EDEN PRAIRIE, Mi ., Aug. 03, 2026 (GLOBE NEWSWIRE) — A ctic Wolf®, the cybe secu ity a d AI compa y, today a ou ced ew milesto es fo the Au o a® Age tic SOC a d Au o a Supe i tellige ce Platfo m that delive AI- ative secu ity outcomes without the cost a d complexity of buildi g age tic secu ity systems i -house. By add essi g the i dust y’s biggest ba ie s to adoptio fo age tic secu ity solutio s—t ust a d cost—these i ovatio s make AI-powe ed secu ity ope atio s p actical a d accessible fo o ga izatio s of all sizes. A ctic Wolf is also a ou ci g adva ceme ts to its pate t-pe di g Swa m of Expe ts™ a chitectu e a d the i t oductio of Mea Time to T usted Actio ™ (MTTA), a ew met ic that measu es how quickly o ga izatio s eceive guida ce they ca co fide tly act o .
Secu ity teams face a g owi g pa adox. O ga izatio s a e ma agi g mo e ale ts, mo e complex th eats, a d mo e ope atio al bu de tha eve . Yet despite a i dust y-wide focus o faste detectio , b eaches co ti ue to ise while teams st uggle with ale t fatigue, staffi g sho tages, a d escalati g costs. The challe ge is eflected i the fact that 70% of secu ity leade s believe a u detected th eat has al eady led to a successful attack withi thei o ga izatio , u de sco i g the eed fo g eate visibility, co text, a d co fide ce i secu ity ope atio s.
I the age of AI, faste detectio is ‘t e ough. O ga izatio s do ‘t eed thousa ds of u ma aged ale ts. They eed the co text to u de sta d what matte s a d how to act o it, buildi g lasti g esilie ce without the cost a d complexity of c eati g AI secu ity ope atio s themselves.
That is the ma ket gap A ctic Wolf is closi g. While much of the i dust y still competes o detectio speed alo e, A ctic Wolf is adva ci g the mode age tic SOC a ou d fou p i ciples that togethe defi e t usted secu ity outcomes: scale, value, t ust, a d speed. It ope ates at a scale that lea s f om mo e secu ity activity tha a y comme cial age tic SOC, esolves i vestigatio s i seco ds, validates eve y decisio th ough the AI T ust E gi e™ a d huma ove sight, a d delive s these outcomes at p edictable cost.
Si ce lau chi g at RSA Co fe e ce 2026, the Au o a Age tic SOC has co ti ued to expa d its ope atio al each. Today, the Au o a Supe i tellige ce Platfo m p ocesses mo e tha 10 t illio secu ity eve ts each week a d the Au o a Age tic SOC has esolved mo e tha th ee millio secu ity cases a d co ducts mo e tha 200,000 i vestigatio s weekly.
Eve y i vestigatio is powe ed by the Swa m of Expe ts™, A ctic Wolf’s pate t-pe di g a chitectu e that coo di ates specialized AI age ts to i vestigate, a alyze, validate, a d esolve secu ity activity. