ATSG

Gartner predicts that by 2026, 40% of organizations will repurpose PCs as Thin Clients to run Windows 11.

Windows 10 is approaching end of life in October 2025.

Organizations relying on legacy hardware are vulnerable to security risks, compliance challenges, and significant capital expenditures for hardware refreshes.

But upgrading to Windows 11 can be costly, especially when outdated PCs don’t meet system requirements.

Desktop as a Service (DaaS) provides you the option to deliver a high-performance experience on older devices -offering the feel of the latest technology without costly upgrades.

With DaaS you can:

✅ Extend the life of existing PCs—even if they can't run Windows 11
✅ Eliminate the hassle of OS licensing (we include it!)
✅ Save costs while modernizing your IT environment.

AI is transforming industries. But for many organizations, the journey to AI adoption is unclear, complex, and overwhelming. AI adoption has grown 2.5x since 2017, but fewer than 20% of companies have successfully scaled AI across their business.

Confusion Over Where to Start – Enterprises know AI can drive efficiency and innovation but struggle to identify the best use cases.
Lack of AI-Ready Infrastructure – Many organizations lack the data architecture, processing power, and security required for seamless AI integration.
Talent & Skill Gaps – AI adoption isn’t just about technology—it requires skilled teams who can build, implement, and manage AI solutions effectively.
Ethical & Compliance Concerns – Organizations need to ensure their AI strategy aligns with regulatory frameworks and responsible AI principles.

When implementing AI, one of the first questions to ask is- What data do I need?

#1: Public or Private AI solution
Start by determining whether your AI will rely on private data (confidential corporate information) or public data (freely available on the internet). If your AI model needs access to sensitive business data- like customer records or financial reports-you will need a private AI solution that keeps data within your organization’s secure environment.

#2: Unique language or Lexicon
Another key factor is whether your business has a unique language or lexicon. Industries like healthcare, law, finance, and technology use specialized terminology that may not be fully understood by public AI models.
Public AI models, like ChatGPT, pulls knowledge from the internet, which is useful for general inquiries but not for analyzing private corporate data. If you need AI to handle internal information- such as customer billing details- you will require a private AI solution within your infrastructure.

Solution #1: Copilot
This is where Microsoft Copilot stands out. It seamlessly integrates with Microsoft 365, granting access only to files you already have permission to view. It also maintains a clear separation between private and public data, ensuring security and compliance.

Solution #2: AI Managed Services
AI advisory and consulting services help organizations evaluate their AI maturity, identify gaps, and build a scalable roadmap for AI success. It bridges the gap between AI curiosity and AI ex*****on, helping businesses define a clear, strategic path toward AI-driven transformation.

Ultimately, the right AI solution depends on your business goals and data requirements. Do you need AI for general research, internal analytics, or workflow automation? Reach out to us if you would like to learn more about our AI-related services.

You know those days when you feel like you're drowning in security alerts?

We understand the challenges of managing a modern security landscape. That's why we provide a combination of best-in-class tools, including Expel, CrowdStrike, Microsoft Sentinel, and Tenable, to provide threat detection and response.

But we also recognize that every organization is unique. That's why we work with you to incorporate your existing security tools into our SOC framework.

Hear from our SVP of Cybersecurity, Victor Tingler, as he shares insights into our SOC capabilities and how we can help you strengthen your security posture.

Organizations reported a mean cost to recover from a ransomware attack of $2.73M in 2024, an increase of almost $1M from the $1.82M reported in 2023 (Source: The State of Ransomware Attacks by Sophos)

Many mid-size businesses with 50+ employees have started to adopt MDR to pivot from reactive to proactive cyber security.

According to Gartner®, by 2025, 60% of organizations will be actively using remote threat disruption and containment capabilities delivered directly by MDR providers, up from 30% today.

Do any of the following situations resonate with you?

Struggling with too many security tools and alerts?
Lacking visibility, context, and the skills to secure your investment.
Looking to reduce SOC workload due to alert fatigue.
Looking to build a SOC but don’t have the time, skills, or budget.
Fed up with being tied to a fixed tech stack that doesn’t support the evolution of their business.

If the answer is yes, our MDR solution can help alleviate some of the problems.

Our MDR offering is designed with flexibility in mind, allowing you to bring your own tools or utilize the solutions we provide.

With a global team operates 24/7 to free your from the hassle of keeping the lights on. From Tier 1 engineers handling the heavy lifting to Tier 2 and Tier 3 specialists tackling critical incidents, we ensure every threat is addressed effectively.

When major incidents arise, our SOC managers step in to oversee resolution, providing a comprehensive approach to cybersecurity, all while keeping you in the loop.