I built an AI that tells you your 3 biggest cyber risks every morning
Every morning, most founders open their laptop and hope nothing broke overnight.
I've spent enough time watching how companies actually deal with cyber risk day to day. Not in theory. In practice.
What I saw was a mess of tabs. A Slack alert from the SOC team. A VAPT report from last quarter still sitting unread. A vendor spreadsheet that nobody updates. A compliance checklist that lives in someone's email.
And somewhere in all of that, a real threat quietly doing its thing.
So we built something inside ๐๐ผ๐ฟ๐ฑ๐ผ๐ป ๐๐.
Every morning, you can give a simple command "๐ฆ๐ต๐ผ๐ ๐บ๐ฒ ๐๐ต๐ฒ ๐บ๐ผ๐๐ ๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐ฎ๐น๐ฒ๐ฟ๐๐ ๐ณ๐ฟ๐ผ๐บ ๐๐ต๐ฒ ๐น๐ฎ๐๐ ๐ฎ๐ฐ ๐ต๐ผ๐๐ฟ๐". AI scans your entire risk surface suc as SOC alerts, vulnerability findings, dark web exposure, vendor health, compliance gaps and surfaces the top things that actually need your attention today.
๐๐
๐ฎ๐บ๐ฝ๐น๐ฒ -
๐๐ผ๐ฟ๐ฑ๐ผ๐ป ๐๐ | ๐๐ฎ๐ถ๐น๐ ๐๐ฟ๐ถ๐ฒ๐ณ๐ถ๐ป๐ด | ๐ญ๐ฑ ๐๐ฝ๐ฟ, ๐ฌ๐ด:๐ฌ๐ฌ ๐๐
๐ญ. ๐๐ฟ๐ฒ๐ฑ๐ฒ๐ป๐๐ถ๐ฎ๐น ๐ฑ๐๐บ๐ฝ ๐ฑ๐ฒ๐๐ฒ๐ฐ๐๐ฒ๐ฑ โ 2,847 records linked to your domain (3h ago)
๐ฎ. ๐๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐๐ป๐ฝ๐ฎ๐๐ฐ๐ต๐ฒ๐ฑ ๐ฅ๐๐ ๐ถ๐ป ๐๐ผ๐๐ฟ ๐ฝ๐ฎ๐๐บ๐ฒ๐ป๐ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ โ open for 6 days
๐ฏ. ๐๐ฒ๐ ๐๐ฒ๐ป๐ฑ๐ผ๐ฟ ๐ฟ๐ถ๐๐ธ ๐๐ฐ๐ผ๐ฟ๐ฒ ๐ฑ๐ฟ๐ผ๐ฝ๐ฝ๐ฒ๐ฑ ๐๐ต๐ฎ๐ฟ๐ฝ๐น๐ โ worth a conversation today
No analyst needed. No dashboard archaeology. Just three things, every morning, so your team knows exactly where to start.
We're still figuring out the right signals for different industries. BFSI looks different from a SaaS company, which looks different from a manufacturer.
What does your morning security routine actually look like right now? Curious whether anyone has cracked this or if everyone is still doing the tab-juggling thing.
๐๐ง๐ช ๐๐ต๐ถ๐ ๐ถ๐ ๐บ๐ ๐๐ถ๐๐ฒ: https://trygordon.ai/
The โdashboard archaeologyโ line is painfully accurate โ most teams donโt lack data, they lack prioritization under pressure.
The daily briefing approach makes a lot of sense, especially if it consistently surfaces what actually needs action.
Curious though โ how are you seeing teams validate whether acting on these alerts is actually reducing real risk vs just improving visibility? That feedback loop feels critical but often missing.
Iโve been noticing some teams run small, high-intent experiments (fixed low entry, limited participation, strong upside) alongside systems like this to test what actually drives meaningful outcomes โ surprisingly effective for early-stage validation.
Feels like that layer could complement something like this really well. Have you explored it?
That feedback loop is exactly what we're still building out. Right now, we track whether flagged items get actioned, but connecting that to actual risk reduction is currently under process. however, we do have this thing in mind
How has the uptake of this been?
pretty good. Our clients are actually loving this feature
The "tab-juggling thing" is universal โ and the real problem isn't the number of tabs, it's that each one requires context-switching into a completely different mental model. SOC alerts speak one language, VAPT reports another, compliance checklists a third. By the time you've translated all three it's 10am and you haven't actually done anything yet.
The morning briefing format is the right instinct. The hardest part is probably the signal-to-noise calibration you mentioned โ what counts as "critical" varies enormously not just by industry but by company stage. A credential dump means something very different to a 10-person startup than to a bank.
One question worth thinking through: how do you handle the case where the AI surfaces the same top-3 risks three days in a row because nobody actioned them? Does it escalate, or does the founder start tuning it out like every other alert system?
It escalates after 48 hours and surfaces to a different stakeholder. alert fatigue kills every security tool eventually so we're trying to stay ahead of it.
This is a solid use case โ especially the โjust 3 things that matter todayโ angle, feels very practical.
One thing that stood out though โ in security tools, trust and perceived seriousness play a huge role even before someone tries it.
The product itself feels quite sharp, but the โGordon AIโ side leans a bit more casual / assistant-like, while the problem youโre solving is actually pretty high-stakes.
In spaces like this, even small perception gaps can affect how quickly someone takes it seriously enough to try.
Curious โ have you explored how people react to the name itself vs the actual product value?
Fair point! The name was intentional.... wanted it to feel approachable for founders who aren't security people but you're right that there's a perception tension there. still figuring out where that line sits.
Yeah โ that tradeoff is tricky.
Approachability helps people try it, but in security the first filter is often โdo I trust this enough to rely on it?โ
One pattern Iโve seen work is:
keep the approachable entry point, but make sure the โserious layerโ is immediately visible once someone leans in (docs, positioning, tone).
So the product can feel friendlyโฆ but the system behind it feels dependable.
Feels like youโre already close to that line.
Thanks, would definitely try your suggestion
Thatโs exactly where names start pulling weight.
โGordon AIโ makes it feel like a helper โ but the job itโs doing is closer to risk control / decision layer.
In security, people donโt just try tools โ they trust them.
Usually the ones that convert fastest feel a bit more โinfrastructure-gradeโ from the name itself.
If you ever push this more seriously, worth tightening that layer โ happy to share a couple directions that keep it approachable but add that trust signal.