chief information officer at Grand Bank, described expectations from deploying the agent: “Over time, this approach should help us reduce operational overhead while delivering faster, more secure service within the guardrails we define.”

Beyond the Neurons enhancements, Ivanti included additional innovations, including a EU “Sovereign Edition” for MDM aimed at regulated sectors, and updated hardware appliances (ISA6500 and ISA8500) paired with Ivanti Connect Secure 25.1.2.0, described as hardened baseline devices intended to reduce attack surface and support continuity.

Tags: autonomous patch compliancegoverned self-serviceIvantiregulatory gaps

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