Actionable Threat Intelligence, with AI
A CISA advisory drops about a ransomware group actively targeting small financial institutions. The IT manager reads it, recognizes the group name from recent news, and isn't sure what to do next. The advisory lists TTPs along with some random IOCs. Without a process to contextualize it, the IT manager places it into a folder and nothing happens.
That gap between receiving threat information and acting on it is what threat intelligence programs are built to address. For most organizations, the barrier has been one of limited capacity. Turning raw threat data into usable guidance takes expertise and time that many teams don't have. That constraint has started to shift.
More Than a Feed
Threat intelligence is associated with fancy tech platforms and six-figure tooling budgets. In practice, it is any information that helps you make better security decisions. Most organizations receive raw intel already. CISA's Known Exploited Vulnerabilities catalog is updated daily with new CVEs. The FBI publishes flash alerts for active threats. MS-ISAC produces advisories tailored to state, local, tribal, and territorial entities. If your industry has an ISAC, there is likely a steady stream of sector-specific alerts coming through it.
The problem is not access to information. It is the gap between raw data and actionable context. Large organizations have analysts who read threat reports and translate them into risk language: which systems are affected, which tactics map to existing controls, and which indicators should be pushed to detection tools. That translation step is where most of the value is generated. Without someone to do it, the report sits unread or gets forwarded to a folder that nobody reviews.
The Translation Problem
AI tools are well-suited to the translation step. They can summarize dense technical content, reframe it for a specific environment or audience, and produce structured output from unstructured input. That is not intelligence analysis in a formal sense. It is closer to triage assistance. But for organizations without dedicated analysts, that is often the capability that is missing.
The practical outcome is a shorter path from "here is a threat report" to "here is what it means for us." AI tools don't replace judgment about what to prioritize or how to respond, but they can reduce the labor cost of getting there. Moreover, this doesn’t require proprietary threat feeds or expensive tooling. Public sources provide plenty of raw material. A general-purpose AI tool is enough to start extracting value from what is already available. Use cases that consistently produce useful output include CVE triage, threat actor profiling, IOC formatting, detection query drafting, and executive summarization.
Putting It to Work
Here are four specific tasks that are accessible to most organizations today.
CVE Triage
When a new CVE comes out, the entry includes a description, affected products, and sometimes remediation guidance. What it doesn't include is context for your specific environment. Paste the entry into an AI tool and ask a direct question: "We run [specific application and version]. Does this vulnerability affect us, and what should we check for?" The result is a plain-language risk assessment tailored to your stack rather than a CVSS score without context. This works for NVD entries as well, particularly for patches where the severity rating doesn't fully reflect exploitability in your environment.
Threat Actor Contextualization
When a threat group makes headlines for targeting your sector, take a public report, whether that is a CISA advisory, a Mandiant write-up, or a CrowdStrike blog post, and ask an AI tool to summarize their known tactics and identify which of those tactics your current controls are designed to address. This can provide a rough gap analysis in a fraction of the time a manual review would take.
IOC Processing
Public threat reports and advisories routinely publish IOCs like IP addresses, file hashes, and domains associated with known threat actors. Searching for those indicators in your SIEM is straightforward and any hits should lead to full threat hunting exercise if not an incident response activation.
Executive Summarization
Security bulletins are written for technical audiences. They assume familiarity with terminology, architecture concepts, and the significance of specific control gaps. Leadership audiences need a different version: what happened, who is at risk, what the business impact could be, and what decision is being asked of them. AI can translate a technical advisory into a three-paragraph summary suitable for a leadership briefing, with business impact language and a clear recommended action plan.
Where to Start
The sources are free. CISA's Known Exploited Vulnerabilities catalog is public and searchable. MS-ISAC advisories are available to members at no cost. FBI flash alerts are distributed broadly. Sector-specific ISACs like FS-ISAC for financial services and H-ISAC for healthcare publish member-facing intelligence on a regular cadence.
A practical starting workflow: once a week review new CVEs. For any entry that matches software your organization runs, put it through an AI tool with your environment context included in the query. This process can even be automated. Flag anything that applies to systems you own and bring it into your patching process or risk register.
Keep in mind that specificity matters. An AI query that names your specific technology stack produces more relevant output than a generic question. The more context you give, the more useful the response. The goal is not a full threat intelligence program on day one. It is a repeatable habit that builds context over time and eventually becomes part of how your team operates.
Develop a Process
Organizations that start small with threat intelligence, even a weekly review of public sources, develop a sharper picture of their risk environment over time. The interest compounds. The team gets better at asking useful questions. The outputs become more tailored to the actual environment. That is how programs mature. Groman Cyber helps organizations build structured threat intelligence workflows, develop reporting processes, and integrate intelligence into their existing security programs. Contact us to get started.