惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Y
Y Combinator Blog
IT之家
IT之家
博客园_首页
人人都是产品经理
人人都是产品经理
博客园 - Franky
I
InfoQ
Recent Announcements
Recent Announcements
P
Proofpoint News Feed
H
Hackread – Cybersecurity News, Data Breaches, AI and More
GbyAI
GbyAI
大猫的无限游戏
大猫的无限游戏
aimingoo的专栏
aimingoo的专栏
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
月光博客
月光博客
Microsoft Security Blog
Microsoft Security Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
B
Blog RSS Feed
MongoDB | Blog
MongoDB | Blog
雷峰网
雷峰网
博客园 - 聂微东
N
Netflix TechBlog - Medium
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The GitHub Blog
The GitHub Blog
D
Docker

Intel 471 Blog

TeamPCP Supply Chain Attacks Turning Geopolitical Tension into Actionable Intelligence CVE-2025-68613: Zerobot botnet exploits critical vulnerability impacting n8n AI orchestration platform Introducing Cyber Threat Exposure Bundle: A Unified Approach to External Risk CVE-2026-20127: Critical Cisco SD-WAN vulnerability exploited in wild Handala Threat Group OpenClaw: A viral AI assistant and a magnet for infostealer malware and ClickFix trickery Israeli, US strikes against Iran triggers a surge in hacktivist activity CVE-2026-1731: Finding a critical RCE in an age of AI-driven vulnerability research Born to bypass MFA: Taking down Tycoon 2FA The UK Cyber Security Resilience Bill How AI and the human advantage beat tomorrow’s threats Winter Olympics 2026: Hacktivism Surges Ahead of Protests and Suspected Sabotage How Threat Hunting and “Good” Metrics Help The Business Likely fake ransomware operator 0APT causes panic — Our analysis Hunting APTs: from state policy to TTPs CrazyHunter Ransomware DevMan Ransomware Introducing HUNTER Tuning: a New Tool for Driving Behavioral Threat Hunt Detections Battling check fraud in the U.S. Gootloader Malware Update Shai-Hulud Worm 2.0 New FvncBot Android banking trojan targets Poland White Paper Preview: Black "Fraud Day” and Beyond — The Key Cyber Threats Facing the Retail Sector this Holiday Season Threat hunting case study: Detecting IAB activity Using deception to extract cyber threat intelligence Lynx Ransomware Qilin Ransomware Group ClickFix: Tricking users into installing infostealers Cybercrime Takedowns: Trust, Partnerships and Focus
Cyber threat intelligence requirements: What are they, wh...
2016-05-19 · via Intel 471 Blog

By Mark Arena, CEO of Intel 471.

There are many definitions of what is an intelligence requirement but the definition to me that is most accurate is:

“Any subject, general or specific, upon which there is a need for the collection of information, or the production of intelligence.”

Ref:http://www.thefreedictionary.com/intelligence+requirement

With the above definition I want to highlight that an intelligence requirement could be one of two things: something where there is a need for the collection of information or the production of intelligence. Based on this, breaking out these two differing types of intelligence requirements into separate lists is the best approach.

Let’s take an example:
The CISO/CSO (Chief Information Security Officer) of your organization wants to know of any vulnerabilities that are being exploited in the wild that your organization can’t defend against or detect.

As you can see in the above example, breaking out what is needed for the production of intelligence and renaming it production requirements makes it clear that this is what is required for the production of intelligence therefore:

  • Production requirements (what the intelligence consumer needs)

-> Intelligence requirements (what questions do we need our intelligence collection to answer to meet our production requirements)

Now we have two separate tables of what our intelligence consumers need versus what we need to collect. Next we need to identify what observables or data inputs we would need to answer our intelligence requirements, which we’ll call our collection requirements. Lets take another example:

In the above example what we have is:

  • Intelligence requirements (what questions do we need our intelligence collection to answer to meet our production requirements)

