Ivanti: A unified data system unlocks the value of AI and removes barriers between IT and information security

In modern corporate environments, IT infrastructure management and information security teams often operate in silos. This fragmentation not only reduces an organization's overall security posture but also becomes a major obstacle to the successful deployment of artificial intelligence. Ivanti, a leading provider of solutions for managing and securing workplaces, has published a comprehensive research report titled "Scaling AI in IT Operations". The study demonstrates how establishing a single System of Record fundamentally transforms business management approaches.

The data silo issue and the AI paradox

Many organizations are eager to scale the use of AI within their operational processes. However, without a high-quality and consolidated database, any AI initiatives are bound to yield low efficiency. If algorithms are trained on scattered, outdated, or conflicting information, automation results can cause more harm than good. Integrating ITSM (IT Service Management), ITAM (IT Asset Management), and SecOps (Security Operations) processes within a single platform creates the essential foundation required to unlock the true value of AI.

Without a single source of truth, scaling AI deployments simply turns into the automation of chaos.

Key metrics and research findings

The Ivanti report is based on a global survey of hundreds of IT executives and security professionals. The outcomes of implementing a centralized system of record demonstrate a qualitative leap in companies' operational efficiency:

• 57% of respondents reported a significant improvement in information sharing and coordination between IT and security teams.
• Risk reduction: unifying asset data enables faster detection of vulnerabilities and anomalies, thereby shortening incident response times.
• Cost optimization: a clear understanding of the hardware and software lifecycle eliminates duplicate licensing and unnecessary expenses.
• Accelerated innovation: consolidated information serves as a reliable baseline for predictive analytics and automated AI scenarios.

Comparing infrastructure management approaches

To visualize the impact, let us examine how processes within an organization change when transitioning from a traditional siloed model to a unified data ecosystem.

Siloed model (Data silos)

• Data collection: each team utilizes its own tools (ITAM, ITSM, and SecOps operate independently).
• Information sharing: slow, manual data transfers with a high risk of errors and outdated information.
• AI readiness: low, due to the lack of a consistent and structured data model required to train algorithms.
• Incident response: delayed, because teams must manually correlate data across multiple disparate consoles.

Single system of record (Ivanti ecosystem)

• Data collection: automated, end-to-end discovery of all assets, software, and vulnerabilities in a single dashboard.
• Information sharing: instant, real-time access to the current status of any device for both IT and security departments.
• AI readiness: high, as algorithms operate on clean, structured, and verified data.
• Incident response: virtually instantaneous, driven by automated risk prioritization.

Benefits for CISO and IT directors

For a Chief Information Security Officer (CISO), a single system of record means complete visibility over the threat landscape. It is impossible to protect what you do not know exists. When SecOps shares the exact same asset map as the IT department, patch management and vulnerability remediation processes accelerate dramatically. Concurrently, IT directors gain a transparent overview of infrastructure utilization, enabling data-driven budget planning and the automation of routine user requests via AI assistants.