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Fensivo
Human risk management that learns from every signal
Most security tools run the same campaign for everyone and never improve. Fensivo learns. Every leaked credential, every simulation result, every slip feeds a per-person risk model that gets sharper over time, so each attack we send is better matched to who is actually vulnerable and why. It monitors the dark web, runs personalized phishing simulations, and trains people the moment they slip. Connects to Google Workspace or Microsoft 365 over OAuth, live in a day.
Hey Product Hunt! Jose here, founder of Fensivo. 👋
Many companies treat security training as a box to check: one campaign a quarter, a course nobody finishes, a report that proves activity but not safety. Meanwhile attackers got personal, patient, and relentless. Now they'v built CRMs and enriched data rooms for their preys, and the defense never improved, it just resets every quarter.
So we built the opposite: a human risk platform that learns from every signal. Each leaked credential we find on the dark web, each simulation someone passes or fails, each moment they slip, all of it feeds a per-person risk model. The longer it runs, the better it predicts who is vulnerable, to which pretext, and when, so the next simulated attack is sharper than the last. We train people the moment they fall and retest them later, but the real engine is the continuous learning underneath, not any single trick.
One thing we refuse to fake: finishing a course does not predict whether someone resists a real attack, so we built a model that is not selling completion rates and have started proving behavior change.
We are early and built natively for Latin American companies, a market most tools reach only as a translation.
I would love your honest take on two things:
does "a system that learns per person" land as real, or sound like a buzzword?
And if you have sold to security buyers, did you lead with the differentiator or with the pain? I am here all day. Fire away. 🚀
How does the per-person risk model handle employees who switch teams or roles often, does it retrain automatically or do you need to manually flag the change?
how does the per-person risk model actually get smarter over time without feeling creepy or invasive to the people being profiled?
The per-person risk model actually feels useful here, not just a buzzword. Watched it flag a couple of teammates with different attack styles after one round of sims, which is more than the usual blanket phishing test does.
About Fensivo on Product Hunt
“Human risk management that learns from every signal”
Fensivo was submitted on Product Hunt and earned 6 upvotes and 7 comments, placing #80 on the daily leaderboard. Most security tools run the same campaign for everyone and never improve. Fensivo learns. Every leaked credential, every simulation result, every slip feeds a per-person risk model that gets sharper over time, so each attack we send is better matched to who is actually vulnerable and why. It monitors the dark web, runs personalized phishing simulations, and trains people the moment they slip. Connects to Google Workspace or Microsoft 365 over OAuth, live in a day.
Fensivo was featured in SaaS (43k followers) and Security (2.7k followers) on Product Hunt. Together, these topics include over 54k products, making this a competitive space to launch in.
Who hunted Fensivo?
Fensivo was hunted by Jose Chavez. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Fensivo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jose Chavez