
Collecting Threat Intelligence
Dark Web Monitoring Threat Intelligence Best Practices
How is threat intelligence collected? Threat intelligence collection isn’t some magical process where data just appears …
Learn how to transform endless security alerts into actionable intelligence that actually stops attacks.
• Threat intelligence management helps you cut through security noise by identifying which threats actually matter to your specific organization.
• Good threat intel moves you from reactive defense to proactive hunting, reducing mean time to detection from days to hours.
• The five-stage intelligence cycle (plan, collect, process, analyze, disseminate) turns raw threat data into actionable intel your team can use.
• You need all three types of threat intelligence: tactical (IoCs), operational (TTPs), and strategic (big picture risks) working together for complete coverage.
According to Crowdstrike, 79% of cyberattacks don’t use traditional malware. They leverage Living-Off-The-Land techniques which completely bypass traditional security controls.
Your SOC is drowning in 10,000 daily alerts, while actual attackers slip through using valid credentials and PowerShell commands. Without proper threat intelligence management, you’re fighting blind against attackers who already know your weaknesses.
In this guide, we’ll break down how to transform raw threat data into actionable intelligence that actually stops attacks. But first, let’s define what threat intelligence management actually means.
If you’ve been in security for any length of time, you’ve probably been drowning in alerts. IOCs from one vendor, threat reports from another, your SIEM screaming about everything under the sun. That’s where threat intelligence management comes in. It’s basically your way of making sense of all that noise.
Think of threat intelligence management as your process for turning random security data into something you can actually use. Yes, you’re collecting information about various threats, but more importantly, you’re figuring out which ones actually matter to your organization. Because let’s be honest, not every CVE is going to be relevant to your specific environment.
Here’s how it typically breaks down in practice. You pull in threat data from wherever you can get it, e.g. commercial feeds, OSINT sources, ISACs, even Twitter sometimes. Then comes the fun part, figuring out what’s actually useful. This means correlating indicators, understanding the context behind them, and mapping them to your own infrastructure and risk profile.
What makes threat intelligence management different from just consuming threat feeds? It’s the management part. You’re not just consuming intelligence, you’re producing it, refining it, and making it actionable for your specific needs. You’re tracking what worked, what needs improvement, and constantly tuning your sources and processes.
So now that we’ve covered what threat intelligence management actually is, you’re probably wondering why should I care?
Let me paint you a picture. It’s Monday morning, and instead of scrambling to figure out if that new ransomware variant affects you, your team already knows. You patched the vulnerable systems last week because your threat intel told you that specific groups were weaponizing that CVE. That’s the kind of advantage we’re talking about here.
The biggest win? You shift from playing defense to actually getting ahead of threats. When you know which TTPs are trending, you can hunt for those specific behaviors before someone pops a shell on your network. I’ve seen teams cut their mean time to detection from days to hours just by knowing what to look for.
TTPs are the specific Tactics, Techniques, and step-by-step Procedures that attackers use to break into systems.
Here’s what really moves the needle for most organizations. You stop wasting time on noise. Remember those 10,000 daily alerts I mentioned? With good threat intelligence, you can focus on the 50 that actually matter. Your analysts aren’t burning out chasing false positives. They’re investigating real threats that could actually hurt your business.
Budget conversations get easier too. Try explaining to your board why you need another million for security tools. Now try it when you can say, “These three APT groups are actively targeting our industry, here’s how they operate, and here’s exactly what we need to stop them.” Much more compelling, right?
Your incident response gets surgical instead of chaotic. When something does hit, you’re not starting from scratch. You know the attacker’s playbook, their infrastructure, their persistence mechanisms. What used to take days of forensics might take hours because you’ve seen this movie before.
And honestly, your team gets better. Working with real threat intelligence builds skills fast. Junior analysts learn to think like attackers. Your hunters develop better hypotheses. Everyone starts speaking the same language about risk.
Threat intel vendors might promise you “predictive capabilities” and “AI-driven insights,” but the real benefit of threat intel is simpler. You make better decisions with better information. Whether that’s which patches to emergency-deploy, which IoCs to block, or which users need extra security training, it all comes down to knowing your enemy.
Now that you understand why threat intelligence matters, let’s talk about the different types you’ll be working with, because not all threat intel is created equal."
