1) What are the top 3 skills that define a successful SOC Analyst or Detection Engineer in the current hiring landscape? Technical skill: Any programming language Soft skill: willingness to self-development / fast learner X-factor skill: big-picture thinking 2) How has the rise of AI changed the "minimum bar" for your team? AI era is changing SOC industry to a state where all triaging of alerts is done fully by automation and AI. AI decides whether particular event is worth displaying to SOC analysts and need to be tailored and enriched with context of other connected events forming incident cases. This way SOC analysts are required to be more experienced, big-picture thinking and capable of asking the right questions, be hypothesis-driven. --- You may publish my quotes with specifying my full name and position, but I am ready for some follow-ups.
Senior manager cybersecurity and operations at Infosprint Technologies
Answered 2 months ago
In-depth knowledge and hands-on XDR and SIEM, GCFA Certification Log analysis skills and experience on GRC frameworks X-Factor: get well-versed with the MITRE framework ( Tactics, Techniques, and Procedures) and TTP's.
From a hiring point of view, the difference between certified and capable candidates becomes clear very quickly during interviews and practical tests. Technical skill that matters most is real log analysis. A strong SOC analyst can look at firewall logs, endpoint alerts, or authentication records and quickly understand what is normal and what feels suspicious. Many candidates know tools by name, but fewer can walk through an alert step by step and explain what might actually be happening. The soft skill that stands out is calm problem solving under pressure. Security alerts often come in the middle of the night or during high stress situations. The people who succeed are the ones who stay focused, communicate clearly with the team, and avoid jumping to conclusions before checking the evidence. The X factor is curiosity. The best analysts naturally want to investigate things. If they see something slightly unusual in a log, they keep digging until they understand it. That instinct to explore and question small signals often leads to discovering real threats. AI has definitely raised the minimum bar. Many repetitive tasks like initial alert triage can now be assisted by AI tools. Because of that, analysts are expected to think more critically about context and patterns instead of only following playbooks. The role is shifting from simply reacting to alerts toward understanding attacker behavior and making smarter decisions. I would be open to a short follow up if needed, and the quote can be published as shared.
When talking about SOC analysts, there is a skills gap that separates the capable analyst from the certified analyst in the area of evidence-driven triage. An analyst capable of performing this triage would take an alert, validate whether the alert is real, pivot across the telemetry of endpoint, identity, cloud, and network, and explain what occurred in "plain English." The job market is also placing an increased emphasis on cloud security, security engineering, and security analysis, indicating that there is a shift away from monitoring dashboards and towards deeper levels of investigation. From the perspective of soft skills, a strong analyst demonstrates judgment in high-pressure situations. An analyst with these capabilities will remain calm, ask the next logical question, and provide the context when escalating issues rather than providing incorrect information. In a true SOC environment, the analysts that will ultimately be recognized as standouts will not be the analysts with the most extensive acronym collections but rather the analysts who reduce confusion when a signal appears to be unclear or when time is running out. Curiosity is the X-factor, and this is a trait that cannot be taught. The best detection engineers naturally gravitate toward unique details, challenge the obvious answer, and will not stop gathering evidence until they have a complete understanding of how and why something occurred. Given that modern detection engineering is continuing to evolve towards increased accuracy, automation, and improved use of data, the human edge will continue to be the way in which someone can identify evidence that the tooling will not pick up. With AI now having established a baseline for how to automate initial triage functions; if AI can summarize and enrich alerts with AI, as well as provide an initial summary of potential impact, then an entry-level analyst will already be behind the curve if they are not able to demonstrate the capabilities of verifying, challenging, and leveraging AI output to arrive at a defensible investigative conclusion. Organizations are transitioning to SOC workflows that use AI tools, and candidates evaluating their career paths will struggle if they cannot look beyond the basic tool for analytical purposes.
Q1: 1. Technical ability - The ability of the analyst to understand the relationship between the various channels and how they can be correlated is just as important as visually monitoring the dashboard, having an understanding of the underlying data structure across the entire stack. An experienced analyst can determine when an execution of a PowerShell script is related to an outbound connection that may not be visible by traditional SIEM rules. 2. Soft skills - During a breach, the ability of the analyst to effectively communicate the log data in a way that non-technical individuals can understand the impact of the breach, as well as providing context and clarity, is more important than the speed at which an analyst can complete their analysis. Clarity prevents unnecessary panic among key stakeholders. 3. X-factor - The intuition that causes the analyst to dig further into an alert that appears to be benign, simply because the context or timing of the alert is inconsistent with the analyst's experience. The x-factor is the ability of the analyst to detect and identify anomalies that cannot be taught through certification. Q2: The AI revolution has virtually eliminated the entry-level alert monitor or "alert monkey" role. Gartner has already predicted that by 2025, approximately fifty percent of all tier one SOC personnel will be eliminated, or that those positions will be drastically changed in terms of job function. As a result of the AI revolution, the hiring bar has shifted from monitoring to orchestration and validation. We no longer hire individuals for their ability to identify a known threat; we now hire based on their ability to perform an audit of the reasoning or decision made by an AI; and manage high-context, multi-stage attacks that, at present, AI is still having significant difficulty resolving. Building a SOC team today means finding people that can be effective in the gap between the machine and the adversary's intent. The AI is now handling the noise while the human continues to be the final and most critical audit in the overall defensive chain of a security organization.
