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Introduction: The Hidden Struggle Inside Modern Security Operations Centers
Cybersecurity has become one of the most critical pillars of modern business operations. Every day, Security Operations Centers (SOCs) stand on the frontlines defending organizations against ransomware attacks, data breaches, nation-state campaigns, insider threats, and increasingly sophisticated cybercriminal groups. Yet while organizations continue investing heavily in advanced security technologies, a more fundamental problem is quietly growing beneath the surface: a shortage of skilled cybersecurity professionals.
The latest 2026 SANS SOC Survey reveals a striking reality. While executives believe they are adequately addressing staffing and retention concerns, many frontline analysts disagree. At the same time, artificial intelligence is rapidly entering SOC environments, creating both opportunities and new operational risks. The findings paint a picture of security teams caught between growing threats, talent shortages, and the challenge of integrating emerging technologies effectively.
Staffing Remains the Number One SOC Challenge
According to the 2026 SANS SOC Survey, staffing shortages remain the biggest operational challenge facing Security Operations Centers worldwide.
The survey gathered insights from 444 security practitioners actively involved in monitoring and security operations roles, alongside 69 CISOs and senior cybersecurity executives. Among practitioners, 14% identified staffing shortages as their most significant challenge, making it the highest-ranked concern overall.
Cybersecurity talent remains scarce despite years of industry warnings. Organizations continue to struggle with recruiting experienced analysts, retaining top performers, and preventing burnout among existing teams. SOC analysts often face long hours, alert fatigue, and the pressure of responding to increasingly complex attacks, creating an environment where employee turnover becomes a persistent problem.
The Leadership Perception Gap Continues to Grow
One of the most revealing findings from the report is the ongoing disconnect between executive leadership and frontline security teams.
Nearly 59% of cybersecurity leaders believe management pays close attention to SOC hiring and retention needs. However, only 32% of practitioners share that view. This creates a substantial 27-point perception gap that has remained consistent throughout multiple years of SANS research.
The difference highlights a common challenge in cybersecurity governance. Executives may approve hiring initiatives and discuss staffing concerns at strategic meetings, while practitioners evaluate success based on actual outcomes such as reduced workloads, faster hiring cycles, and improved team retention.
As the report notes, executives often describe organizational intent, while practitioners measure operational reality. The distance between those perspectives frequently becomes the breeding ground for retention issues and employee dissatisfaction.
Management Awareness Is Improving but Challenges Remain
Despite the disagreement, the survey suggests that both sides may be closer in their understanding than initial figures indicate.
Approximately 22% of cyber leaders acknowledged that management listens to staffing concerns but fails to fully understand their urgency. Another 14% admitted that management does not engage with SOC staffing requirements at all.
These findings suggest that awareness exists in many organizations, but translating awareness into action remains difficult. Budget limitations, lengthy hiring processes, and competition for skilled cybersecurity professionals continue to slow progress.
The cybersecurity industry is experiencing a paradox where demand for talent continues to rise faster than the available workforce can grow.
SIEM Skills Dominate Hiring Priorities
When organizations seek new SOC talent, Security Information and Event Management (SIEM) expertise remains the most desirable skill set.
Demand for SIEM-related capabilities is nearly double that of Endpoint Detection and Response (EDR) expertise. This is particularly interesting because operational reality tells a different story.
The survey found that 86% of daily SOC responses originate from endpoint security alerts, while only 78% are generated from SIEM platforms.
This imbalance suggests that hiring priorities may still be influenced by traditional SOC architectures. While SIEM platforms remain central to many security programs, endpoint security increasingly serves as the primary battlefield where threats are detected and contained.
Organizations may need to rethink future hiring strategies to better align talent acquisition with actual operational demands.
AI Is Rapidly Transforming SOC Operations
Artificial intelligence has become one of the most disruptive forces in cybersecurity, and SOC environments are no exception.
The survey revealed that 79% of respondents currently use AI or machine learning tools in some capacity. However, only 36% have formally integrated these technologies into structured SOC workflows.
