Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I am a seasoned IT professional with over 14 years of experience in End-User Computing (EUC), with a strong specialization in the Windows ecosystem. I currently serve as a Lead for the EUC Platform at Northern Trust Corporation, where I play a pivotal role in enterprise-scale device management and modern workplace solutions.

Before this, I worked at Microsoft as a Service Engineer II in the Intune team, gaining deep technical expertise in Microsoft Endpoint Manager and cloud-based device management. Over the years, I have contributed to the digital transformation initiatives of several global organizations, including HSBC, Rockwell Automation, TOMTOM, and Tata Consultancy Services.

My core areas of expertise include Microsoft Intune, SCCM, PowerShell scripting, Microsoft Graph API, and advanced troubleshooting of EUC technologies. With a proven track record of managing and optimizing large-scale IT environments, I bring both strategic insight and hands-on experience to modern IT operations.

 

Q2. What is the projected growth trajectory of the Unified Endpoint Management (UEM) market through 2025, and how are different segments (e.g., solutions vs. services) contributing to this expansion?   

Through 2025, the market for unified endpoint management (UEM) is expected to develop significantly due to the growing demand for safe and centralized device management across a variety of platforms, including Windows, macOS, iOS, Android, and even Internet of Things devices. By 2025, analysts predict that the UEM market will have grown to a value of over USD 10 billion, with a compound annual growth rate (CAGR) of about 30%.

Numerous significant trends are driving this expansion, the most notable of which is the growing use of automation in endpoint management. Businesses are searching for methods to guarantee security and compliance at scale, minimize manual intervention, and streamline IT processes. Automation improves user experience by enabling self-service, proactive remediation, zero-touch provisioning, and increasing efficiency.

From the standpoint of a segment:

The majority of the market is contributed by solutions or software platforms such as VMware Workspace ONE, Microsoft Intune, etc. These are developing quickly, with integrated AI/ML capabilities for analytics, predictive maintenance, and automated policy enforcement.

Services (consulting, implementation, and maintenance) are also steadily increasing, especially as businesses require assistance with contemporary management adoption, scripting, and API-based bespoke automation, as well as migration from legacy systems.

Automation, cloud use, and the move to contemporary device management frameworks are driving the UEM market's expansion. Businesses are searching for smart, integrated solutions that can expand and adjust to a constantly changing hybrid workplace, not just tools.

 

Q3. In light of the trend towards 'platformization' in cybersecurity, how are leading firms positioning themselves, and what impact does this have on mid-sized competitors? 

As cloud services and hybrid work environments have become more widely used, cybersecurity has emerged as a major concern for many industries. The 'platformization' movement has emerged as a result of this change, with top companies switching from separate security products to integrated security platforms that provide end-to-end visibility and management over the whole digital estate.

Big companies like Cisco, Palo Alto Networks, Microsoft, and CrowdStrike are making significant investments in creating unified security ecosystems that bring together analytics, threat detection, identity management, and endpoint protection under one roof. In order to satisfy the intricate requirements of big businesses, its strategic posture emphasizes scalability, automation, and AI-driven insights.

This poses a dilemma for smaller and mid-sized cybersecurity companies. On the one hand, platform suppliers' dominance makes competition more difficult. Gaining market share becomes increasingly challenging unless they provide unique, affordable, or specialized solutions. However, specialized companies that develop in fields like behavioural analytics, cloud-native security, zero trust architecture, or reasonably priced managed services can establish significant markets, particularly if they mesh effectively with broader ecosystems.

In conclusion, platformization improves the standing of well-known providers, but it also puts pressure on and gives mid-sized rivals the chance to innovate, specialize, and provide value in a more focused and flexible way. The key to being relevant in this changing industry will be cost-effectiveness, integration skills, and distinctive feature sets.

 

Q4. How is the convergence of UEM and Virtual Desktop Infrastructure (VDI) shaping the future of EUC, and what investment opportunities does this present? 

