The cybersecurity battlefield evolves daily, with SOC analysts serving as front-line defenders. After years of training SOC teams, I’ve identified 11 core skills that separate effective defenders from the rest.

Here’s the problem: we’re training analysts to look for needles in haystacks when they don’t even know what hay looks like. Too many enter SOC positions without understanding the systems they’re trying to protect.

1. Understanding Operating Systems

You can’t defend what you don’t understand. Period. Master both Windows and Linux. Not just surface stuff, but really get how they work under the hood. Learn through the incident response lens:”If this system were hacked, how would I find the bad guys?”

2. Network Traffic Analysis

Understand TCP/IP and how traffic actually flows (the OSI model matters less than knowing what a SYN flood, DNS tunnel, or C2 beacon looks like on the wire). Know the difference between TCP and UDP, and establish baselines for what normal traffic looks like in your environment.

3. Memory Analysis

Memory forensics shows you malware that might be invisible on disk. Tools like Volatility let you examine processes, connections, and DLLs from a memory dump. This works even when attackers delete their tools or use fileless malware. It’s like catching someone with their hand in the cookie jar.

4. Log Analysis

Logs are your investigative breadcrumbs. Know which ones to collect and how to make sense of them. Remember, no single log tells the whole story. You need to connect multiple data points, like a detective piecing together clues at a crime scene.

5. Endpoint Detection and Response

Master your EDR solutions. Understand how they work, what they can do, and where they fall short. No EDR catches everything. You need to tune these tools, like adjusting the sights on a rifle for better accuracy.

6. Threat Hunting

Don’t just sit back waiting for alerts. Get out there and hunt! Look for threats that slipped past your automated systems. Combine smart hypotheses with data analysis to find attackers living off the land, using legitimate tools for evil purposes.

7. Malware Analysis

Every SOC analyst should know basic static and dynamic analysis. Look at the file without running it, then observe its behavior in a safe sandbox. Learn to spot common techniques like obfuscation and persistence. Know thy enemy, right?

8. Vulnerability Management

Understand different vulnerability types and how they’re exploited. Don’t just focus on CVSS scores. Consider actual exploitability in your environment and the potential impact. A “critical” vulnerability that can’t actually be exploited in your environment isn’t critical for you.

9. Incident Response

When stuff hits the fan, know what to do. Identify what happened, contain it, kick out the attackers, and recover your systems. Document everything. Not just for compliance, but so your team can learn and improve.

10. Automation and Scripting

Automate the boring stuff with PowerShell, Python, or Bash. Create tools that do the repetitive work for you. This frees you up to focus on the complex problems that need human brainpower.

11. Communication and Documentation

Technical skills alone won’t cut it. You need to explain complex technical stuff to different audiences. The most brilliant analysis in the world is useless if you can’t make the bosses understand why they should care.

Conclusion

Mastering these skills won’t happen overnight, but they’re the foundation of being an effective SOC analyst. What makes great analysts stand out isn’t just knowing individual skills but connecting dots across domains: seeing how network traffic ties to endpoint behavior, when log weirdness might point to memory-resident malware, and how vulnerabilities create openings for attackers

By building these core skills, you’ll be ready to protect your organization against even the nastiest threats out there..

Here’s a counterintuitive truth: the ultimate goal of threat hunting isn’t to find more security incidents—it’s to drive continuous improvement across your entire security program. We’re not hunting merely to find present bad; we’re hunting to decrease the probability of future bad.

Think of it like debugging. You don’t debug just to find bugs—you debug to build better software. Each bug you find teaches you something about your system, improves your testing, and makes future bugs less likely. Threat hunting works the same way.

The Cyclical Nature of Threat Hunting

Every threat hunting framework can be thought of as a cycle that improves with every revolution.

Step 1: Determine Your Focus

The biggest challenge in threat hunting? Answering this question: “Where do we even start?” You can’t just randomly poke around in logs hoping to find something interesting. You need a method to focus your efforts.

The good news is that there are several effective approaches, and you don’t have to pick just one. In fact, most mature programs blend approaches over time.

Hypothesis-driven hunting starts with an educated guess, perhaps informed by the latest threat intelligence. Maybe something like, “I bet adversaries are using scheduled tasks for persistence on our web servers.”

Baseline hunting flips the question entirely: instead of rooting around for specific threats, you map what “normal” looks like in your environment, then investigate anything that doesn’t fit the pattern.

