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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.

The Latest

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...