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

Apple Machine Learning Research
Apple Machine Learning Research
爱范儿
爱范儿
博客园_首页
博客园 - 【当耐特】
V
Visual Studio Blog
博客园 - 叶小钗
月光博客
月光博客
美团技术团队
J
Java Code Geeks
小众软件
小众软件
Y
Y Combinator Blog
博客园 - Franky
Martin Fowler
Martin Fowler
博客园 - 聂微东
Microsoft Azure Blog
Microsoft Azure Blog
IT之家
IT之家
MyScale Blog
MyScale Blog
人人都是产品经理
人人都是产品经理
Microsoft Security Blog
Microsoft Security Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
阮一峰的网络日志
阮一峰的网络日志
酷 壳 – CoolShell
酷 壳 – CoolShell
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
云风的 BLOG
云风的 BLOG

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
Actionable intelligence — Is it a capability problem or d...
2016-05-19 · via Intel 471 Blog

By Mark Arena, CEO of Intel 471.

Significant numbers of security and threat intelligence vendors spruik their intelligence or data as being the most actionable but is it? In this post I’ll hope to make the argument that whether intelligence is actionable or not is really up to the consumer of said intelligence, not the producer.

Let’s start with an example:

Intelligence is passed to XYZ Corporation, which is a United States based bank, that they will be targeted by an attack from a well known cyber espionage group tomorrow that has previously targeted executives of other banks. The attacker group is known as Team Panda and APT Group 10 and is known to use the PlugX trojan that is delivered via spear-phished emails with .xls (Microsoft Excel) attachments. This attack, due tomorrow, will use the domain teampanda10.com as their malware command and control server.

In the above example, one would say that there’s a number of elements of the above intelligence that could lead to it being actionable in most organizations today in the banking sector. Let’s list some of those elements:

  • Time of attack (tomorrow)
  • Likely targets (executives)
  • Trojan to be used (PlugX)
  • Method of dropping the trojan (spear-phished .xls file)
  • Command and control server used (teampanda10.com)

Now let’s rewind the clock back ten years to 2006 and change the target organization. Using the same above example, the target is now ABC Corporation, which is an Italian e-commerce company and this warning was sent in 2006 for an attack that was to occur the following day. At that time, ABC Corporation did not have any capability to block IP addresses, let alone the ability to seek to block suspicious .xls attachments in emails. What we effectively have here is great intelligence but little to no capability to act upon it.

If at this point we accept that intelligence is actionable based on the organization consuming it, it brings us to the next issue: how does one measure the effectiveness or not of vendors that provide intelligence or intelligence information/data. If you recall a previous blog post I wrote on writing intelligence requirements for your cyber threat intelligence program, you will see that the success or not of your intelligence program is directly linked to how your intelligence program supports the priorities of your business and the risks against it.

Based on the above points, evaluating threat intelligence providers should be based on your intelligence requirements and how intelligence providers measure up against these requirements. Some intelligence providers may simply be providing intelligence or intelligence information that you are not yet able to action. Additionally, some intelligence providers may be geared towards supporting the requirements of different verticals to your own.

Whether intelligence is actionable or not is really a reflection of an organization’s capability, not a quantitative metric for an intelligence producer.

Actionability is often a reflection of capability.