![\"Threat](\"https:\/\/getdarkscout.com\/blog\/wp-content\/uploads\/2026\/06\/threat-intelligence-program.webp\")
<\/figure>\n\n\n\nA threat intelligence program is a formalized function within your security organization that systematically collects, analyzes, and delivers intelligence about cyber threats to support better security decisions.<\/p>\n\n\n\n
The word “program” is deliberate. It implies structure, repeatability, and accountability.<\/p>\n\n\n\n
A program has defined objectives tied to business risk. It has a process for producing intelligence, not just consuming data. It has defined audiences who receive intelligence in formats they can act on. It measures its own effectiveness and improves over time.<\/p>\n\n\n\n
At its core, a threat intelligence program answers three questions for your organization:<\/p>\n\n\n\n
- \n
- Who is threatening us, and what do they want?<\/li>\n\n\n\n
- How are they likely to attack us?<\/li>\n\n\n\n
- What can we do about it before they do?<\/li>\n<\/ul>\n\n\n\n
Those questions sound simple. Building a program that answers them consistently, at speed, across strategic, operational, and technical levels simultaneously is the challenge.<\/p>\n\n\n\n
<\/span>Why Most Organizations Don’t Have One<\/span><\/h2>\n\n\n\n
Organizations that lack a structured program usually fall into one of three patterns.<\/p>\n\n\n\n
- \n
- The data collection trap.<\/strong> The security team subscribes to several threat feeds, ingests them into the SIEM, and calls it “threat intelligence.” They have data. They don’t have analysis, context, or a way to connect that data to the specific decisions their organization needs to make. The feeds generate alerts that analysts can’t prioritize because there’s no intelligence requirement telling them what matters.<\/li>\n\n\n\n
- The report nobody reads.<\/strong> A vendor or MSSP provides a monthly threat intelligence report. It lands in inboxes. It covers global threat trends. Nobody reads it because it doesn’t tell anyone what to do differently. There’s no connection between the content of the report and any decision, action, or change in the organization’s security posture.<\/li>\n\n\n\n
- The reactive investigation.<\/strong> Intelligence work happens only during or after incidents. An analyst researches a threat actor after they’ve already been breached by them. The intelligence is accurate. It’s just three weeks too late.<\/li>\n<\/ul>\n\n\n\n
All three patterns produce activity that looks like a threat intelligence program without delivering what a program actually provides: forward-looking intelligence that changes decisions before attacks happen.<\/p>\n\n\n\n
<\/span>Before You Build: The Questions That Define Everything <\/span><\/h2>\n\n\n\n
Before touching a tool or subscribing to a feed, answer these questions. They determine the shape of everything that follows.<\/p>\n\n\n\n
What decisions does your organization need threat intelligence to inform?<\/strong><\/h3>\n\n\n\n
Start here and stay here until you have specific answers. Not “improve our security posture.” Specific decisions.<\/p>\n\n\n\n
Which threat actor groups should we be most concerned about this year? Are any of our employees’ credentials currently exposed on dark web markets? Should we be prioritizing patching our VPN infrastructure above other backlog items right now? Is our primary cloud vendor showing signs of security deterioration that creates third-party risk for us?<\/p>\n\n\n\n
Each of those is a specific, answerable question. It tells you what intelligence you need to collect, who needs to receive it, and what format they need it in.<\/p>\n\n\n\n
These are called Priority Intelligence Requirements, or PIRs. Document them. Share them with stakeholders. They’re the foundation your program builds on.<\/p>\n\n\n\n
Who are your realistic threat actors?<\/strong><\/h3>\n\n\n\n
Not every threat actor is relevant to every organization. A nation-state APT targeting defence contractors is not a realistic concern for a regional law firm. Ransomware groups targeting healthcare are an existential concern for a hospital network.<\/p>\n\n\n\n
Build a threat actor profile relevant to your organization: your industry, your geography, your data types, and your size. This focuses collection and analysis on what actually matters to you rather than tracking every threat in the global landscape.<\/p>\n\n\n\n
What assets and data are you protecting?<\/strong><\/h3>\n\n\n\n
Your most critical assets define the threat scenarios you care about most. A breach of your customer payment data is a different threat scenario than a breach of your operational technology systems. Intelligence requirements should map directly to the assets that carry the highest risk.<\/p>\n\n\n\n
