Unified Agentic AI Framework
AI only delivers value when it’s grounded in trusted data, consistent context, and executed with control. The Ivanti Neurons unified agentic AI framework transforms data into context and connects insights to coordinated, governed action across IT and security operations. Built on a validated system of record, it ensures that every decision is accurate, accountable, and ready for execution.
Trusted data powers effective AI. Ivanti Neurons transforms data into context and connects insights to governed action across IT and security operations. Built on a validated system of record, it ensures every decision is accurate, accountable and actionable.
AI operates on authoritative data from the platform’s system of record, ensuring consistent decision-making across domains.
The framework applies shared operational context across platform data and extends into external systems through MCP, APIs and connectors — ensuring accurate, governed decisions that reflect real-world dependencies.
AI makes context-aware decisions across IT and security workflows to reduce fragmentation and improve alignment across teams and systems.
Unified AI accounts for workflows, dependencies and downstream impact, triggering coordinated execution through automation and orchestration with built-in policy enforcement and approval controls.
AI learns from real operational results captured in the platform, reinforcing future decisions and providing visibility into performance and outcomes.
Features and capabilities
The unified agentic AI framework applies intelligence across diagnosis, decisioning and action, ensuring every outcome is governed, traceable and grounded in trusted data.
Ivanti Neurons applies AI from context creation to execution, aligning decisions with policy, role-based controls, continuous learning, and traceability.
Deliver in-workflow recommendations and next actions, with clear rationale and supporting context to guide user trust and adoption.
Analyze normalized platform data to identify root causes and downstream impact, supported by clear evidence and contextual insights.
Capture outcomes and operational knowledge, improving future decisions and reducing manual knowledge transfer.
Apply policy, business context, dependencies, workflows, and service impact to guide safe, explainable actions aligned with organizational controls.
Account for dependencies, workflows, and service impact before acting, ensuring safe, policy-aligned execution.
Trigger actions through platform automation and orchestration, moving decisions into execution with role-based access, approval gates and full auditability.
Retrieve live context and coordinate decisions across external systems using Model Context Protocol (MCP), while maintaining governance, security and a consistent platform context.
Leverage natural language interaction to query, diagnose and execute actions using real-time platform context.
The unified agentic AI framework applies intelligence across trusted data, connects decisions to execution and ensures consistent, governed outcomes.
An agentic AI framework is the intelligence layer that helps AI understand context, guide decisions and coordinate action across workflows. In Ivanti Neurons, the unified agentic AI framework acts as the decision layer of the platform, transforming trusted data into context and connecting insights to governed action across IT and security operations.
AI helps IT workflow automation move beyond static steps and manual handoffs. It can interpret trusted operational data, guide prioritization, recommend next actions and support execution through governed workflows. In Ivanti Neurons, AI works from the platform system of record, so decisions and automation are grounded in accurate asset, service and operational context.
The Ivanti Neurons Platform agentic AI framework connects trusted data, AI-driven decisioning and governed execution in one operating model. It enriches platform data with relationships and operational context, then helps teams move from query to insight to action through coordinated workflows. This gives automation the context and control needed to operate more consistently across IT and security operations.
AI insights help teams understand what is happening. AI decisioning applies context, policy and business impact to recommend what should happen next. Organizations can choose the right level of autonomy, from human-assisted decisions to automated execution within defined guardrails.
Connect data, decisions and execution into a single AI-driven operating model with Ivanti Neurons.