Statistical analysis tools like RITA let you approach those patterns from yet another angle. They surface statistically weird behaviors and connections, giving you a prioritized list of anomalies to consider and maybe investigate.

Machine learning models can highlight specific events that deviate from learned baselines, essentially saying “start here” with confidence scores attached.

Step 2: Investigation

The real detective work happens here. Investigation is iterative and rarely linear. You start broad, progressively narrow your focus by filtering out known-good activity, and follow interesting patterns wherever they lead. One scheduled task leads to a user account, which leads to authentication logs, which leads to source IPs, which leads to ... you get it.

The “art” is knowing which threads to pull and which to drop. Something can be technically anomalous but contextually benign, like a DBA running weird queries at 2 AM because production is on fire.

Step 3: Discovery and Analysis

Eventually you reach a conclusion. Maybe you found a threat. Awesome! Now hand it to incident response.

But maybe, or most likely in fact, you found nothing…

Here’s the critical mindset shift: finding nothing isn’t failure. It’s validation—discovery of a different kind, even. A thorough hunt might confirm that your defenses are working and that an attack isn’t happening (win!). Or it might reveal that a detection you thought existed doesn’t, or that it’s misconfigured and wouldn’t fire even if the attack happened (also a win because now you know what to fix).

Approached with this mindset, any outcome is a win, and every hunt ultimately makes you more secure.

Step 4: Knowledge Refinement and Improvement

This is where threat hunting transforms from investigation into force multiplication. Everything you’ve learned feeds back into your security program:

• Create detection rules so you don’t have to manually hunt for the same thing again.
• Document baselines about normal behavior in your environment.
• Share knowledge with your team and the wider community (Document!).
• Generate new hypotheses for the next hunt (Back to Step 1...).
• Close visibility gaps you discovered.
• Measure and communicate your program’s value.

This phase is what makes hunting a continuous improvement engine. Each excursion expands detection coverage, deepens environmental knowledge, sharpens hunting skills, and strengthens overall security posture.

The Self-Improving Loop

The real power of this hunting “loop” is its cumulative nature. Your first few hunts might feel slow and uncertain. But knowledge accumulates. Patterns become obvious. Investigation approaches become routine. Organizations committed to sustained hunting programs often hit critical mass around 12–18 months, where value accelerates dramatically.

Remember: You’re not just looking for today’s threats. You’re building tomorrow’s defenses. Every rotation improves your skills, the program, and the rotations themselves. That’s the threat hunting flywheel.

Here's the deal: when adversaries compromise your environment, they don't float around in abstract network flows. They execute on actual systems. They touch files, spawn processes, and mess with registries.

The premise of endpoint threat hunting is simple: if an adversary wants to accomplish anything meaningful, they must eventually execute code on a host. That execution leaves traces.

The Endpoint Advantage: Depth and Context

Endpoint hunting gives you deep, contextual visibility into adversary behavior. You're not inferring what happened from network packets; you're seeing exactly what processes ran, which files were touched, and what registry keys got modified.

Consider credential theft. An adversary running Mimikatz operates entirely in host memory and local file systems. Network detection might catch the tool's delivery, but it won't see the actual credential extraction. Endpoint telemetry captures the process execution, memory access patterns, and specific API calls—providing detection plus meaningful context.

The endpoint also provides crucial user and process context that network data lacks. Suspicious PowerShell execution? Endpoint telemetry tells you which user ran it, what parent process spawned it, what command-line arguments were used, and what it created. This process tree visibility is fundamental to understanding adversary techniques and distinguishing malicious from legitimate activity.

Your Visibility Stack

Effective endpoint hunting requires comprehensive telemetry:

Sysmon is remarkably powerful. This free Microsoft utility generates detailed logs covering process creation, network connections, file changes, registry modifications, and more. When properly configured, it can provide serious, high-fidelity visibility without the EDR price tag.

PowerShell Script Block Logging captures actual commands executed in PowerShell sessions. Given how heavily adversaries rely on PowerShell, these logs are invaluable.

Windows Event Logs provide foundational telemetry. Universally available, they often contain the first indicators that something's off.

Velociraptor brings digital forensics and incident response to scale. This open-source tool lets you hunt across thousands of endpoints simultaneously, collecting artifacts and running detection queries in real-time.

Wazuh provides centralized collection and analysis of endpoint telemetry. While not as feature-rich as a commercial EDR, it aggregates logs from multiple sources, applies detection rules, and gives you a hunting interface across your environment.

