Managing Intelligence Lifecycle

Managing Intelligence Lifecycle

Overview

Cybersecurity skill for managing intelligence lifecycle. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "managing intelligence lifecycle"
• "Establishing a formal CTI program and defining its operational model"
• "Conducting quarterly intelligence requirements reviews with business stakeholder"
• "Evaluating CTI program maturity against established frameworks (FIRST CTI-SIG ma"

Use this skill when:

• Establishing a formal CTI program and defining its operational model
• Conducting quarterly intelligence requirements reviews with business stakeholders
• Evaluating CTI program maturity against established frameworks (FIRST CTI-SIG maturity model)

Do not use this skill for day-to-day IOC triage or incident-specific intelligence tasks — those use operational intelligence workflows, not lifecycle management.

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Executive sponsorship and defined CTI team structure (1+ dedicated analysts)
• Stakeholder map identifying intelligence consumers (SOC, IR, executive team, vulnerability management)
• Existing feed subscriptions or ISAC memberships for collection baseline
• CTI platform (MISP, ThreatConnect, OpenCTI) for lifecycle management

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Define Objectives — Clarify the goals and scope for intelligence lifecycle.
2. Gather Resources — Collect tools, data, and access needed for intelligence lifecycle.
3. Execute Process — Carry out intelligence lifecycle operations methodically.
4. Verify Quality — Check results against acceptance criteria.
5. Document Outcomes — Record findings, decisions, and next steps.

Tools

• Analysis Platform — Data processing and visualization
• Collaboration Tools — Team coordination and knowledge sharing

Process

1. Scope — Define research questions, identify data sources, set time boundaries
2. Gather — Collect data from primary sources, APIs, and public records
3. Synthesize — Analyze findings, identify patterns, produce actionable report

Verification

• All intelligence lifecycle procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization Table