Key Takeaways
- 59% of security teams report critical skills shortages in 2025, according to ISC2. The gap is about capability, not headcount.
- The manual triage that AI now handles was the primary training ground for junior analysts. Removing it without replacing the learning creates a deeper problem over time.
- Senior threat hunters think differently because they ask better questions and use more context. Those habits are teachable with the right tools.
- AI that explains its reasoning turns every live investigation into a skill building moment for junior analysts.
- Secure.com gives L1 analysts the guided context and structured investigation support they need to grow into stronger investigators faster.
Why Your L1 Analysts Think Like Beginners (And How to Fix That Fast)
Consider: 59% of security teams report critical skills shortages in 2025, up from 44% the year before (ISC2). According to the ISC2 2025 Cybersecurity Workforce Study, 59% of security teams report critical or significant skills shortages, up from 44% just a year before. And the gap is not about headcount. It is about what people know how to do.
The Skills Gap That AI Accidentally Created
AI is taking over triage. That sounds like a win, and in many ways it is. But here is what most teams do not talk about: the triage work that AI now handles was the same work that used to teach junior analysts how to think.
What L1 Analysts Used to Learn from Manual Triage
Before AI tools took over the queue, L1 analysts spent their days reading raw logs, reviewing endpoint timelines, and sorting through thousands of alerts by hand. That repetitive work was frustrating, yes. But it was also a classroom.
Analysts learned to recognize the difference between a misconfigured service and an actual intrusion. They built pattern recognition by seeing the same attack signatures dozens of times. They learned what normal looks like, so they could spot what is not. SOC teams face over 1,000+ alerts per day with 70% ignored due to volume, according to industry research (IDC/SANS). That volume used to be the training ground.
What Happens When That Work Gets Automated Away
When AI removes the repetitive work, it also removes the exposure. Junior analysts show up, pass alerts to automation, and never touch the raw investigation that builds real skills. The path from L1 to L3 gets longer, blurrier, and harder to walk.
According to SANS, 50% of organizations still cite a shortage of skilled threat hunting personnel as a major obstacle. The tools got smarter. The people did not get the chance to keep up. Organizations retain up to 25% more junior analysts when they invest in structured mentorship, according to Splunk research. Most teams are not doing that.
What Senior Threat Hunters Actually Do Differently
It is not experience alone that separates a senior threat hunter from an L1 analyst. It is a set of habits that took years of exposure to build. The good news is that those habits can be taught much faster with the right support.
They Ask Better Questions Before They Look at the Data
Senior analysts do not open an alert and start clicking. They form a hypothesis first. They ask what an attacker would be trying to accomplish, where they would move next, and what evidence that movement would leave behind. That framing shapes every step of the investigation.
Most L1 analysts skip this step because no one taught them to do it. They react to what the alert says instead of thinking about what the alert means. That single difference accounts for most of the gap between a junior and senior analyst.
They Use Context, Not Just Signals
A senior analyst does not treat an alert as a standalone event. They pull in the asset behind the alert, the user’s access history, recent threat intelligence, and related activity from other tools. They correlate. They build a picture.
L1 analysts often lack access to that full picture. They are working with one slice of data in one tool. The context that makes an alert meaningful is sitting in three other platforms they have to open separately. That manual pivot process slows learning and slows response.
AI-assisted investigations are 45% faster for cloud security alerts and 61% faster for identity and access alerts, according to a 2025 Cloud Security Alliance benchmark study covering 148 SOC analysts.
How AI Closes the Gap Without Replacing the Analyst
Automating triage does not have to mean removing the learning. The right AI tools do not just resolve alerts. They explain them. They show the analyst what was found, why it matters, and what a trained investigator would look at next.
Real-Time Guidance During Live Investigations
When AI surfaces the reasoning behind a decision, not just the outcome, junior analysts absorb it in real time. They are not reviewing a closed case after the fact. They are watching a live investigation unfold with context attached to every step.
This approach closes the mentorship gap without requiring a senior analyst to be available at all hours. L1 analysts can work through real incidents with structured input guiding them, building investigative habits faster than any training course could.
Context Delivered Automatically at the Right Moment
The instincts that senior analysts have were built on context. They know what to look for because they have seen the same combinations of signals hundreds of times. When AI delivers that context automatically, what took years of exposure can happen in months.
Asset value, user behavior, threat intel, and historical incident data should appear before the analyst even has to ask. That is not just faster triage. That is how you build pattern recognition at scale.
How Secure.com Helps L1 Analysts Think Like Senior Threat Hunters
Secure.com built its Digital Security Teammate, Alex, to be more than an alert machine. Alex gives L1 analysts the context, the structure, and the investigative depth they need to operate like the experienced analysts your team cannot always afford to hire.
Here is how Secure.com addresses the problem directly:
- Alex handles L1 triage, enrichment, and correlation automatically with human-in-the-loop approvals for high-impact actions, so analysts arrive at the decision point with full context instead of raw noise.
- Guided investigation workflows teach repeatable habits that mirror how senior analysts approach an alert, turning every case into a training moment.
- Junior analysts working with Alex handle up to 3x more alerts with full context and guided workflows, according to Secure.com’s internal benchmarks.
- Senior analysts shift from mentoring and babysitting escalations to proactive threat hunting, which is the work they were hired to do.
- The platform integrates with existing SIEM, EDR, and ticketing tools, so there is no ramp-up period or new learning curve for the team.
Conclusion
The gap between an L1 analyst and a senior threat hunter is not about intelligence or potential. It is about structured exposure to real investigations with real context. That used to take years. With the right AI-powered tools, it does not have to. Secure.com gives every analyst on your team the support to investigate more confidently, grow faster, and operate at a level your security program actually needs.
FAQs
Why do L1 analysts struggle to develop threat hunting instincts?
Most L1 analysts are stuck processing alerts in bulk without ever working through a full investigation. Threat hunting requires pattern recognition built from deep exposure to real incidents. Without that exposure, the skill does not develop on its own.
Can AI actually teach investigation skills, or does it just automate them?
Both, when built the right way. AI tools that explain their logic, surface relevant context, and walk analysts through investigation steps do more than speed up the work. They show analysts what a well-structured investigation looks like in practice, which builds real capability over time.
Will automating L1 tasks eliminate junior analyst roles?
No. The demand for skilled human analysts is growing fast. The Bureau of Labor Statistics projects 29% job growth for information security analysts from 2024 to 2034. What automation changes is what junior analysts spend time on, not whether they are needed.
How quickly can a junior analyst start performing at a higher level with AI support?
Teams using AI-guided investigation tools typically see meaningful improvement within weeks. AI-assisted investigations are already 61% faster for identity-related alerts, according to the Cloud Security Alliance. The speed of learning increases when analysts work on real incidents with real guidance.
How does Secure.com support analyst growth alongside SOC automation?
Secure.com’s Digital Teammate, Alex, does not just close cases. It surfaces context, guides analysts through the investigation process, and builds the kind of structured thinking that separates reactive triage from genuine threat hunting.
