AI for Threat Intelligence

IOC analysis, threat actor profiling, intelligence reports, and feed triage. Built for cybersecurity analysts tracking adversaries and campaigns.

Before using these resources:

  • AI output requires human verification before any action is taken.
  • Never paste sensitive data, real IPs, internal hostnames, credentials, or PII into public AI tools.
  • AI hallucinates CVEs, regulations, and findings. Always cross-check.
  • Check your organization's AI acceptable use policy before using these tools at work.

Prompts

ioc analysis

IOC Triage and Context

Given this indicator of compromise, tell me:
1. What type of IOC this is (IP, domain, hash, URL, email, TTP)
2. Known associations (actor, campaign, malware family) if publicly reported
3. Confidence level of the association and why
4. What I should pivot to next (related hashes, registrar info, WHOIS history, passive DNS)
5. What defensive actions this IOC supports (block, alert, hunt)

IOC: [paste IOC]

Do not fetch live data. Only cite what you know from public research up to your training cutoff.

When to use: Use for initial orientation on an unfamiliar IOC. Always verify claimed attributions in VirusTotal, abuse.ch, or your CTI platform.

LLMs routinely hallucinate actor attribution and malware family associations. Treat output as a hypothesis, never as attribution.

intel report

Admiralty-Graded Intelligence Report

Write a threat intelligence report using Admiralty grading. Structure:
- BLUF (one paragraph, confidence qualified)
- Key findings (3-5 bullets, each with a confidence tag)
- Source reliability (A-F) and information credibility (1-6) for each source
- Technical details
- Recommended actions (detection, response, strategic)
- Intelligence gaps and collection requirements

Raw reporting:
[paste your sanitized collected intel]

When to use: Forces the report to be honest about what is known vs. assumed. Distributes well to both SOC and leadership audiences.

Tools

ChatGPT

Freemium

OpenAI's general-purpose conversational AI. Best for drafting, explanation, and structured reasoning. GPT-4o and o1 models handle cybersecurity reasoning better than smaller tiers.

For Threat Intelligences: Use Plus tier for longer context windows and file uploads. Custom GPTs let you save repeat prompts.

DecipherU take: Strong default. Weaker at niche cybersecurity tool syntax (specific SIEM DSLs, cloud IAM edge cases). Cross-check technical output.

Visit official site →

Claude

Freemium

Anthropic's conversational AI. Claude Opus and Sonnet models are strong at long-form analysis, careful reasoning about risk, and producing structured writeups.

For Threat Intelligences: Longer context windows than most alternatives. Projects let you persist role-specific instructions across chats.

DecipherU take: Excellent for policy drafting, incident writeups, and threat modeling. More cautious than ChatGPT, which is a feature in cybersecurity, not a bug.

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Microsoft Copilot for Security

Paid

Purpose-built security-focused AI assistant integrated with Microsoft Sentinel, Defender, Intune, and Entra ID. Natural language over security telemetry.

For Threat Intelligences: Best value if your stack is already Microsoft. Stays inside your tenant, so data residency and compliance are straightforward.

DecipherU take: Worth it for SOC teams already on Microsoft Defender and Sentinel. Not worth switching stacks for.

Visit official site →

Workflows

No workflows curated for Threat Intelligence yet.

The DecipherU team vets every resource before adding it. Subscribe below to hear when new workflows ship.

Skills

No skills curated for Threat Intelligence yet.

The DecipherU team vets every resource before adding it. Subscribe below to hear when new skills ship.

Custom GPTs

No custom GPTs curated for Threat Intelligence yet.

The DecipherU team vets every resource before adding it. Subscribe below to hear when new custom GPTs ship.

Last verified: April 2026?Report an inaccuracy

Sources

  1. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2024 · Median salary and employment data for cybersecurity occupations
  2. O*NET OnLine · Occupation profiles, skills, and knowledge areas
  3. NIST NICE Framework (SP 800-181) · Work role definitions and required skills
  4. MITRE ATT&CK · Adversary tactics, techniques, and procedures reference

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