What is your current security maturity?<\/strong><\/h3>\n\n\n\n
A threat intelligence program that outpaces your organization’s ability to act on the intelligence it produces is a waste. If your security team can’t respond to a tactical alert faster than an attacker can complete a breach, more intelligence isn’t the answer. Build your program at the pace your organization can operationalize.<\/p>\n\n\n\n
<\/span>The Core Components of an Effective Program<\/span><\/h2>\n\n\n\n
![\"The](\"https:\/\/getdarkscout.com\/blog\/wp-content\/uploads\/2026\/06\/The-Core-Components-of-an-Effective-Program.webp\")
<\/figure>\n\n\n\nEvery effective threat intelligence program has the same five components. The scale and sophistication differ by organization. The structure doesn’t.<\/p>\n\n\n\n
1. Intelligence Requirements (PIRs)<\/h3>\n\n\n\n
The documented questions your program exists to answer. Updated regularly as threat priorities and business context shift. Owned jointly by security leadership and business stakeholders.<\/p>\n\n\n\n
Without clear requirements, every other component of the program produces output that isn’t connected to any real need.<\/p>\n\n\n\n
2. Collection Sources<\/h3>\n\n\n\n
The combination of sources that provides coverage for your intelligence requirements. A good collection strategy uses multiple source categories: technical feeds for IOCs, dark web monitoring for credential and threat actor intelligence, OSINT for open-source coverage, internal telemetry for incident-derived intelligence, and information sharing communities for sector-specific context.<\/p>\n\n\n\n
Source quality matters far more than source volume. Ten high-quality, well-calibrated sources produce better intelligence than fifty low-quality feeds that generate noise.<\/p>\n\n\n\n
3. Processing and Analysis Infrastructure<\/h3>\n\n\n\n
The infrastructure that takes all your collected raw data and transforms it into information your team can use. For technical intelligence, this typically takes the form of a Threat Intelligence Platform (TIP) used to normalize, deduplicate, enrich, and distribute data. For analytical intelligence, it takes the form of workspaces, frameworks, and methodologies used by analysts.<\/p>\n\n\n\n
4. Dissemination Channels<\/h3>\n\n\n\n
The paths through which finished intelligence reaches its audiences. Executive briefings and board reports for strategic intelligence. Operational briefs and campaign reports for security managers and incident responders. MITRE ATT&CK-mapped TTP reports for SOC analysts and detection engineers. Automated IOC feeds for security tools.<\/p>\n\n\n\n
Each audience receives intelligence in a format built for them. Not one format is distributed to everyone.<\/p>\n\n\n\n
5. Feedback Mechanisms<\/h3>\n\n\n\n
The structured processes that let intelligence consumers evaluate what they received and feed that assessment back into the program. Did the intelligence influence any decisions? Was it accurate? Was it timely? Were the formats useful?<\/p>\n\n\n\n
Without feedback, the program can’t improve. With it, the program compounds its effectiveness over each cycle.<\/p>\n\n\n\n
<\/span>Step-by-Step: How to Build Your Program<\/span><\/h2>\n\n\n\n
Step 1: Define your intelligence requirements<\/strong><\/h3>\n\n\n\n
Before anything else, write down your PIRs, involving as many stakeholders from security, legal, compliance, and senior leadership as possible. Prioritize requirements based on their business risk impact. Set a schedule to re-review and update them over time. For initial program development, strive for five to ten PIRs, because less than five suggests your requirements are too vague and more than ten will likely outstrip your available resources.<\/p>\n\n\n\n
Step 2: Profile your threat landscape<\/strong><\/h3>\n\n\n\n
Research the threat actors, vectors, and scenarios that are most relevant to your organization. The most practical place to start is by looking at external threats and intelligence reports from the community and from your government. Once this is done, the results should be correlated to your most critical assets and data. This threat profile is then the primary tool for calibrating your collection methods and analytical priorities.<\/p>\n\n\n\n
Step 3: Audit your existing data sources<\/strong><\/h3>\n\n\n\n
Before subscribing to new feeds or deploying new tools, inventory what you already have. Your SIEM, EDR, firewall, and existing threat feeds are all potential intelligence sources. Assess their quality and relevance to your PIRs. Identify gaps.<\/p>\n\n\n\n
