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Services Firms Facing New Networking Challenges

Services firms are grappling with significant new networking and security challenges as they increasingly transition towards digital-first operations, according to The State of Network Security in Business and Professional Services, a report commissioned by Aryaka.

The business services sector is evolving to accommodate modern business needs. Legal, consulting, HR, property management, and other services companies are delivering solutions through the cloud and ramping up SaaS adoption to support remote and hybrid work. These decentralized, complex, cloud-based environments are harder to secure than traditional environments, introducing a range of new attack surfaces. Resource-constrained IT teams are struggling to protect apps and infrastructure in these settings, which can grow quickly in scale.

SaaS Performance and Security Demands Vex Strained IT Teams

Services organizations are looking to modernize their networks to support remote and hybrid work while ensuring consistent service quality across cloud-native applications and client-facing platforms. Survey respondents said their top strategic networking and security priority was improving application and SaaS performance (72%), followed by gaining network and security observability (68%) and simplifying operations and reducing IT burden (48%). These priorities underscore that the sector is optimizing for user experience and operational agility.

But day-to-day networking and security hurdles are making it difficult to accomplish these strategic goals. Overall, complexity and staffing gaps have created blind spots for services firms that affect both performance and protection. When asked about top networking and security challenges, respondents identified the following:

  • Securing SaaS and public cloud apps (66%)
  • Managing remote user access and latency (58%)
  • Operating with limited internal IT staff (54%)
  • Managing too many vendors/support contracts (46%)
  • Gaps in performance and threat visibility (43%)

To make matters worse, organizations in the sector are failing to prioritize edge security. Despite the rise of SaaS and remote work, only 38% of business services leaders view edge security as "mission-critical." While cloud maturity is rising, edge-layer protections (such as Zero Trust Network Access, Secure Web Gateway, and Next-Generation Firewall technologies) are often fragmented or under-deployed.

Unified SASE Simplifies Networking and Security Efforts

Services organizations are moving to solve these network performance and security issues by deploying Secure Access Service Edge (SASE) solutions, with 44% of respondents planning to adopt SASE in the next 12 months. These companies hope to unify security and network policy enforcement, improve user experience across SaaS and cloud, and reduce burden on internal IT teams.

"Professional services firms are under immense pressure to deliver seamless digital experiences while protecting an extremely sophisticated and decentralized environment. This survey confirms what we're hearing from the market every day: IT teams are overwhelmed by SaaS technology sprawl, latency issues, and managing disparate security solutions," said Ken Rutsky, CMO, Aryaka.

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Services Firms Facing New Networking Challenges

Services firms are grappling with significant new networking and security challenges as they increasingly transition towards digital-first operations, according to The State of Network Security in Business and Professional Services, a report commissioned by Aryaka.

The business services sector is evolving to accommodate modern business needs. Legal, consulting, HR, property management, and other services companies are delivering solutions through the cloud and ramping up SaaS adoption to support remote and hybrid work. These decentralized, complex, cloud-based environments are harder to secure than traditional environments, introducing a range of new attack surfaces. Resource-constrained IT teams are struggling to protect apps and infrastructure in these settings, which can grow quickly in scale.

SaaS Performance and Security Demands Vex Strained IT Teams

Services organizations are looking to modernize their networks to support remote and hybrid work while ensuring consistent service quality across cloud-native applications and client-facing platforms. Survey respondents said their top strategic networking and security priority was improving application and SaaS performance (72%), followed by gaining network and security observability (68%) and simplifying operations and reducing IT burden (48%). These priorities underscore that the sector is optimizing for user experience and operational agility.

But day-to-day networking and security hurdles are making it difficult to accomplish these strategic goals. Overall, complexity and staffing gaps have created blind spots for services firms that affect both performance and protection. When asked about top networking and security challenges, respondents identified the following:

  • Securing SaaS and public cloud apps (66%)
  • Managing remote user access and latency (58%)
  • Operating with limited internal IT staff (54%)
  • Managing too many vendors/support contracts (46%)
  • Gaps in performance and threat visibility (43%)

To make matters worse, organizations in the sector are failing to prioritize edge security. Despite the rise of SaaS and remote work, only 38% of business services leaders view edge security as "mission-critical." While cloud maturity is rising, edge-layer protections (such as Zero Trust Network Access, Secure Web Gateway, and Next-Generation Firewall technologies) are often fragmented or under-deployed.

Unified SASE Simplifies Networking and Security Efforts

Services organizations are moving to solve these network performance and security issues by deploying Secure Access Service Edge (SASE) solutions, with 44% of respondents planning to adopt SASE in the next 12 months. These companies hope to unify security and network policy enforcement, improve user experience across SaaS and cloud, and reduce burden on internal IT teams.

"Professional services firms are under immense pressure to deliver seamless digital experiences while protecting an extremely sophisticated and decentralized environment. This survey confirms what we're hearing from the market every day: IT teams are overwhelmed by SaaS technology sprawl, latency issues, and managing disparate security solutions," said Ken Rutsky, CMO, Aryaka.

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...