Legacy MDR se vices, eve those ow maki g bold AI claims, too ofte make secu ity teams do too much of the wo k. Shallow a d poo ly explai ed i vestigatio s, weak se vice a d accou tability, a d limited cove age ac oss the secu ity stack leave teams wo de i g whethe case co clusio s a d ecomme ded actio s ca be t usted. Fo lea secu ity teams, cove age alo e is ot e ough. They eed t a spa e t, evide ce-backed i vestigatio s that suppo t bette secu ity decisio s.
The ma ket is i c easi gly skeptical of AI claims a d bolted-o AI. Buye s wa t high-quality outcomes, a d simply laye i g AI o to the same opaque, labo -i te sive MDR model does ot fix what buye s dislike about it. Ai MDR was built diffe e tly: age tic AI does the i vestigative wo k, huma expe ts p ovide ove sight a d accou tability, a d custome s get fast, t a spa e t cases they ca i spect a d t ust.
Leadi g a alyst fi ms put age tic app oaches squa ely i to the MDR buyi g co ve satio , while co ti ui g to t eat huma expe tise as pa t of the se vice. Secu ity ma ket a alysts expect AI to take o fa mo e of the wo kload, fo ecasti g that i e out of te i itial MDR fi di gs will soo be wo ked o a d add essed by AI without a pe so eedi g to step i .
The compa y’s ece t g owth eflects g owi g dema d fo this app oach. Seve of Ai MDR’s eight most ece t custome s switched f om a legacy MDR ve do . Custome s a e highly satisfied with the switch to age tic MDR, with Ai MDR eceivi g a Net P omote Sco e (NPS) of 69, based o espo ses f om 84% of custome s si ce Ap il, a st o g sig al of custome loyalty a d satisfactio .
“Legacy MDR asks custome s to t ust the p ovide . We believe they should be able to t ust the outcome,” said Kuma Sau abh, CEO of Ai MDR. “Secu ity teams eed mo e tha co fi matio that a ale t was ha dled. They eed to u de sta d the evide ce, easo i g, a d co clusio behi d the i vestigatio . That’s why we’ e buildi g ou AI MDR a ou d age tic mo ito i g, detectio , i vestigatio a d espo se combi ed with huma ove sight a d accou tability.”
Faste MDR outcomes o ly matte if the ight th eats a e detected a d the esulti g cases ca be t usted. Ai MDR’s adva ces this last yea st e gthe the path f om detectio to decisio : expa di g detectio cove age, maki g i vestigatio quality t a spa e t a d measu able, a d givi g secu ity teams a ha ds-o way to evaluate age tic i vestigatio s fo themselves. Rece t p oduct mome tum i cludes:
Expa ded detectio e gi ee i g : Ai MDR ow suppo ts app oximately 3,000 detectio s. Histo ically, setti g up detectio s fo custom data sou ces equi ed o e to two weeks of ma ual wo k. Ai MDR’s age tic detectio -e gi ee i g wo kflow has educed that to app oximately o e day.SOC G ade : A ope -sou ce tool that makes i vestigatio quality measu able a d t a spa e t. It evaluates i vestigatio w ite-ups agai st a published ub ic cove i g i vestigatio pla s, evide ce, co text, atio ale, a d ext steps, givi g secu ity teams a way to assess the complete ess, cla ity, a d actio ability of i vestigatio outcomes athe tha elyi g solely o speed o ve do claims. This alig s with i dust y a alyst views that MDR pe fo ma ce measu eme t should i clude quality of the outcomes delive ed.FAST : A o-cost way fo secu ity teams to put Ai MDR’s age tic AI i vestigatio s to the test o thei ow ale ts. Teams ca co ect thei secu ity tools a d u up to 100 i vestigatio s – i depe de tly o with guida ce f om Ai MDR expe ts – to i spect the evide ce, easo i g, ve dict, a d ecomme ded actio s fo themselves.
Ai MDR’s g owth follows a $15.5 millio seed fu di g ou d a ou ced i July 2025. As Ai MDR co ti ues to expa d its age tic MDR capabilities, the compa y emai s focused o helpi g lea secu ity teams achieve secu ity outcomes they ca u de sta d, ve ify, a d t ust.
Ai MDR is a MDR p ovide fo lea secu ity teams. Its ma aged se vice spa s mo ito i g, detectio , t iage a d i vestigatio , a d espo se. Age tic AI p ovides speed a d scale, while huma expe ts p ovide judgme t, co ti uous imp oveme t, a d accou tability. Ai MDR measu es i vestigatio quality as well as speed a d delive s t a spa e t, evide ce-backed cases – helpi g teams achieve bette detectio -a d- espo se outcomes with less ope atio al wo k.
Fou ded i 2023 a d based i Me lo Pa k, Ai MDR was built by ope ato s with ha ds-o expe ie ce ac oss SIEM, SOAR, a d MDR.
Lea mo e at Ai MDR.com.