A key component of developing contemporary EUC strategies is the convergence of Virtual Desktop Infrastructure (VDI) and Unified Endpoint Management (UEM). Whether employees utilize virtual desktops or physical devices, companies require consistent, secure, and policy-compliant access to corporate resources as they transition to a hybrid workforce model. As a result, there is now more connectivity between UEM platforms and VDI products such as Citrix DaaS, VMware Horizon, and Azure Virtual Desktop.
Technically speaking, UEM systems are developing to manage cloud desktops, virtual sessions, thin clients, and physical endpoints from a single point of view. This unified control strengthens security posture, streamlines lifecycle management, and increases employee satisfaction by facilitating policy consistency and smooth access across device types and work contexts.
This convergence is especially beneficial in the financial services sector, where data security, regulatory compliance, and safe remote access are critical. For instance, by integrating Microsoft Intune with Azure Virtual Desktop, companies can apply security baselines, implement conditional access, and guarantee data sovereignty in a virtualized environment.

Prospects for Investment:

This convergence creates several exciting opportunities for innovation and investment:

1. Integrated Management Platforms: There is a great need for solutions that combine VDI and UEM under a single management layer. Vendors with shared analytics, policy synchronization, and deep integration across the two environments are in a strong position to expand.

2. Compliance and Security Add-ons: Particularly in regulated businesses, tools that improve session recording, multi-factor authentication, zero trust, or real-time compliance monitoring in hybrid systems provide a high return on investment.

3. User Experience Analytics: To provide proactive IT support and SLA management, platforms that examine performance and usability across physical and virtual endpoints—detecting latency, application crashes, or abnormal user behaviour—are becoming increasingly popular.

4. Automation and AI: Investing in AI-driven automation, such as intelligent provisioning, resource optimization in VDI, or auto-remediation of endpoint problems, can result in cost savings and increased operational agility.

In summary, combining UEM and VDI represents a strategic change in how businesses provide safe, adaptable, and efficient work environments rather than merely a technical advancement. In finance, where control, compliance, and scale are non-negotiable, it provides abundant investment opportunities in platform integration, security tooling, user experience optimization, and intelligent automation.

 

Q5. How is the integration of Zero Trust security models influencing the development and adoption of advanced endpoint security measures?

The incorporation of Zero Trust security models is profoundly altering the creation and uptake of sophisticated endpoint security solutions. Based on the fundamental tenet of "never trust, always verify," Zero Trust enforces stringent identity verification, device compliance, and ongoing risk assessment, regardless of whether the access request originates from within or outside the company network.
This concept has become essential in today's perimeter-less and hybrid IT systems. Because of this, businesses spend a lot of money on endpoint security products that complement Zero Trust architecture. The following significant developments are driving this shift:

Device-Centric Security and Identity

Endpoints are becoming more than simply points of entry; they are essential to implementing Zero Trust. Before allowing access, enterprises can verify user identification and device compliance using contemporary solutions like Defender for Endpoint, Azure AD Conditional Access, and Microsoft Intune. Users must pass risk-based access regulations and multi-factor authentication (MFA), and devices must be controlled, safe, and risk-free.

Adaptive access control and ongoing monitoring

Zero Trust requires continuous verification, not just at login. Endpoint security today encompasses automated remediation, behavioural analytics, and real-time threat detection. AI/ML is used by tools such as Microsoft Defender XDR, CrowdStrike Falcon, and SentinelOne to assess risk dynamically and immediately initiate security responses.

Least Privilege Access and Micro-Segmentation

Strict access restrictions now govern endpoints, guaranteeing that users and apps only receive what they require—neither more nor less. Micro-segmentation also applies to endpoints by restricting access to company resources according to factors like role, location, device status, and more. In the event of a compromise, this hinders lateral movement and shrinks the assault surface.

Integration with Cloud Security and UEM

1. Cloud-native security frameworks and UEM platforms are closely integrating endpoint security capabilities. For example, Microsoft delivers a Zero Trust-ready ecosystem in which Defender for Endpoint gives ongoing protection and device telemetry, Azure AD enforces identity standards, and Intune oversees device compliance.