-> Collection requirements (what observables/data inputs do we need to answer our intelligence requirements)

By breaking out your organization’s collection requirements this way, it will allow you to better assign the responsibility to collect for a specific collection requirement to a team, capability or external provider which can be regularly assessed to see how it fits into helping meet your organization’s intelligence requirements. When it comes to external providers of intelligence, there’s a number that sit in the intelligence cycle between collection and dissemination. Intel 471 sits primarily in the collection part of the intelligence cycle and works with organizations to more effectively collect against their externally focused collection requirements. When we refer to “externally focused” collection requirements, what we mean is that collection requirements can either be internally focused or externally focused where internally focused collection requirements require visibility on the subject organization’s attack surface. Externally focused collection requirements involves requirements that are adversary/cyber threat actor focused.

The holy grail of cyber threat intelligence prioritization?

The holy grail of cyber threat intelligence prioritization is to have a single long-term prioritized list of production requirements that is updated twice a year. The production requirements should be broad enough to encompass short-term requirements that immediately head to the top of the priority list but are very narrowly focused and only last at maximum 30 days, for example a requirement to assist with incident response to a security breach. In the absence of a single prioritized list, breaking down intelligence priorities by high, medium and low priorities is acceptable and is common practice with most resources going into satisfying high priority items.

Intelligence requirements: Attack surface or adversary focused?

A common question cyber threat intelligence professionals encounter is whether their organization’s intelligence requirements should be attack surface or adversary focused. A single intelligence requirement could be either but not both. An intelligence requirement in the context described above needs to relate to a specific observable that is eventually tasked to a team, capability or external provider so will need to be attack surface or adversary focused.

As you can see in the above example, breaking out what is needed for the production of intelligence and renaming it production requirements makes it clear that this is what is required for the production of intelligence therefore:

  • Production requirements (what the intelligence consumer needs)

-> Intelligence requirements (what questions do we need our intelligence collection to answer to meet our production requirements)

Now we have two separate tables of what our intelligence consumers need versus what we need to collect. Next we need to identify what observables or data inputs we would need to answer our intelligence requirements, which we’ll call our collection requirements. Lets take another example:

In the above example what we have is:

  • Intelligence requirements (what questions do we need our intelligence collection to answer to meet our production requirements)

-> Collection requirements (what observables/data inputs do we need to answer our intelligence requirements)

By breaking out your organization’s collection requirements this way, it will allow you to better assign the responsibility to collect for a specific collection requirement to a team, capability or external provider which can be regularly assessed to see how it fits into helping meet your organization’s intelligence requirements. When it comes to external providers of intelligence, there’s a number that sit in the intelligence cycle between collection and dissemination. Intel 471 sits primarily in the collection part of the intelligence cycle and works with organizations to more effectively collect against their externally focused collection requirements. When we refer to “externally focused” collection requirements, what we mean is that collection requirements can either be internally focused or externally focused where internally focused collection requirements require visibility on the subject organization’s attack surface. Externally focused collection requirements involves requirements that are adversary/cyber threat actor focused.

The holy grail of cyber threat intelligence prioritization?

The holy grail of cyber threat intelligence prioritization is to have a single long-term prioritized list of production requirements that is updated twice a year. The production requirements should be broad enough to encompass short-term requirements that immediately head to the top of the priority list but are very narrowly focused and only last at maximum 30 days, for example a requirement to assist with incident response to a security breach. In the absence of a single prioritized list, breaking down intelligence priorities by high, medium and low priorities is acceptable and is common practice with most resources going into satisfying high priority items.

Intelligence requirements: Attack surface or adversary focused?

A common question cyber threat intelligence professionals encounter is whether their organization’s intelligence requirements should be attack surface or adversary focused. A single intelligence requirement could be either but not both. An intelligence requirement in the context described above needs to relate to a specific observable that is eventually tasked to a team, capability or external provider so will need to be attack surface or adversary focused.