From a hiring perspective, the cybersecurity market has no shortage of certified candidates. The real challenge is identifying people who can translate knowledge into practical judgment under pressure. In roles such as SOC Analyst or Detection Engineer, three capabilities tend to separate capable professionals from purely credentialed ones. Technical skill: The most valuable technical capability today is investigative thinking within security telemetry. Tools generate massive volumes of alerts, but strong analysts know how to trace signals across logs, endpoints, and network activity to understand what is actually happening. It is less about memorizing tools and more about knowing how to follow evidence through multiple layers of data. A capable analyst treats alerts as starting points for investigation, not final answers. Soft skill Clear communication is often underestimated in security roles. Analysts regularly need to explain complex threats to engineering teams, product leaders, or executives who may not have deep security backgrounds. The ability to translate technical findings into clear operational risk is what turns an investigation into a meaningful business decision. I often say that a strong analyst is part investigator and part storyteller. The X factor Curiosity is the trait that cannot be taught. The best analysts are naturally driven to understand why something happened, not just how to close a ticket. They explore anomalies, question assumptions, and continuously learn from new attack patterns. That mindset makes the difference between someone who reacts to incidents and someone who anticipates them. AI has also changed the minimum bar for security teams. Many early stage analysis tasks can now be assisted by automation and AI driven pattern recognition. Because of that, organizations increasingly expect analysts to bring higher level reasoning and contextual judgment. AI can surface signals, but it cannot fully replace human interpretation when a security event intersects with business operations. One perspective I often share is this: "AI may help detect the signal, but it still takes human curiosity and judgment to understand the story behind it." Quote may be published as provided. Website: https://www.wisemonk.io/
As CEO of a software house that builds security-sensitive applications for enterprise clients, I have been directly involved in hiring and evaluating SOC analysts and detection engineers for both our internal security team and our clients' organizations. Here are the three skills that separate the truly capable candidates from the merely certified ones. The top technical skill is log analysis and query writing across multiple SIEM platforms. I do not mean knowing how to click through a dashboard. I mean the ability to write complex queries in KQL, SPL, or similar languages to hunt for anomalies that automated rules miss. The candidates who impress us can take a vague hypothesis about suspicious behavior and translate it into a precise query that either confirms or eliminates the threat within minutes. The essential soft skill is clear written communication under pressure. A SOC analyst who detects a critical threat but cannot articulate the findings in a way that non-technical stakeholders understand and act on is only doing half the job. The best analysts we have hired can write incident reports that a CFO can understand while simultaneously maintaining the technical precision that the engineering team needs. The X-factor that cannot be taught is genuine adversarial curiosity. Some people naturally think like attackers. They look at a system and immediately start wondering how they would break it. This mindset is fundamentally different from someone who learned a checklist of vulnerabilities. You can spot it in interviews by presenting an unfamiliar system and asking the candidate to describe how they would approach compromising it. The ones with this instinct light up and start asking probing questions rather than reciting frameworks. Regarding AI, the minimum bar has shifted significantly. Candidates now need to understand how to work alongside AI-powered detection tools rather than compete with them. The analysts who thrive are those who use AI to handle the noise and focus their human judgment on the edge cases that automated systems flag but cannot resolve. I am open to follow-up questions on this topic.
The most effective SOC Analysts currently in practice aren't the ones with extensive credentials; rather, they demonstrate a proficiency with the precise timing in moving from alert to decision-making. In my opinion, the technical skill that stands out is their ability to analyze logs across endpoint, identity and cloud, which will provide analysts the ability to determine what constitutes noise versus an actual attack vector. In my opinion, the soft skill that demonstrates this ability is the proficiency in communicating clearly; if they cannot articulate risk and next steps in layman's terms, the overall timeline to respond to an incident will be delayed. The X-factor is their display of curiosity when working under pressure, which is their tendency to dig deeper without being asked. As a result, AI is now the new minimum standard for SOC Analysts, as entry-level analysts are no longer in the same market as others who rely on manual review of alerts; rather, all entry-level analysts are now engaging in AI-assisted review of alerts. As such, the new minimum standard for entry-level SOC Analysts is the ability to validate the output of AI; identify when the output has been based on incorrect assumptions; and ask more meaningful questions than the output of AI.
In today's hiring landscape for SOC Analysts and Detection Engineers, two key skills are vital: threat hunting proficiency and strong analytical skills. Candidates must excel in proactively identifying malicious activities within networks using tools like SIEM systems. This expertise allows them to detect anomalies, such as unusual outbound traffic indicating data exfiltration. Such skills showcase not only technical knowledge but also the ability to analyze real-world attack scenarios effectively.
Successful SOC Analysts or Detection Engineers need strong technical skills in threat analysis and incident response, including familiarity with SIEMs and intrusion detection systems. They must be adept at analyzing logs and alerts to identify security threats. For instance, during an affiliate marketing campaign, they should recognize unusual traffic patterns that could signal a DDoS attack or data exfiltration, ensuring timely and effective incident management.