Network security stacks are stronger than ever: visibility is high, threat detection is improving, and AI adoption is widespread, with 99% of SOCs using it in some capacity.
But despite these advances, network security teams face many of the same operational challenges as before. Incidents still escalate. Responses are slow. Analysts remain overwhelmed and burnt out.
The issue isn’t detection – it’s what happens next. Teams have invested heavily in tooling and automation, but processes break down as work moves between tools, slowing down responses, requiring manual effort, and introducing risk.
To keep networks secure, reliable, and performant, teams need to rethink their underlying operational layer.
Why network security is getting harder in 2026
Against a backdrop of increasing operational complexity – more alerts, more systems, more coordination required – recent industry shifts are making network security notably more difficult in 2026.
Hybrid, multi-system environments increase complexity
Today’s network security teams must operate across a mix of cloud, on-prem, and hybrid environments. But for many teams, an increase in coverage breadth also increases complexity: our Voice of Security 2026 report found that the more tools a team uses, the higher the likelihood of burnout.
Security teams are already stretched thin. Four out of five security professionals say their workloads have increased in the last 12 months, with teams spending an average of 44% of their time on manual or repetitive work that could be automated.
Complex, distributed infrastructure increases the operational burden on teams as they must turn to manual muckwork to bridge disconnected systems and workflows – burning out analysts, creating visibility gaps, and making it harder to enforce security policies consistently and at scale.
Supply chain and third-party risks expand the attack surface
Modern security stacks rely on a growing ecosystem of vendors, partners, and integrations. Attackers are making the most of it: according to X-Force’s Threat Intelligence Index 2026, major supply chain and third-party breaches have quadrupled over the past five years.
As environments become more interconnected, systemic weaknesses – like open-source dependencies, insecure components, and compromised CI/CD pipelines – create additional opportunities for threat actors to exploit trusted channels and introduce risk.
Identity and credential-based attacks dominate modern breaches
Credential abuse may no longer be the leading initial access vector in 2026, but it remains the most common attack technique across the full breach lifecycle. The Verizon 2026 Data Breach Investigations Report finds that when all instances of credential abuse in the attack chain are considered, it features in 39% of all breaches.
Additionally, CrowdStrike’s 2026 Global Threat Report reveals that valid account abuse accounted for 35% of cloud incidents in 2025. This further underscores the operational challenge facing network security teams, who must be able to quickly and effectively connect identity signals across systems to distinguish malicious activity from legitimate users.
3 network security processes where execution breaks down
Three core processes create ongoing operational drag and reveal where – and why – execution breaks down.
1. Alert triage and investigation
What it is: Reviewing alerts, gathering context, assessing risk and severity, prioritizing accordingly, and deciding next steps
Where it breaks down: The context required to understand alerts lives across multiple tools, so analysts must manually switch between systems to enrich and investigate them. Increasing alert volumes make it harder to distinguish false positives from genuine threats, while capacity remains limited by team size. This leaves organizations at risk of missing high-priority threats that escalate into security incidents.
Why it’s harder now: AI-enabled threats increased 89% in the last year, according to CrowdStrike. The sheer volume and speed of attacks can lead to alert fatigue and team burnout, while growing threat sophistication requires more judgment, flexibility, and nuance than traditional automation alone can provide.
Impact on organizations:
Slower response times and mean time to remediate (MTTR)
Missed or delayed critical threats
Analyst fatigue and burnout
2. Access control and approval workflows
What it is: Granting, reviewing, enforcing, and revoking network access for users and devices
Where it breaks down: Requests move across systems (like IAM, tickets, and security tools) and teams (like HR, IT, and security), often involving back-and-forth to understand user roles and business requirements before decisions can be made. Many requests are time-sensitive, but security teams often lack necessary real-time context. Inconsistent processes across systems and teams can lead to gaps in policy enforcement and missed steps that impact security, governance, and auditability.
Why it’s harder now: The shift to Zero Trust models requires continuous, dynamic validation using a broader mix of signals and systems than before, increasing the volume and complexity of access decisions teams must make. At the same time, approvals must be made quickly to support business resilience and operational needs across in-office and remote environments, with delays disrupting critical work. Access must be continuously monitored to catch over-permissioned accounts, which are a high-value target for attackers looking to expand their reach.
Impact on organizations:
Delays in access provisioning that impact productivity
Increased security risk from over-permissioning
Poor user experience and friction
3. Network configuration and change management
What it is: Updating firewall rules, network configurations, and infrastructure policies
Where it breaks down: Network configs and changes require coordination across teams, which can result in gaps in policy enforcement, missed steps, and human error. Manual validation and approval processes lead to slow implementation, while poor visibility makes it difficult to track who changed what and when.
Why it’s harder now: Increasingly distributed, hybrid, and complex infrastructure means teams must coordinate a higher volume of changes across more systems, all while maintaining consistency and minimizing business disruption. Over time, inconsistent processes and limited oversight can lead to misconfigurations and configuration drift, threatening availability and leaving organizations vulnerable to breaches. Misconfigurations currently account for 14% of breaches, according to Verizon’s DBIR, and threat actors are increasingly deploying AI to uncover and attack them faster. Burnt out and fragmented teams are more prone to human error, which IBM says is the cause of one in four data breaches.
Impact on organizations:
Slower change implementation
More frequent misconfigurations, configuration drift, and outages
Gaps in compliance and audit trails
The common thread: execution breaks between tools
The breaking points are the same across all three processes:
Work spans multiple systems
Humans act as the connector
Processes are inconsistent
The problem isn’t tooling. It’s execution. And as threats move faster, environments grow more complex, and teams struggle to keep pace, the cost of operational breakdowns and poor execution only increases.
Intelligent workflows are the missing operational layer
Intelligent workflows remove these bottlenecks. They enable network and security teams to orchestrate multi-step processes across tools, people, and environments from beginning to end. These unified workflows standardize execution across teams, reduce inconsistencies and errors, and maintain governance by automating approvals and creating audit trails, enabling organizations to execute reliably and at scale.
Intelligent workflows use:
Deterministic automation to handle highly predictable, reliable, and controlled tasks
Agentic AI to reason through ambiguity, pull context from multiple systems, and make decisions within guardrails
Humans-in-the-loop decision-making to handle high-impact, high-stakes tasks that require judgment and creativity
When combined, they give teams the flexibility, oversight, and control to apply the right approach to the right task, collaborate effectively, and extend their resources without adding headcount.
For example:
Alert triage and investigation → automate triage, enrichment, and prioritization across systems, enabling faster responses at scale and saving analyst resources for where they’re needed most
Access control and approvals → orchestrate approvals, validation, provisioning, and audit logging, accelerating access decisions and maintaining Zero Trust principles while reducing manual effort
Network config and change management → standardize changes, enforce approvals, and maintain audit trails, reducing the risks of configuration drift and misconfigurations and ensuring audit-readiness
Building resilience in the work between tools
In 2026, network security challenges aren’t just about threats. They’re about execution. As the security landscape becomes even more complex and fast-moving, the ability to execute reliably across systems will define effective network security teams.
The teams that move faster and reduce risk don’t just add more tools. Instead, they rethink the work between tools, improving coordination and flow to reduce manual effort, stay consistent at scale, and enhance security posture.