I can’t tell you how many times I’ve seen security teams get this wrong. They’ll dump a million IoCs into their SIEM and wonder why they’re not stopping advanced attacks. Or they’ll have beautiful reports about APT groups that nobody knows how to operationalize. The thing is, you need all three types of threat intelligence, and you need to know when to use each one.
This is your bread and butter, the IoCs everyone thinks of when they hear “threat intel.” IP addresses, domain names, file hashes, URLs, email addresses. It’s the stuff you can immediately plug into your security tools and start blocking. Is it super useful? Absolutely. But here’s the problem: it expires fast. That malicious IP might be clean tomorrow when the attacker moves their infrastructure.
Tactical intel is like playing whack-a-mole. You need it, but if it’s all you’ve got, you’re always one step behind. Your firewall and SIEM will love this stuff, though. It’s automated defense at its most basic level.
This is where things get interesting. Operational intel focuses on how attackers actually operate, i.e. their TTPs (tactics, techniques, and procedures). Instead of just knowing that BadGuy.exe is malicious, you understand that this particular group likes to use PowerShell, disable Windows Defender, and establish persistence through scheduled tasks.
Why does this matter? Because attackers change their infrastructure constantly, but they’re creatures of habit when it comes to techniques. Once you know their playbook, you can hunt for behaviors instead of just indicators. This is what feeds your threat hunting program and helps you write better detection rules. It’s harder to collect and analyze than tactical intel, but it lasts way longer.
Now we’re talking big picture. Strategic intelligence answers questions like: Who’s targeting us and why? What are the geopolitical factors affecting our threat landscape? What long-term trends should we prepare for? This isn’t about blocking IPs, it’s about making business decisions.
Your CISO needs this to brief the board. Your architects need it to design secure systems. Your risk management team needs it for, well, managing risk. It might seem fluffy compared to tactical intel, but try justifying a multi-million dollar security investment without being able to explain the actual threats you’re defending against.
Here’s the dirty little secret that most vendors won’t tell you: you can’t buy your way into good operational and strategic intelligence. Sure, you can subscribe to reports and feeds, but the best intelligence comes from understanding how these threats apply to your specific organization. That targeted campaign against energy companies? Means something different if you’re a power plant versus a gas station chain.
The teams that get this right use all three types in harmony. Strategic intelligence drives your security strategy, operational intelligence shapes your detection and hunting, and tactical intelligence feeds your automated defenses. Miss any one of them, and you’ve got blind spots that attackers will absolutely exploit.
Now that you understand the different types of threat intel, let’s talk about the process for actually producing it.
The intelligence community figured this out decades ago, and we’ve basically borrowed their methodology. The intelligence cycle they use for nation-state stuff works pretty damn well for cyber threats too. Here are the five stages, and more importantly, what they actually look like in practice.
This is where you figure out what questions you’re trying to answer. Stop trying to find “all the threats”, that’s impossible. Make a list of real questions like: Who’s targeting our industry? What are they after? Which of our assets would hurt most if compromised? Your executives, your SOC, your vulnerability management team all have different intel needs. Pin those down first, or you’ll end up collecting everything and using nothing.
Time to gather your raw materials. You’re pulling from threat feeds, setting up honeypots, scraping forums, joining ISACs, maybe even buying some commercial intelligence. Pro tip: more sources isn’t always better. I’ve seen teams drown in data because they subscribed to every feed under the sun. Start focused and expand based on what actually provides value.
This is the unglamorous part where you turn that mess of data into something workable. Deduplication, normalization, enrichment are the boring stuff that makes or breaks your program. Your TIP handles some of this, but you’ll still need humans to clean up the mess. Raw logs need parsing, IoCs need context, and someone needs to figure out if that “critical” alert is actually critical for you.
Here’s where the magic happens. Your analysts take that processed data and turn it into actionable intelligence. They’re connecting dots, identifying patterns, and most importantly, figuring out what it means for your organization. This Chinese APT group loves using scheduled tasks for persistence? Great, now you know what to hunt for. That ransomware gang always hits on holiday weekends? Time to adjust your staffing.
Intelligence that sits in a report nobody reads is worthless. You need to get the right information to the right people in a format they’ll actually use. Your SOC needs IoCs for their tools. Leadership needs risk assessments they can understand. The vulnerability team needs to know which CVEs are being actively exploited. Different audiences, different products, different timelines.