Impact on Business:

• Better Security Posture: Businesses lower the risk of breaches by verifying each user and device.
• Regulatory Compliance: Assists in fulfilling standards such as ISO 27001, GDPR, and HIPAA.
• Faster Incident Response: Threats can be identified and mitigated more quickly thanks to integrated telemetry.

Endpoint security is being driven by, not only impacted by, the implementation of Zero Trust. Holistic, cloud-integrated, identity-driven security architectures that consider endpoints as active participants in risk assessment and access choices are currently being prioritized by enterprises. In cloud ecosystems such as Microsoft Azure, Google Cloud, and AWS, where native Zero Trust capabilities are quickly developing and being widely embraced, this shift is particularly noticeable.

 

Q6. Which industries are leading in the adoption of AI-driven automation tools, and how is this trend impacting the growth of endpoint security solutions?

Leading Sectors in the Adoption of AI-Driven Automation:

The requirement for scalability, efficiency, and high levels of data security has put a number of industries at the forefront of AI-driven automation:

1. Services for Finance

AI is widely used by financial institutions for cybersecurity threat mitigation, compliance automation, and fraud detection. Due to sensitive data and strict restrictions, banks and insurance companies are utilizing AI-driven endpoint security to identify irregularities, automate responses, and implement zero-trust rules in real time.

2. Medical Care

AI is being used in the healthcare industry to safeguard electronic health records (EHRs), automate administrative tasks, and manage patient data. Given the value that thieves place on healthcare data, AI-powered endpoint protection (such as behavioural analysis and ransomware detection) is becoming essential.

3. E-commerce and retail

Retailers are using AI to automate inventory and sales analytics and improve the consumer experience. Endpoint protection technologies are becoming increasingly AI-enabled to defend cloud-connected infrastructure, mobile devices, and point-of-sale systems.

4. Production

As a result of Industry 4.0, manufacturing is using AI to automate processes and perform predictive maintenance. Endpoint security solutions are responsible for protecting IoT and OT (Operational Technology) devices, which frequently lack conventional protections.

5. Professional Services and Technology

Tech firms and service providers are early adopters by nature. They use AI for automated incident response, code analysis, and SOC (Security Operations Centre) optimization. These companies frequently take the lead in implementing AI-enhanced endpoint detection and response (EDR) systems that are cloud-native.

Effect on Security Solutions for Endpoints

The expansion and development of endpoint security are directly impacted by the broad use of AI in three sectors:
Proactive Defense: Artificial intelligence (AI) enables real-time anomaly detection and predictive threat modelling, allowing endpoint solutions to thwart threats before they materialize.

Automation of Routine Tasks: AI significantly reduces human workload and improves MTTR (Mean Time to Respond) by automating patch management, device compliance checks, and issue triage.

Scalability Across Device Types: AI-powered security expands to manage extensive telemetry and correlation across endpoints as businesses increase the complexity of their endpoints (PCs, mobile devices, virtual desktops, and IoT).

Context-Aware Protection: AI works with identity and UEM systems to make security and access decisions based on location trends, device health, and user behaviour.

Sectors like manufacturing, retail, healthcare, and finance are leading the way in the use of AI-driven automation, which is driving a parallel shift in endpoint security. AI is now a must for modern companies to enable autonomous, adaptive, and scalable endpoint protection as threats become more complex and surroundings more intricate.

 

Q7. If you were an investor looking at companies within the space, what critical question would you pose to their senior management?

One important question to ask senior management as an investor assessing businesses in the endpoint security and AI-driven automation market is:

"How is your company leveraging AI and automation not just for detection, but for real-time decision-making and autonomous response across endpoints—and how do you differentiate from larger platform providers like Microsoft or CrowdStrike?"

"Can you walk me through how your solution fits into a Zero Trust architecture?"

"What percentage of your roadmap is focused on AI/ML capabilities versus traditional endpoint defense?"

"How do you integrate with existing UEM, cloud, or SIEM platforms in enterprise environments?"

"What's your customer retention rate and feedback on autonomous threat handling?"

Both technical maturity and go-to-market strategy—two essential components for making well-informed decisions—are revealed by this line of inquiry.