Most organizations discover they’re already collecting useful data. The gap is often in processing and analysis, not collection.<\/p>\n\n\n\n
Step 4: Select and configure collection sources<\/strong><\/h3>\n\n\n\n
Based on your PIR gaps, add collection sources that address them. Prioritize quality over quantity. For each source, define: what data it provides, how frequently it updates, how it gets ingested into your processing infrastructure, and who is responsible for monitoring its quality.<\/p>\n\n\n\n
Dark web monitoring deserves explicit attention here. Credential exposure, Initial Access Broker listings, and threat actor targeting discussions on dark web forums are among the highest-value intelligence signals available, and most organizations don’t have systematic collection coverage for them.<\/p>\n\n\n\n
Step 5: Build your processing infrastructure<\/strong><\/h3>\n\n\n\n
Implement or integrate your threat intelligence platform (TIP) or similar system to aggregate, normalize, and enrich your intelligence sources. Build some level of automation for data normalization, validation, IOC dissemination, and flagging of high-priority items. The main goal is to free analysts from time-consuming tasks like data normalization so that they can focus on analyzing the data itself. An automated system that saves an hour each hour is an hour gained by an analyst to work on a problem requiring human analysis.<\/p>\n\n\n\n
Step 6: Establish your analytical workflows<\/strong><\/h3>\n\n\n\n
Define how analysis gets done: who produces each type of intelligence output, what frameworks and methodologies they use, what the quality review process is, and what the production cadence is for each output type.<\/p>\n\n\n\n
For strategic intelligence, this might be a monthly executive brief with a defined template and review process. For tactical intelligence, it might be a weekly TTP update mapped to ATT&CK techniques observed in recent campaigns. For technical intelligence, it might be a real-time alert workflow for high-confidence IOCs requiring immediate action.<\/p>\n\n\n\n
Document the workflows. Undocumented processes disappear when the person who runs them leaves.<\/p>\n\n\n\n
Step 7: Design your dissemination approach<\/strong><\/h3>\n\n\n\n
Map each intelligence product to its intended audience and delivery channel. Define format standards for each output type. Build in review gates to ensure quality before distribution.<\/p>\n\n\n\n
The test for every dissemination format: can the intended recipient act on this? If the answer is no, the format is wrong.<\/p>\n\n\n\n
Step 8: Implement feedback collection<\/strong><\/h3>\n\n\n\n
Build structured feedback into every dissemination channel. For executive briefings, schedule a brief debrief after each one. For SOC analysts receiving tactical intelligence, create a simple mechanism to flag whether indicators produced true detections or false positives. For security managers receiving operational reports, ask explicitly whether the intelligence changed any decisions or priorities.<\/p>\n\n\n\n
Treat feedback as a program requirement, not an optional nice-to-have.<\/p>\n\n\n\n
<\/span>Building by Maturity: What the Program Looks Like at Each Stage <\/span><\/h2>\n\n\n\n
Not every organization starts from the same place. Here’s what a realistic program looks like at three maturity stages.<\/p>\n\n\n\n
Stage 1: Foundational (0 to 6 months)<\/h3>\n\n\n\n
You’re establishing the basics. The goal is to start producing intelligence that’s better than nothing and building the habits that a mature program will need.<\/p>\n\n\n\n
What to build first:<\/strong><\/p>\n\n\n\n
- \n
- Document five core PIRs tied to your top business risks<\/li>\n\n\n\n
- Subscribe to two to three high-quality threat intelligence feeds relevant to your industry<\/li>\n\n\n\n
- Set up dark web credential monitoring for your primary email domains<\/li>\n\n\n\n
- Configure basic IOC ingestion<\/a> into your SIEM<\/li>\n\n\n\n
- Produce a monthly threat briefing for your security leadership covering the most relevant threats to your sector<\/li>\n<\/ul>\n\n\n\n
What to skip for now:<\/strong><\/p>\n\n\n\n
- \n
- Building custom threat actor profiles from scratch<\/li>\n\n\n\n
- Deploying a full TIP platform<\/li>\n\n\n\n
- Trying to cover all four intelligence types simultaneously<\/li>\n<\/ul>\n\n\n\n
At this stage, consistency matters more than sophistication. One reliable monthly briefing and a working IOC pipeline beats an ambitious program that produces irregular, unreliable outputs.<\/p>\n\n\n\n
Stage 2: Developing (6 to 18 months)<\/h3>\n\n\n\n
