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Fensivo
Human risk management that learns from every signal
18 followers
Human risk management that learns from every signal
18 followers
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.
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?
@gnesrpq Good question. Since we connect to your Google Workspace or Microsoft 365 directory over OAuth, as long as that directory is kept up to date we just read the change from there, so a move to a new team or role flows in on its own, no manual step. If the directory isn't kept updated, then yes, that change would need to be flagged by hand. Either way the risk history stays with the person, not the team, so they don't start from zero after a move.
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.
@sudenazengez Thank you, that's exactly the moment we built it for. One blanket phishing test hides all of that, but people slip for different reasons, so showing who is at risk and why is the whole point. Really glad it landed that way for you!