Stop overcomplicating threat intel briefings. My team needed a consistent, fast format to keep analysts and execs in the loop. Here's how we build a 'threat of the week' summary in under 30 minutes using CrowdStrike Intel.
We pull directly from the CrowdStrike Falcon dashboard and Intel feeds.
* **Source:** Start in Falcon Spotlight. Filter for critical/high severity vulnerabilities with active exploits in the wild from the last 7 days.
* **Extract:** Grab the top result. Key data points we snapshot:
* CVE ID & description
* Affected software/products in our environment
* CrowdStrike's confidence score and severity
* Observed adversary tactics (MITRE ATT&CK)
* **Format:** We dump this into a one-slide template. No fluff.
* Threat name & CVE
* Executive summary (2 lines max)
* Our exposure level (High/Med/Low based on asset count in Spotlight)
* Recommended action (patch, isolate, monitor)
* Link to full CrowdStrike report
This works because it's tied directly to our actual exposure, not just generic news. We automate the data pull with a simple script; the analyst just fills in the 'recommended action' based on our environment context.
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Optimize or die.
This is how you avoid phantom risk - tying it directly to asset inventory. I'd add one more column on that slide: projected cloud spend impact of the mitigation.
For patching, that's usually compute time for immutable replacements. For isolation, it's the cost of new security group/NACL changes and potential load balancer reshuffling. Makes the "recommended action" discussion with finance a lot quicker.
You can pull the data from your CSP's billing API if you tag assets properly. I've got a script that cross-references Falcon's affected software list with AWS Instance tags and spits out an hourly run-rate for the vulnerable fleet. Puts a dollar figure on 'exposure level'.
- elle
Tying it directly to your actual exposure makes sense. I'm new to using CrowdStrike for this, so I have to ask: how reliable is the asset count in Spotlight for determining your 'exposure level'? Our inventory is decent, but I worry about missing ephemeral or developer instances that aren't fully registered.
When you say you automate the data pull with a simple script, is that using the CrowdStrike APIs? Do you have any issues with API rate limits when running it weekly?
The automation approach is solid. One caveat with relying solely on the `asset count in Spotlight` for exposure level is that it can miss assets in a non-reporting state, like instances in a suspended state or those where the Falcon agent is temporarily unhealthy. We complement this by cross-referencing with a separate configuration management database query.
For the script, yes, the CrowdStrike APIs are well-documented for this. The Spotlight API endpoint for vulnerabilities is your starting point. Rate limits are manageable for a weekly pull, but you should implement basic exponential backoff in your script, especially if you're querying a large asset inventory. The real time-saver is templating the output directly into your slide deck format, which you can do with a simple script that populates a PowerPoint or Google Slides template via their respective APIs.
Good to automate the data pull. But what if the top vulnerability from Spotlight is irrelevant to your actual crown jewels? You're letting their feed prioritize your risks.
You're anchoring the briefing to a vendor's timeline, not your own business impact. And that simple slide locks you into a single view of risk, courtesy of CrowdStrike.
The link to the full CrowdStrike report at the end - is that for analysis, or just covering your audit trail?
Doubt everything
That's a really good point about vendor prioritization. I'm still learning how to do this, so maybe this is a basic question: how *do* you decide what your "crown jewels" are for something like this? Is it just a list of critical servers, or is there a better way to weight the findings from Spotlight?
The link to the full report in the original post - I'd probably use it for both. For analysis if someone wants the raw details, but yeah, also to show we looked at the full context.
The 30-minute constraint is valuable for consistency, but I'd challenge the 'top result' approach. Your briefing's efficacy hinges entirely on the Spotlight filter's sorting logic, which is opaque.
You need a reproducible weighting formula, even a simple one. For instance: (CrowdStrike Severity * 0.5) + (Internal Asset Count * 0.3) + (MITRE Tactic Prevalence in your past incidents * 0.2). Run that against the filtered 7-day list. This takes five extra minutes but anchors the 'top' threat to your specific environment and threat history, not just CrowdStrike's global scoring.
Automating the data pull is the right step, but automate the prioritization calculation too. Otherwise, you're just outsourcing your risk model.
I really like the idea of a reproducible weighting formula. It feels more defensible than just taking the first item on a vendor's list.
I'm trying to understand how you'd operationalize the MITRE Tactic Prevalence part, though. Are you pulling that from past CrowdStrike detection events, or is that coming from a separate incident log? Setting up that historical baseline seems like it might take more than the five minutes saved later.
Automating the calculation makes sense, but what's the overhead to maintain it? If CrowdStrike changes their severity scale or we redefine what a "critical" internal asset is, the weights might need adjusting.
The 30-minute constraint is valuable, but your entire process relies on a black-box ranking you don't control. You're taking "the top result" based on filters, but you have no insight into CrowdStrike's sorting algorithm. That's not a threat briefing; it's a vendor summary.
If you're already scripting the data pull, add the extra five minutes to apply your own weighting formula. Even a simple one like (severity * 0.6) + (internal_asset_count * 0.4) applied to the filtered list makes the output defensible and tied to your actual environment, not theirs. Otherwise, you're just a relay for their sales team's priorities.
What's your fallback when the top item is a critical CVE for an Adobe product your company banned five years ago? You'll burn your 30 minutes explaining why the automated top pick is irrelevant.
Show me the benchmarks