You have the basics working. Now you’re building analytical depth and operational integration.<\/p>\n\n\n\n
What to add:<\/strong><\/p>\n\n\n\n
- \n
- Deploy a TIP to manage collection, processing, and distribution at scale<\/li>\n\n\n\n
- Develop threat actor profiles for the top three groups most relevant to your organization<\/li>\n\n\n\n
- Start mapping tactical intelligence to MITRE ATT&CK and pushing it to detection engineers<\/li>\n\n\n\n
- Expand dark web monitoring to cover third-party vendor exposure<\/li>\n\n\n\n
- Build an operational intelligence workflow that feeds active hunting hypotheses to your threat hunting team<\/li>\n\n\n\n
- Add formal feedback collection to all intelligence outputs<\/li>\n<\/ul>\n\n\n\n
What to focus on:<\/strong> Making intelligence outputs actually change what people do. Tactical reports should generate new detection rules. Operational briefings should change hunting priorities. Strategic reports should influence budget requests.<\/p>\n\n\n\n
If outputs aren’t changing behavior, investigate the dissemination and feedback process before collecting more data.<\/p>\n\n\n\n
Stage 3: Mature (18 months and beyond)<\/h3>\n\n\n\n
Your program is producing consistent, high-quality intelligence across all four types. You’re focused on improving precision, expanding coverage, and demonstrating value.<\/p>\n\n\n\n
What characterizes maturity:<\/strong><\/p>\n\n\n\n
- \n
- PIRs are reviewed quarterly and updated based on feedback<\/li>\n\n\n\n
- Detection engineers pull tactical intelligence directly into rule development workflows<\/li>\n\n\n\n
- Dark web intelligence is integrated into both credential monitoring and third-party risk programs<\/li>\n\n\n\n
- Strategic intelligence influences security investment decisions at the board level<\/li>\n\n\n\n
- The program has documented KPIs that are tracked and reported to leadership<\/li>\n\n\n\n
- Analysts have specializations rather than generalist responsibilities<\/li>\n\n\n\n
- Intelligence sharing with sector peers through ISACs is active and reciprocal<\/li>\n<\/ul>\n\n\n\n
The maturity trap:<\/strong> The biggest risk at this stage is complacency. Programs that stop evolving stop improving. Mature programs need periodic structured reviews that challenge assumptions about collection sources, analytical methodologies, and dissemination formats.<\/p>\n\n\n\n
<\/span>Staffing and Skills: Who You Actually Need <\/span><\/h2>\n\n\n\n
A common reason organizations delay building a threat intelligence program is the assumption that it requires hiring a dedicated team before anything can start.<\/p>\n\n\n\n
That’s not true.<\/p>\n\n\n\n
Starting with one person:<\/strong> A single analyst can run a foundational program if their time is protected for intelligence work. The risk is key-person dependency. Document everything. Build processes that don’t exist only in one person’s head.<\/p>\n\n\n\n
The core skills needed:<\/strong><\/p>\n\n\n\n
- \n
- Analysis: the ability to pull in and fuse together various pieces of information, see patterns and connections, rate certainty, and write succinct reports on what you find. The hardest to acquire and the most important to get right.<\/li>\n\n\n\n
- Technicality: to understand what a TTP, IOC, and the security tools that make use of intelligence are saying, and so on. You do not need an engineering degree; however, just a sound understanding of the concepts.<\/li>\n\n\n\n
- Communication: the skill of turning very technical threat data and the associated concerns into business speak suitable for executives, the legal department, or the layperson, non-security folk. It is not sufficiently valued but is utterly crucial.<\/li>\n\n\n\n
- Collection source management: knowing how to rate a source and feed quality, manage feed distribution, and understand what is not being gathered.<\/li>\n<\/ul>\n\n\n\n
What to outsource:<\/strong> Many organizations use managed threat intelligence services to supplement internal capabilities, particularly for dark web monitoring, technical feed management, and sector-specific threat tracking. Outsourcing collection and processing while keeping analysis and dissemination internal is a common and effective model.<\/p>\n\n\n\n
Managed services give you coverage you couldn’t build internally at the same cost. Internal analysts give you the contextual knowledge of your own environment that external services can’t replicate.<\/p>\n\n\n\n
<\/span>Measuring Success: The Metrics That Matter <\/span><\/h2>\n\n\n\n
Without measurement, you can’t demonstrate value or improve the program. These are the metrics that actually tell you whether your program is working.<\/p>\n\n\n\n
Detection improvement metrics<\/strong><\/p>\n\n\n\n