EDR platforms have their place, but you don't need expensive tools to start hunting. OS-native telemetry and open-source tools get you remarkably far.

What Endpoint Hunting Misses

External C2 communications present major challenges for endpoint detections. While endpoint tools capture network connections made by processes, they don't deeply inspect connection content. An adversary using encrypted C2 channels generates connections that endpoint logs record, but the malicious nature is often only apparent through network traffic analysis.

Lateral movement patterns across your environment are tough from a purely endpoint perspective. Network monitoring provides this visibility more naturally.

Living Off the Land: The Real Challenge

Modern adversaries "live off the land," using legitimate system tools (PowerShell, WMI, certutil) for malicious purposes. These processes are inherently legitimate; that is, endpoint telemetry shows their execution, but distinguishing malicious from benign requires understanding normal patterns and identifying behavioral anomalies.

This is where endpoint hunting earns its keep. Automated signatures struggle with legitimate tools. But hunters who understand both legitimate uses and adversary abuse patterns can spot differences. Legitimate admins rarely use certutil to download files. PowerShell downloading from pastebin is unusual.

The endpoint's rich context (command-line parameters, parent processes, user context) provides the clues needed to distinguish malicious from benign.

The Endpoint Imperative

Despite limitations, endpoint threat hunting remains essential. Adversaries must execute code, access files, and modify systems. These actions occur on endpoints and generate endpoint artifacts.

The depth that endpoint data provides is unmatched. For detecting privilege escalation, credential theft, defense evasion, and persistence, endpoint hunting isn't just useful—it's necessary. These tactics involve no network activity that distinguishes them from legitimate behavior.

The question isn't whether to invest in endpoint threat hunting, but how comprehensively you can implement it. Because in the assumed breach world we inhabit, adversaries are executing on your systems right now. Endpoint hunting is how you find them.

Imagine you are a soldier on the front lines, moving through hostile terrain with only your training, tools, and instincts. That's what threat hunting in cybersecurity feels like. You're not waiting in a bunker for alarms to sound; you leave the wire, patrol the area of operations, and look for signs of the enemy before they strike.

A traditional SOC analyst is a watchtower guard: when an alarm goes off, you investigate, confirm, and respond. A threat hunter is the scout team. Your mission begins when everything appears quiet. You assume the adversary is already inside the wire, moving carefully to avoid detection, and your job is to search the terrain, uncover indicators of intrusion, and expose what automated systems miss.

The Ten Battlefield Principles of Threat Hunting

1. If you were the enemy, where would you hide? Every hunt begins by adopting the minset of the adversary—considering their objectives, prioritized systems, likely blind spots, and possible routes for remaining unseen.

2. Your job is tracking. Threat hunters scrutinize logs, processes, authentication paths, and network flows like scouts reading disturbed ground or broken vegetation. You're searching for what's out of place or subtly altered.

3. You create a hypothesis. A hypothesis defines what you expect to see if an adversary is present, giving the hunt direction and preventing aimless data trawling.

4. You move through the environment tactically. You progress methodically through hosts, logs, and authentication records, validating your hypothesis step by step, and carefully documenting your findings.

5. Intelligence guides the hunt. Threat intelligence, prior incidents, and known TTPs (tactic, techniques, and procedures) shape your approach, just as scouts rely on maps, reconnaissance, and mission briefs.

6. Your tools are your weapon systems. SIEM queries, EDR telemetry, packet captures, forensic utilities, and scripting tools are your rifles, optics, and radios. Mastery of them determines how effectively you can uncover hidden activity.

7. You respect the enemy. Adversaries are adaptive and quiet, hiding in normal traffic and shifting tactics quickly. Respect for their capability keeps you vigilant and prevents complacency.

8. When you find something, you call it in. Threat hunters identify, analyze, and escalate findings. Once hostile activity is uncovered, incident response then takes over, just as scouts report contact so their unit can quickly act.

9. The battlefield changes, and you must adapt. Technology shifts, environments evolve, and infrastructures change. Adversaries adjust accordingly, and so must you, by continuously refining techniques, revising hypotheses, and ever tuning your approach.

10. Above all, threat hunting demands a warrior mindset. Patience, curiosity, discipline, and resilience are essential. You operate in uncertainty, seek the subtle, and work where visibility is low and risk is high.

