Lesson 1 of 2 · 20 min read

The Intelligence Cycle, Types of CTI, and Priority Intelligence Requirements

CTI is not a product you buy — it is a capability you build around specific organizational intelligence needs.


The Intelligence Cycle in Practice

Most CTI programs are strongest at Collection and weakest at Direction and Feedback — they know how to subscribe to feeds but not what questions those feeds are supposed to answer.

INTELLIGENCE CYCLE DIAGNOSTIC
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Direction (are we doing this?):
☐ We have documented Priority Intelligence Requirements (PIRs)
☐ PIRs are linked to specific business decisions or stakeholder questions
☐ PIRs are reviewed and updated quarterly
☐ Each collection source maps to at least one PIR

Collection (are we doing this well?):
☐ We know the reliability of each source (single-source vs. corroborated)
☐ We distinguish raw data (IP addresses) from processed feeds (attributed campaigns)
☐ We are not collecting more than we can process and analyze

Processing:
☐ Raw data is normalized before analysis (common timestamp format, IOC format)
☐ Duplicates are identified and removed before analysis
☐ Translation/technical decoding is applied before analysis begins

Analysis:
☐ We distinguish collection (what we observed) from analysis (what we assess)
☐ We use structured analytic techniques (not just "read and summarize")
☐ We calibrate and state confidence levels explicitly

Dissemination:
☐ Different audiences receive appropriately tailored formats
☐ Intelligence is delivered when decision-relevant, not just when complete
☐ Tactical intelligence reaches operational teams in hours, not days

Feedback:
☐ We collect consumer feedback on every major intelligence product
☐ We track whether our predictions were correct (calibration tracking)
☐ Feedback informs next cycle's Direction

Priority Intelligence Requirements — Writing Workshop

EXAMPLE PIR DEVELOPMENT

BUSINESS CONTEXT:
A financial services organization has experienced phishing attacks targeting their 
Microsoft 365 tenant. The CISO wants to understand the threat.

BAD PIR: "What are threat actors doing to financial organizations?"
  Problem: Too broad, not linked to a specific decision, impossible to fully answer

BAD PIR: "Tell me about phishing."
  Problem: Not a question, no decision link, no timeframe

GOOD PIR: "Are threat actor groups known to use AiTM (Adversary-in-the-Middle) 
phishing techniques currently targeting financial services organizations' M365 
tenants? If so, what specific lures, infrastructure, and initial access techniques 
are they using?"
  
  Decision relevance: "This determines whether we prioritize Conditional Access 
  policy hardening for legacy auth, deploy Microsoft Defender for Cloud Apps 
  monitoring, or accelerate phishing-resistant MFA rollout in Q4."
  
  Consumer: CISO and Security Architecture lead
  Timeline: Required by September 15 for Q4 budget planning
  Current knowledge: We have seen 3 AiTM attempts against our own users 
  (internal incident data). We do not know if this is targeted or opportunistic.

RESULTING COLLECTION TASKS:
  - Search threat intel platforms for AiTM campaigns targeting financial sector 
    (Evilginx, Modlishka, indirect proxy phishing)
  - Review FS-ISAC alerts and member bulletins for the past 90 days
  - Search OSINT for public reporting on AiTM campaigns (Mandiant, Secureworks, 
    Microsoft MSTIC)
  - Correlate internal incident IOCs against threat intel databases

Strategic vs. Operational vs. Tactical: Matching Intelligence to Decision

INTELLIGENCE LEVEL DECISION TABLE

STRATEGIC INTELLIGENCE DRIVES:
  → Annual security investment allocation
  → Cyber insurance coverage decisions
  → M&A security due diligence
  → Board-level risk communication
  → Long-term security architecture decisions
  Example product: "2025 Threat Landscape Report: Key Risks for [Industry] Organizations"

OPERATIONAL INTELLIGENCE DRIVES:
  → Quarterly detection tuning priorities
  → IR team training and tabletop scenario selection
  → Vendor and supply chain risk assessment
  → Security control coverage gap analysis
  Example product: "Q3 Active Campaigns Targeting [Industry]: Threat Brief"

TACTICAL INTELLIGENCE DRIVES:
  → SIEM rule updates (add new IOC to blocklist)
  → Firewall ACL changes (block specific IP range)
  → Vulnerability patching priority adjustments
  → EDR exclusion review (is a newly observed technique evading our EDR?)
  Example product: IOC feed, YARA rule, Sigma detection, vulnerability advisory

MISMATCH EXAMPLES (what goes wrong):
  → Giving a C-suite exec a list of 500 IPs (tactical → strategic consumer = wrong)
  → Giving a SOC analyst a 40-page threat landscape report when they need an IOC list
  → Providing a vulnerability score without exploitation context (not actionable)