Remember, this isn’t a one-and-done process. It’s a cycle for a reason. The feedback from your dissemination shapes your next planning phase. Did those IoCs actually catch anything? Was that analysis accurate? You’re constantly refining based on what works and what doesn’t.
Skip any of these stages, and the whole thing falls apart. I’ve seen teams with amazing collection capabilities produce garbage intelligence because they skipped planning. Others had brilliant analysts whose work never made it past a PDF report. The teams that win are the ones that respect the entire cycle, even the boring parts.
Now that you’ve got the process down, we need to discuss the different types of threat intel because not all threat intelligence is created equal. You’ll need different types for different jobs.
• Vulnerability management and threat intelligence are fundamentally different but complementary functions.
• Vuln management finds and fixes weaknesses in your systems (internal focus), while threat intel tells you which attackers are targeting what vulnerabilities (external focus).
• The real value comes when you combine them: instead of drowning in thousands of vulnerabilities, threat intel prioritizes them based on which ones are actually getting exploited.
Let me save you from a mistake I’ve watched dozens of teams make. They’ll hire a threat intel analyst and expect them to run vulnerability scans. Or they’ll task their vuln management team with threat hunting. That’s like asking your goalkeeper to play striker, technically they’re both soccer players, but the skillsets are completely different.
Vulnerability management is about finding and fixing vulnerabilities in your environment. You run your scans, you get your CVE list, you prioritize based on CVSS scores (or hopefully something better), and you patch. It’s about knowing what’s broken in your house. Pretty straightforward, right?
Threat intelligence is about understanding who wants to break into your network, how they’ll do it, and what they’re after. It’s external-focused, constantly changing, and heavily context-dependent. You’re not just cataloging problems, you’re understanding adversaries.
Here’s where people get mixed up: both deal with vulnerabilities, but from opposite angles. Vuln management says, “We have CVE-2024-12345 on 200 servers.” Threat intel says, “APT28 is actively exploiting CVE-2024-12345 to target financial services.” See the difference? One’s an inventory problem, the other’s an adversary problem.
The magic happens when you combine them. Your vulnerability scanner might find 10,000 vulnerabilities this month. Good luck patching all of those before next month’s scan adds 10,000 more. But what happens when your threat intel tells you which 50 vulnerabilities are being actively exploited in the wild, especially by groups that target your industry? Now you’ve got a patching priority that actually makes sense.
I’ve seen this transform vulnerability programs. Instead of playing the CVSS score game (where everything’s apparently critical), you’re making risk-based decisions with real-world context. That Apache Struts vulnerability might be a 10/10 on paper, but if you know nobody’s exploiting it yet while criminals are hammering a different 7/10 vulnerability, guess which one you patch first?
The tools are different too. Vulnerability management lives in scanners, CMDBs, and patch management systems. Threat intelligence lives in TIPs, OSINT platforms, and threat intel communities. Sometimes they integrate (and when they do, it’s beautiful), but they’re fundamentally different technologies solving different problems.
A TIP (Threat Intelligence Platform) is a centralized system that collects, organizes, and analyzes threat data from multiple sources. TIPs help security teams understand what attacks are happening and how to defend against them.
Don’t get me wrong, you need both. Vulnerability management without threat intelligence is like defensive driving with your eyes closed. Threat intelligence without vulnerability management is like knowing there’s danger but having no idea if you’re actually vulnerable to it. The best security teams treat them as complementary functions that feed each other, not competing priorities or interchangeable capabilities.
Bottom line? If someone tells you threat intel will replace your vulnerability management program, or vice versa, they’re trying to sell you something. You need both, and you need them talking to each other constantly.
Okay so now that you understand what threat intelligence is and how it fits with your other security functions, now let’s get into the nitty-gritty of actually making it work in the real world.
Theory’s great, but Monday morning comes around and you need to actually operationalize this stuff. Here’s what I’ve learned from watching teams succeed (and fail) at building threat intel programs.
Don’t try to boil the ocean. Pick one use case and nail it. Maybe it’s enriching your incident response tickets with threat context. Maybe it’s feeding high-confidence IoCs to your firewall. Whatever it is, show value fast. I’ve seen too many programs die because they spent six months building the perfect framework without delivering anything tangible.