- \n
- Mean time to detect (MTTD) trends over time<\/li>\n\n\n\n
- Percentage of incidents where threat intelligence provided advance warning<\/li>\n\n\n\n
- Number of new detection rules generated from tactical intelligence each month<\/li>\n\n\n\n
- True positive rate of IOC-based alerts (measures indicator quality)<\/li>\n<\/ul>\n\n\n\n
Intelligence quality metrics<\/strong><\/p>\n\n\n\n
- \n
- Accuracy rate: What percentage of intelligence assessments proved correct?<\/li>\n\n\n\n
- Timeliness: What percentage of intelligence was delivered before the relevant decision needed to be made?<\/li>\n\n\n\n
- Actionability rate: what percentage of intelligence outputs resulted in a documented action or decision change?<\/li>\n<\/ul>\n\n\n\n
Coverage metrics<\/strong><\/p>\n\n\n\n
- \n
- PIR coverage: What percentage of your priority intelligence requirements are being answered by current outputs?<\/li>\n\n\n\n
- Threat actor coverage: What percentage of the threat actors in your profile have active monitoring?<\/li>\n\n\n\n
- Dark web coverage: What percentage of your email domains and critical systems are actively monitored?<\/li>\n<\/ul>\n\n\n\n
Program efficiency metrics<\/strong><\/p>\n\n\n\n
- \n
- Time from collection to finished intelligence by product type<\/li>\n\n\n\n
- Analyst hours spent on processing vs. analysis (processing should trend lower as automation matures)<\/li>\n\n\n\n
- Feedback response rate from intelligence consumers<\/li>\n<\/ul>\n\n\n\n
The most important single metric is actionability. Intelligence that doesn’t drive action isn’t improving your security posture. Track what changes as a result of your intelligence, and optimize ruthlessly for that.<\/p>\n\n\n\n
<\/span>What Kills a Threat Intelligence Program<\/span><\/h2>\n\n\n\n
![\"What](\"https:\/\/getdarkscout.com\/blog\/wp-content\/uploads\/2026\/06\/What-Kills-a-Threat-Intelligence-Program.webp\")
<\/figure>\n\n\n\nPrograms that get built with good intentions often fail for predictable reasons. Knowing them in advance helps you avoid them.<\/p>\n\n\n\n
- \n
- No executive sponsorship.<\/strong> Threat intelligence programs that exist only at the analyst level don’t survive. When budgets get cut, when staffing changes, when tools need renewal, programs without senior sponsorship get deprioritized. Get a CISO or VP of Security named as the program owner from the start.<\/li>\n\n\n\n
- Intelligence that doesn’t connect to decisions.<\/strong> The fastest way to lose stakeholder confidence is to produce intelligence that nobody acts on. If your monthly executive brief doesn’t change any decisions after three consecutive cycles, that brief is failing. Investigate why and redesign it.<\/li>\n\n\n\n
- Collection without analysis.<\/strong> Teams that treat collection as the goal end up with enormous volumes of data and no intelligence. The ratio of data to insight gets worse over time as more sources are added without corresponding analytical capacity. More data without more analysis produces more noise, not more intelligence.<\/li>\n\n\n\n
- No feedback loop.<\/strong> Programs without feedback produce the same quality of output indefinitely. They don’t know which sources are most valuable, which formats work best, or which intelligence requirements have shifted. Stagnant programs lose relevance and eventually lose support.<\/li>\n\n\n\n
- Key-person dependency.<\/strong> When a program exists in the knowledge and habits of one analyst, it’s one resignation away from collapse. Document processes. Cross-train where possible. Build institutional knowledge into systems rather than leaving it in people’s heads.<\/li>\n\n\n\n
- Trying to do everything at once.<\/strong> Programs that attempt to cover all four intelligence types, all threat actors, all geographies, and all asset types simultaneously from day one produce shallow, low-quality coverage across everything. Start narrow and deep. Expand coverage as capacity grows.<\/li>\n<\/ul>\n\n\n\n
<\/span>How Dark Web Intelligence Fits Into Your Program <\/span><\/h2>\n\n\n\n
Dark web intelligence isn’t a separate program. It’s a collection source that feeds your threat intelligence program across multiple intelligence types and multiple phases of the threat intelligence lifecycle<\/a>.<\/p>\n\n\n\n
Here’s where it adds the most specific value:<\/p>\n\n\n\n
Credential monitoring as a continuous PIR.<\/strong> Whether any of your organization’s credentials are currently for sale on dark web markets is one of the highest-value, most answerable PIRs any organization can track. The answer changes in real time. It requires active monitoring, not periodic checking.<\/p>\n\n\n\n