Threat hunting is not a passive role. It requires intent, stealth, and a willingness to move beyond alerts into uncertainty. By taking on the mindset of the adversary, reading the terrain, and acting with discipline, threat hunters find what the automated systems cannot.

The Pyramid of Pain: Knowing and Exploiting Your Adversary's Weak Points

The Pyramid of Pain analogy shows the hierarchy of difficulty an attacker faces when changing certain indicators and how forcing them to do so is likely to disrupt their operations.

Hash Values These are the most easily modified indicators for an adversary. A file hash changes in seconds. Hunting for hashes is like searching for footprints in loose sand.

IP Addresses Attackers replace IPs frequently because they're disposable and easily rotated. Burning an IP, in practice, disrupts nothing beyond temporary infrastructure.

Domain Names Domains require more effort to rebuild, but adversaries often maintain many of them. Forcing a domain change creates friction but doesn't significantly impair strategy.

Network and Host Artifacts These unusual processes, persistence mechanisms, registry changes, and lateral movement patterns reveal the enemy's hands-on work. Replacing them requires careful planning and technical effort, creating real operational pressure.

Tools Adversary tools like Cobalt Strike, Sliver, Impacket, and custom malware represent major investment. Exposing or disrupting them forces adversaries to retool, redesign workflows, and rebuild capabilities.

Tactics, Techniques, and Procedures TTPs are the enemy's doctrine and operational style. Disrupting TTPs applies serious pressure on them to rethink strategy, retrain operators, and redesign campaigns.

While this battlefield may be digital, the mission is the same: detect the enemy early, deny them freedom of movement, communicate new intelligence, and protect what matters before the first alarm ever sounds.

A group of leading House Democrats introduced legislation Monday requiring the Cybersecurity and Infrastructure Security Agency to conduct an assessment of its workforce to determine whether it’s up to the task after the exit of around 1,000 employees during President Donald Trump’s second term.

The concept of a force structure assessment is more common in military branches, including one that Congress previously ordered for Cyber Command. The CISA Force Structure Assessment Act would order the agency to carry out a review of whether the agency still has the necessary personnel, training and certifications after budget cuts and other Trump-era departures.

“America’s cyber defenses are only as strong as the people behind them,” Rep. James Walkinshaw, the Virginia Democrat serving as lead sponsor of the bill, said in a news release. “As cyber threats grow more sophisticated and technologies like artificial intelligence and quantum computing reshape the threat landscape, Congress needs a clear accounting of whether CISA has the workforce, skills, and resources required to keep Americans safe and enable mission delivery. This legislation will identify critical gaps and give Congress concrete information to address them.”

Also sponsoring the bill are the top Democrat on the House Homeland Security Committee, Bennie Thompson of Mississippi, and the top Democrat on its cybersecurity subcommittee, Delia Ramirez, D-Ill.

Additional elements of the force structure assessmewould include a review of the security of federal IT systems and support for state and local governments; the risks posed by AI, quantum computing and other cutting edge technologies; CISA’s threat-hunting and incident response capabilities; support for critical infrastructure and operating technology, including CISA’s role as a sector risk management agency for a number of industry sectors; the operation of the Joint Cyber Defense Collaborative; and international cooperation.

Some lawmakers and other observers have worried those areas have been greatly impacted by staffing cuts, ultimately hurting CISA’s ability to carry out its core functions.

Ramirez dinged GOP lawmakers for “a lack of interest in safeguarding our nation’s cybersecurity and our residents’ civil rights and privacy” in going along with the CISA cuts and other developments at the Department of Homeland Security.

Lawmakers on both sides of the aisle have voiced concern about the scope of cuts at CISA, but Republicans have approved some of them while pushing back on others. CISA itself is currently seeking to hire hundreds of new personnel, even as its latest budget blueprint calls for yet more funding reductions.

“With Iran targeting our critical infrastructure and frontier AI models creating new cyber risks, we must ensure we have a cybersecurity workforce to counter these growing threats,” Thompson said. “After Trump has spent the past two years targeting and slashing CISA’s workforce, we need the agency to assess if it has [the] right personnel in place to fulfill its mission.”

National Cyber Director Sean Cairncross has discussed White House plans to develop a cybersecurity academy meant to consolidate and enhance existing federal cyber training and education programs, with the aim of addressing cyber workforce shortages. His office has reportedly drafted an executive order that would establish that academy.

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While AI is supposed to help defenders, it’s now creating more than twice as much noise as human-triggered incidents CrowdStrike detects as potentially malicious. The company’s threat hunting team and systems triaged an average of 14 million detection leads daily, resulting in about 36,000 customer alerts during the one-year period ending in June.

“AI agent-driven behaviors have surged past human triggers,” said Adam Meyers, senior vice president of counter adversary operations at CrowdStrike. “AI has driven the detections significantly above what humans are causing, and this gives you a sense of how frequently AI is being used, and really just that it’s being used everywhere.”

The threat posed by AI showed up incessantly during the past year, sparking alarming shifts and heightened targeting across software defects, open-source supply chains and AI tools themselves — all of which create greater difficulties for defenders, CrowdStrike said in its annual threat hunting report. 

“The AI tools that are being implemented by every enterprise across the globe right now are also creating an extended attack surface,” Meyers said during a press briefing. 

“AI is now a tool, a target, and a force multiplier for adversaries,” researchers wrote in the report, adding that AI-enabled malicious activity surged 89% during the past year as attackers used the technology to scale operations, hasten tradecraft and target AI infrastructure.

Attackers are using frontier AI models to uncover vulnerabilities and develop resources, including AI-generated scripts, payloads and commands that increase their effectiveness and efficiency. The technology also allows threat groups to design more creative ways to run automated attacks and boost impact by manipulating, interrupting or sabotaging AI systems and data.

“AI is both the weapon and the target,” Meyers said. 

Most organizations don’t view it as such, and thus far haven’t secured or put proper guardrails around the AI tools they use or address the ways attackers can use AI against them, he added. 

AI’s mark on vulnerabilities is particularly concerning, as reflected by what Meyers described as “one of the scarier stats” in this year’s report: 88% of vulnerabilities were weaponized through AI within 48 hours. 

“This is creating a rich ecosystem of vulnerabilities for attackers to use against various systems,” he said. It also renders the 30-day patch window obsolete, forcing organizations to struggle under a new baseline patch cycle of 24 to 48 hours, according to Meyers.

The AI ecosystem also became the next software supply chain battleground during the past year, as evidenced by TeamPCP’s rampage through open-source software in the first half of this year. 

The threat cluster compromised more than 300 software dependencies in one day, Meyers said. 

AI tools are already in the crosshairs and the attack surface will continue to grow as agentic systems, AI application integrations and dependency managers for AI agents proliferate, the report concluded.

“The same AI tools driving modern businesses are creating under-defended attack surfaces that adversaries are exploiting,” Meyers said. “We have to secure AI. This is absolutely critical.”

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By Troy Wojewoda During a recent Breach Assessment engagement, BHIS discovered a highly stealthy and persistent intrusion technique utilized by a threat actor to maintain Command-and-Control (C2) within the client’s […]

The post The Curious Case of the Comburglar appeared first on Black Hills Information Security, Inc..

Answered by Chris Brenton of Active Countermeasures | Questions compiled from the infosec community by Shelby Perry This article was originally published in the Threat Hunting issue of our infosec […]

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by Gerald Auger of Simply Cyber // Guest Author You want to break into cybersecurity? That’s AWESOME. I’ve been in the field for 20 years and I LOVE IT! But […]

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Jordan Drysdale // Summary! There are tons of security event management (SIEM) solutions available these days, but this blog will focus on Microsoft Sentinel. Sentinel is easy to deploy, logs […]

The post Geopolitical Cyber-Detection Lures for Attribution with Microsoft Sentinel  appeared first on Black Hills Information Security, Inc..

Join special guest Chris Brenton, COO of Active Countermeasures, as he discusses the anatomy of beacons and why you need to be looking for them during a threat hunt. He […]

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John Strand// In this webcast, John walks through a couple of cool things we’ve found useful in some recent network hunt teams. He also shares some of our techniques and […]

The post WEBCAST: Tales from the Network Threat Hunting Trenches appeared first on Black Hills Information Security, Inc..

A bit delayed but here is the webcast John did with Security Weekly and Endgame about Threat Hunting on 11/15/16.

The post WEBCAST: Threat Hunting Using Open Source Software Bro Part 1 appeared first on Black Hills Information Security, Inc..

Beau Bullock // TL;DR MailSniper is a penetration testing tool for searching through email in a Microsoft Exchange environment for specific terms (passwords, insider intel, network architecture information, etc.). It […]

The post Introducing MailSniper: A Tool For Searching Every User’s Email for Sensitive Data appeared first on Black Hills Information Security, Inc..