As o ga izatio s co te d with i c easi gly sophisticated phishi g, ide tity attacks, i side th eats, a d AI-d ive deceptio ,
Rathe tha sta ti g with secu ity awa e ess t ai i g, phishi g simulatio s, o tech ology pu chases, the f amewo k helps o ga izatio s defi e the busi ess outcome they wa t to p eve t a d the alig behavio al sig als, ide tity i tellige ce, secu ity co t ols, a d ta geted i te ve tio s a ou d educi g measu able huma cybe isk.
“Secu ity teams have spe t yea s optimizi g activities i stead of outcomes,” said Ashley Rose, CEO a d co-fou de of Livi g Secu ity. “Most p og ams begi by aski g what platfo m to buy o what t ai i g to deploy. We believe Huma Risk Ma ageme t should begi by ide tifyi g the p eve table b each that matte s most to the busi ess. O ce you defi e that outcome, eve y decisio , f om ide tity a d behavio to policy, t ai i g, a d gove a ce, becomes alig ed a ou d educi g measu able isk.”
The
The fi st is the b each eve y o ga izatio i vestigates. The seco d begi s days o weeks ea lie , whe behavio al a d th eat sig als quietly accumulate ac oss ide tity p ovide s, email systems, SaaS applicatio s, e dpoi t tools, a d othe secu ity tech ologies.
While o ga izatio s have i vested heavily i detecti g attacks al eady i p og ess, ma y still st uggle to co ect these sig als i to actio able i tellige ce. As a esult, secu ity teams ofte lack the co text eeded to p io itize the ight i te ve tio s ac oss huma s a d AI age ts befo e i cide ts occu .
By co ti uously co elati g behavio , ide tity, a d th eat i tellige ce, Huma Risk Ma ageme t e ables o ga izatio s to p edict isk befo e i cide ts occu a d p io itize i te ve tio s whe e they will have the g eatest busi ess impact.
The f amewo k p ovides secu ity leade s with a p actical ope ati g model fo educi g huma cybe isk:
Name the p eve table b each the o ga izatio efuses to accept.Fi d the wo kfo ce coho t whose behavio al, ide tity, a d th eat sig als i dicate elevated isk.Act th ough ta geted i te ve tio s, i cludi g coachi g, secu ity awa e ess t ai i g, ta geted phishi g simulatio s, policy updates, access co t ols, a d automated playbooks.P ove success by measu i g eductio s i Huma Risk I dex (HRI) a d demo st ati g busi ess outcomes tied to the o igi al i cide t.
Togethe , these fou steps p ovide a epeatable ope ati g model fo co ecti g behavio al sig als to measu able busi ess outcomes.
Rathe tha t eati g eve y employee the same, the f amewo k e ables o ga izatio s to focus esou ces whe e they will have the g eatest impact.
O e of the co e p i ciples behi d the f amewo k is that huma cybe isk is highly co ce t ated.
Resea ch co ducted with the Cye tia I stitute fou d that app oximately 10% of use s accou t fo 73% of measu able huma isk, allowi g o ga izatio s to p io itize i te ve tio s fo the i dividuals most likely to co t ibute to futu e i cide ts athe tha applyi g ide tical co t ols ac oss the e ti e wo kfo ce.
“The goal is ‘t to t ai eve yo e mo e,” Rose said. “It’s to ide tify the people a d behavio s t e di g towa d a specific i cide t, i te ve e befo e that i cide t occu s, a d demo st ate measu able isk eductio . That’s the p omise of mode Huma Risk Ma ageme t.”
The i t oductio of
Rathe tha measu i g cou se completio s o phishi g click ates alo e, mode Huma Risk Ma ageme t combi es behavio al, ide tity, a d th eat i tellige ce to co ti uously ide tify wo kfo ce isk a d p io itize i te ve tio s whe e they will have the g eatest impact ac oss both huma s a d AI age ts.
Ashley Rose will p ese t the
The f ee Sta t With the Why Huma Risk Ma ageme t Comma d Kit helps o ga izatio s put the f amewo k i to p actice a d i cludes:
The Top 10 P eve table Huma Risk I cide ts
Executive wo kshop guides
Huma Risk Ma ageme t pla i g exe cises
Team alig me t wo ksheets
P actical f amewo ks fo measu i g busi ess outcomes
O ga izatio s ca dow load the f ee
Livi g Secu ity is the global leade i