Everyone wants to subscribe to all the feeds, join all the ISACs, and buy all the platforms. That’s a recipe for drowning. Start with OSINT (open source intelligence), it’s free and surprisingly good. Add one commercial feed that addresses your biggest gap. Join the ISAC for your industry if there is one. Then stop and assess before adding more. Quality beats quantity every single time.
If your analysts are copy-pasting IoCs from PDFs, you’re doing it wrong. Get a TIP, even if it’s open source. Build integrations between your intel sources and defensive tools. Create templates for common reports. The goal is to free up your humans to do actual analysis, not data entry.
This is where most programs fall apart. You need to know: Did those IoCs fire? Were the TTPs accurate? Did the strategic assessment help make decisions? Build metrics that matter, not vanity stats. “We processed 1 million indicators” means nothing. “We prevented 15 incidents through proactive threat hunting” means everything.
Every vendor promises actionable intelligence. Most deliver data dumps. True actionable intelligence comes with context, confidence levels, and clear next steps. Don’t just say “APT29 is targeting the energy sector.” Say “APT29 is targeting energy companies using spearphishing with Ukraine-themed lures. Check your email logs for these sender addresses and train users to spot these specific themes.”
Your SOC analysts need different intel than your executives. Operators want IoCs and detection rules. Managers want trends and metrics. Executives want risk implications and business impact. Create different products for different consumers, or watch your beautiful intelligence get ignored.
I see teams with amazing collection capabilities who produce… nothing. They’re so busy gathering intelligence that they never analyze or disseminate it. Flip the ratio. Spend 20% of your time collecting and 80% analyzing and producing. You’ll deliver more value with less data.
The best intelligence often comes from peers, not vendors. Get involved in sharing communities. Build relationships with other teams in your industry. Share what you can (following proper channels, obviously). The team that helped you understand today’s campaign might need your help tomorrow.
Your intelligence will be wrong sometimes. Adversaries change tactics. Information gets dated. Have processes for updating or retracting bad intel. Nothing destroys credibility faster than insisting your outdated intelligence is still good.
Track metrics that show actual security improvement. Time to detection. False positive rates. Incidents prevented. Patching prioritization effectiveness. Skip the meaningless numbers and focus on what demonstrates real risk reduction.
The teams that succeed, treat threat intelligence as an operational capability, not an academic exercise. They iterate constantly, fail fast, and always tie their work back to reducing actual risk. It’s not about having the most intelligence—it’s about having the right intelligence at the right time in the right hands.
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An example would be discovering IP addresses from known C2 servers hitting your firewall logs, or finding your company’s email addresses in a recent stealer log. These IOCs give you something concrete to block or reset immediately, rather than theoretical attack patterns that might never target you.
Aggregate data from your SIEM, threat feeds, and incident reports, but don’t just collect everything. Focus on indicators that actually matter to your environment. The real value comes from enriching that raw data with context about your specific assets and relevant threat actors, otherwise you’re just drowning in noise.
Build a process that prioritizes intelligence based on relevance to your environment. Not every APT campaign or vulnerability matters to your organization. Focus on what’s relevant for your industry and tech stack. Set up automated enrichment and distribution to get actionable intel to the right teams quickly. Stale intelligence is worthless intelligence.
The five stages are Planning/Direction (defining what intel you actually need), Collection (gathering data from feeds, logs, and sources), Processing (normalizing and organizing that raw data), Analysis (where the real work happens—connecting dots and finding patterns), and Dissemination (getting insights to the right teams in time to act). As an aside, most organizations fail at the last stage. Having great intelligence means nothing if it sits in a report that nobody reads or arrives after the attack.
TTPs are Tactics, Techniques, and Procedures, basically the playbook that threat actors follow when targeting organizations. This includes everything from their initial compromise methods to how they move laterally and exfiltrate data. Understanding adversary TTPs is far more valuable than just blocking IOCs because attackers can easily change IPs or hashes, but changing their fundamental behaviors is much harder.
Dark Web Monitoring Threat Intelligence Best Practices
How is threat intelligence collected? Threat intelligence collection isn’t some magical process where data just appears …
Dark Web Monitoring Best Practices
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