When credentials appear in stealer logs or breach databases being sold underground, your program should surface that immediately to whoever can force a password reset before those credentials are used.<\/p>\n\n\n\n
Threat actor early warning.<\/strong> Dark web forums are where ransomware affiliates discuss targets, share tools, and recruit. Monitoring for mentions of your organization, your industry, or your specific technology stack in these communities gives operational intelligence that no surface-facing tool can provide.<\/p>\n\n\n\n
IOC enrichment from underground sources.<\/strong> New malware samples, attacker infrastructure, and exploitation techniques get shared in dark web communities before they appear in public threat feeds. Collection from these sources feeds your technical intelligence pipeline with earlier, often higher-quality IOCs than commodity feeds provide.<\/p>\n\n\n\n
Third-party risk signals.<\/strong> When a vendor’s credentials appear in stealer logs or their data appears on ransomware leak sites, that’s an operational intelligence signal that creates direct risk for your organization. Dark web monitoring extended to your top-tier vendors gives you early warning of third-party compromise before formal breach notifications arrive.<\/p>\n\n\n\n
DarkScout’s Dark Monitoring service<\/a> and Darknet Threat Assessment<\/a> provide continuous collection and structured intelligence delivery from dark web sources, integrating directly into the collection layer of your threat intelligence program without requiring your analysts to manage dark web access and infrastructure themselves.<\/p>\n\n\n\n
For an immediate check on your organization’s current dark web credential exposure, DarkScout’s free email scan<\/a> provides instant results in seconds.<\/p>\n\n\n\n
<\/span>Connecting the Program to Your Broader Security Strategy <\/span><\/h2>\n\n\n\n
A threat intelligence program doesn’t operate in isolation. It’s most valuable when it feeds every other security function in your organization.<\/p>\n\n\n\n
Vulnerability management<\/strong> becomes more effective when threat intelligence tells you which vulnerabilities are being actively exploited by groups targeting your industry right now, rather than treating every CVE as an equal priority.<\/p>\n\n\n\n
Incident response<\/strong> becomes faster when threat intelligence provides context about who is attacking, what tools they’re using, and what lateral movement patterns to expect before the incident response team has to figure all of that out from scratch during a live incident.<\/p>\n\n\n\n
Cybersecurity risk assessment<\/a><\/strong> becomes more concrete when threat intelligence provides real evidence of exposure: credentials circulating on dark web markets, attack surface weaknesses being discussed by threat actors, and third-party vendors showing signs of compromise.<\/p>\n\n\n\n
Detection engineering<\/strong> improves continuously when tactical intelligence in the form of MITRE ATT&CK-mapped TTPs flows regularly to the analysts building detection rules.<\/p>\n\n\n\n
- Intelligence that doesn’t connect to decisions.<\/strong> The fastest way to lose stakeholder confidence is to produce intelligence that nobody acts on. If your monthly executive brief doesn’t change any decisions after three consecutive cycles, that brief is failing. Investigate why and redesign it.<\/li>\n\n\n\n
- No executive sponsorship.<\/strong> Threat intelligence programs that exist only at the analyst level don’t survive. When budgets get cut, when staffing changes, when tools need renewal, programs without senior sponsorship get deprioritized. Get a CISO or VP of Security named as the program owner from the start.<\/li>\n\n\n\n
- Produce a monthly threat briefing for your security leadership covering the most relevant threats to your sector<\/li>\n<\/ul>\n\n\n\n
- The report nobody reads.<\/strong> A vendor or MSSP provides a monthly threat intelligence report. It lands in inboxes. It covers global threat trends. Nobody reads it because it doesn’t tell anyone what to do differently. There’s no connection between the content of the report and any decision, action, or change in the organization’s security posture.<\/li>\n\n\n\n
- The data collection trap.<\/strong> The security team subscribes to several threat feeds, ingests them into the SIEM, and calls it “threat intelligence.” They have data. They don’t have analysis, context, or a way to connect that data to the specific decisions their organization needs to make. The feeds generate alerts that analysts can’t prioritize because there’s no intelligence requirement telling them what matters.<\/li>\n\n\n\n