This discrepancy highlights an important trend. Security analysts are experimenting with AI faster than organizations can establish governance frameworks around its use.
Many teams are adopting AI tools independently to assist with investigations, threat analysis, alert triage, and reporting. While this can improve productivity, it also introduces consistency and validation challenges.
Without clear policies and oversight, AI-generated results may influence security decisions without proper verification.
Organizations Prefer Vendor-Provided AI Solutions
Most organizations are taking a cautious approach toward AI implementation.
The survey found that 38% rely on vendor-provided AI capabilities without customization. Another 31% customize existing AI tools, while only 20% develop proprietary AI solutions internally.
This approach reflects practical realities. Building AI systems from scratch requires significant expertise, infrastructure, and ongoing maintenance. Most SOCs prefer leveraging capabilities already embedded within security platforms rather than investing in custom development.
However, relying exclusively on vendor tools can create limitations, particularly when organizations require specialized workflows tailored to unique threat environments.
Human Oversight Remains Essential
Despite growing enthusiasm surrounding AI, the survey emphasizes that human expertise remains irreplaceable.
SANS researchers warned that unstructured AI adoption creates operational inefficiencies and introduces risks associated with unverified outputs. Artificial intelligence can accelerate analysis and automate repetitive tasks, but it cannot fully replace the judgment, intuition, and contextual understanding of experienced security professionals.
Human analysts remain critical for validating findings, interpreting complex attack patterns, and making high-stakes security decisions.
The future SOC is increasingly likely to become a collaborative environment where AI handles routine analysis while humans focus on strategic investigations and incident response.
Cyber Threat Intelligence Still Has Untapped Potential
The survey also highlighted significant gaps in how organizations utilize Cyber Threat Intelligence (CTI).
While 74% of cyber leaders employ threat intelligence for security operations and threat hunting activities, only 26% use it to influence budgeting and strategic investment decisions.
This suggests many organizations view CTI primarily as a technical function rather than a business intelligence resource.
When properly leveraged, threat intelligence can help leaders prioritize investments, identify emerging risks, and align cybersecurity spending with real-world threat landscapes.
Failing to integrate CTI into executive decision-making limits its overall value.
OT and IoT Security Coverage Remains Weak
Another concerning finding involves Operational Technology (OT) and Internet of Things (IoT) environments.
Less than half of surveyed organizations, approximately 45%, reported fully or partially monitoring OT and IoT assets through their SOC.
This visibility gap is becoming increasingly dangerous as organizations deploy more connected devices, industrial control systems, and smart infrastructure.
Attackers are increasingly targeting operational environments because disruptions can directly impact manufacturing, healthcare, transportation, and critical infrastructure operations.
Without comprehensive monitoring, many organizations may be exposed to threats they cannot detect until significant damage occurs.
SOC Metrics Continue to Focus on Volume Instead of Value
Measurement remains one of the
For ten consecutive years, the most commonly reported SOC metric has been the number of incidents handled.
While this metric provides insight into operational workload, it says little about actual business impact. High incident volumes do not necessarily indicate strong security performance.
Modern SOCs increasingly need metrics that demonstrate risk reduction, threat containment effectiveness, business resilience improvements, and financial impact mitigation.
Executives are far more likely to support security investments when outcomes are linked directly to business objectives.
What Undercode Say:
The 2026 SANS SOC Survey exposes a fundamental reality that many organizations have been reluctant to confront for years.
The cybersecurity industry does not have a technology problem.
It has a people problem.
Organizations continue investing millions into SIEM platforms, EDR solutions, threat intelligence feeds, cloud security tools, and now AI-powered detection systems.
Yet the individuals responsible for operating these technologies remain overstretched.
The persistent 27-point perception gap between executives and practitioners is perhaps the most important statistic in the entire report.
Technology gaps can be fixed through procurement.
Talent gaps require cultural change.
When leadership believes staffing concerns are being addressed while frontline analysts continue reporting shortages, the issue is no longer hiring.
It becomes communication.
The rise of AI introduces another fascinating layer.
Nearly 80% adoption sounds impressive.
However, only 36% of organizations have established structured workflows.
That means many analysts are effectively conducting independent AI experiments inside production security environments.
This mirrors what occurred during the early cloud computing era.
Technology adoption moved faster than governance.
The result was shadow IT.
Today, organizations risk creating shadow AI.
The SIEM versus EDR hiring discrepancy also deserves attention.
Most incidents originate from endpoint alerts.
Yet hiring demand remains heavily concentrated around SIEM expertise.
This suggests hiring strategies may still reflect yesterday’s security architecture instead of tomorrow’s threat landscape.
Meanwhile, OT and IoT monitoring gaps represent a future crisis waiting to happen.
As industrial systems become more connected, attackers gain new pathways into critical infrastructure.
Organizations failing to monitor these assets today may face significantly larger security incidents tomorrow.
The
Counting incidents handled is similar to measuring hospital performance solely by patient volume.
Quantity does not equal effectiveness.
Modern cybersecurity leaders must demonstrate business value, not simply operational activity.
Perhaps the most significant lesson is that AI is not replacing SOC analysts.
Instead, AI is exposing how valuable skilled analysts truly are.
The more automation enters security operations, the greater the need for professionals capable of validating, interpreting, and challenging machine-generated conclusions.
The cybersecurity workforce shortage may therefore become even more important in the AI era rather than less.
Organizations that view AI as a replacement strategy could face disappointing outcomes.
Organizations that view AI as a force multiplier for human expertise are likely to gain the greatest advantage.
The future SOC will not be human-only.
Nor will it be AI-only.
It will be a carefully balanced partnership between intelligent automation and experienced defenders.
The organizations that master that balance first will likely define the next generation of cybersecurity operations.
Deep Analysis: SOC Maturity Through a Technical Lens
A mature SOC increasingly relies on automation, visibility, and rapid investigation capabilities.
Common Linux commands used during incident investigations include:
ps aux top htop netstat -tulpn ss -tulpn lsof -i journalctl -xe systemctl status last who w cat /var/log/auth.log grep "Failed password" /var/log/auth.log find / -perm -4000 crontab -l iptables -L ufw status tcpdump -i eth0 nmap localhost sha256sum suspicious_file strings malware_sample file malware_sample
Advanced SOC teams frequently automate these investigations using SOAR platforms integrated with SIEM, EDR, threat intelligence feeds, and AI-powered enrichment engines.
As AI becomes more embedded into workflows, SOC maturity will increasingly depend on the ability to validate automated decisions, maintain visibility across hybrid environments, and correlate endpoint, network, cloud, and OT telemetry in real time.
Organizations lacking these capabilities may struggle to keep pace with modern threat actors.
Prediction
(+1) 🚀 AI-assisted SOC platforms will become standard across enterprise environments within the next three years, significantly reducing alert fatigue and improving analyst productivity.
(+1) 📈 Organizations that successfully combine AI automation with human expertise will experience faster incident response times, stronger threat detection rates, and improved retention of cybersecurity professionals.
(-1) ⚠️ Companies that deploy AI without governance frameworks may face increased operational risks, including inaccurate threat assessments, compliance issues, and overreliance on unverified machine-generated conclusions.
(-1) 🔥 OT and IoT visibility gaps will likely become a major source of security incidents as connected infrastructure continues expanding across critical industries.
✅ The survey identifies staffing shortages as the leading operational challenge reported by SOC practitioners.
✅ A significant perception gap exists between executives and practitioners regarding management attention to hiring and retention concerns, with a documented 27-point difference.
✅ AI adoption is widespread across SOC environments, but structured governance and workflow integration remain relatively immature, supporting concerns about validation, oversight, and operational consistency.
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References:
Reported By: www.infosecurity-magazine.com
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