Operations | Monitoring | ITSM | DevOps | Cloud

At WWDC25, Apple announced a set of updates to simplify IT management for enterprises. These updates, spread across macOS 26, iOS 26, iPadOS 26, tvOS 26 and visionOS 26, introduce practical tools to improve device, application and user management. This article outlines the specific capabilities and how they can be applied effectively in enterprise environments.

Agentic AI is making waves across various industries, and its potential to transform ITSM is undeniable. With all the talk about agentic AI capabilities, you are probably daydreaming about streamlining ITSM processes through automated incident management, automated change risk analysis, improved efficiency through service desk automation, or enhanced service quality with predictive maintenance. But you also may start to wonder: How real is all of this? Is my organization truly ready for agentic AI?

When operating in healthy economic environments, business teams are often allowed greater rein to explore how budgets can be allocated. But when times become tough due to geopolitical tensions, global tariffs, tech disruptions, layoffs, restructurings and rising tech costs, there is greater pressure on CIOs to minimize wasteful spending and prove the value of their IT investments — ensuring a louder bang for their buck.

You can’t fix what you don’t know is broken. Proactive attack surface management begins with total attack surface visibility, but persistent cybersecurity data blind spots leave organizations vulnerable. Ivanti’s 2025 State of Cybersecurity Report finds that siloed and inaccessible data limits visibility into threats and impedes security efforts and response times.

Apple declarative management introduces a shift from the traditional command-based model to a more autonomous and flexible framework. This approach aims to improve the efficiency and responsiveness of managing Apple devices. The components of Apple declarative management — declarations, assets, predicates and status channels — work together to create a more efficient, scalable and responsive MDM framework.

The healthcare sector, perhaps more than any other, needs to scrutinize the balance between data utility and data privacy. Healthcare organizations must manage large amounts of sensitive data while complying with stringent regulations such as the Health Insurance Portability and Accountability Act (HIPAA). For IT teams seeking to implement AI-augmented service management, that responsibility weighs heavily.

With AI at the center of media and industry focus, cybersecurity teams are increasingly putting pressure on themselves to prepare for AI-fueled cyber attacks. According to Ivanti’s 2025 State of Cybersecurity research, half of IT security professionals ranked “yet unknown weaknesses” as a high or critical threat – the same as or higher than compromised credentials, supply chain risks, DDoS attacks and other real-world threats.

Ivanti’s 2025 State of Cybersecurity Report revealed that just 1 in 3 organizations feel prepared to protect themselves from software supply chain threats. With attackers increasingly targeting third-party dependencies, supply chain attacks may become a painful Achilles heel for cybersecurity if organizations continue to overlook them.

Exploitation of vulnerabilities increased 180% year over year from 2023 to 2024, which means that quickly and effectively securing endpoints – always a priority – will only continue to escalate. Patching these vulnerabilities promptly, but without sacrificing stability, can present operational challenges. One way to achieve this: ring deployment — a technique that progressively scales rollouts to user groups.

Quantitative risk assessment offers an objective approach to risk analysis – but understanding the risk is only the first step. This article will break down how to interpret the results and translate those insights into meaningful decisions in a real-world environment.