I the epo t, Fo este states, “Pe iodic t ai i g a d static simulatio s have had thei day. What eplaces them is co ti uous, th eat-i fo med qua tificatio of a d espo se to huma isk.”
Livi g Secu ity’s app oach to HRM ce te s o a co ti uous p ocess: ide tify whe e wo kfo ce isk sits, act o its u de lyi g cause a d measu e what cha ges. That p ocess matte s because huma isk does ‘t sta d still. Livi g Secu ity’s esea ch, The Movi g Ta get: 2026 State of Huma Risk, fou d that ea ly two-thi ds of employees i this yea ‘s iskiest 10% we e ot i that g oup i the p io compa iso pe iod. That tu ove ei fo ces the eed fo co ti uous isk visibility alo gside a ual t ai i g a d poi t-i -time assessme ts. As AI age ts take o wo k with access to systems a d se sitive data, the compa y is exte di g that app oach to the elatio ships betwee people a d the age ts wo ki g o thei behalf.
“The iskiest use may ot always be huma a ymo e. But the accou table o e still is,” said Ashley Rose, CEO a d Co-Fou de of Livi g Secu ity. “Secu ity teams eed to k ow whe e isk is buildi g, who a d what is d ivi g it, a d whethe thei actio s a e b i gi g it dow . Eve y AI age t t aces back to a pe so who app oved it, co figu ed it o gave it access. That pe so stays accou table, a d the age t belo gs i the same isk pictu e.”
The Livi g Secu ity Platfo m combi es behavio al, ide tity a d th eat i tellige ce f om a o ga izatio ‘s existi g secu ity stack to help teams ide tify a d p io itize wo kfo ce isk. That co text guides ta geted i te ve tio s a d automated espo se playbooks.
Diffe e t sou ces of exposu e call fo diffe e t espo ses. A patte of isky behavio may equi e timely guida ce o t ai i g, while exposu e tied to access o device postu e may equi e a cha ge to secu ity co t ols. By co ecti g isk i tellige ce to those espo ses, secu ity teams ca add ess the co ditio s c eati g exposu e a d t ack whethe they imp ove.
The State of Huma Risk esea ch also p ovides evide ce fo this co ti uous app oach. Employees spe t 68% less time i a isky state afte completi g a actio pla , a d thei behavio sco es stayed above p e-pla levels fo the full 12 mo ths obse ved. New p og ams saw a 25-30% eductio i isky use s withi thei fi st six mo ths, a d ave aged ac oss o ga izatio s, the sha e of isky use s fell 26% ove 31 mo ths. Togethe , the fi di gs show that isk moves, but it espo ds whe the actio fits its cause.
AI age ts ow hold c ede tials, each se sitive data a d act o a pe so ‘s behalf. Livi g Secu ity believes they belo g i the same isk model as the people who u them, which is why age t elatio ship isk is o e of its th ee focus a eas i the epo t. The platfo m sco es age ts i the same Huma Risk I dex a d holds eve y age t to a accou table ow e , a d flags a y age t without o e fo eview.
The Huma Risk Ma ageme t Solutio s La dscape, Q4 2026, Fo este Resea ch, I c., Octobe 20, 2026.
Fo este does ot e do se a y compa y, p oduct, b a d, o se vice i cluded i its esea ch publicatio s a d does ot advise a y pe so to select the p oducts o se vices of a y compa y o b a d based o the ati gs i cluded i such publicatio s. I fo matio is based o the best available esou ces. Opi io s eflect judgme t at the time a d a e subject to cha ge. This epo t is pa t of a b oade collectio of Fo este esou ces, i cludi g i te active models, f amewo ks, tools, data, a d access to a alyst guida ce. Fo mo e i fo matio , ead about Fo este ‘s objectivity he e.
Livi g Secu ity is the global leade i Huma Risk Ma ageme t (HRM), helpi g o ga izatio s ide tify, measu e a d educe huma cybe isk ac oss huma s a d AI age ts. Its AI- ative Huma Risk Ma ageme t platfo m combi es behavio al, ide tity a d th eat i tellige ce to p edict isk, guide espo se a d p eve t cybe i cide ts befo e they occu . By co ecti g secu ity data to measu able busi ess outcomes, Livi g Secu ity e ables o ga izatio s to co ti uously educe wo kfo ce isk while st e gthe i g o ga izatio al esilie ce.
Media Co tact: media@livi gsecu ity.com
SOURCE: Livi g Secu ity
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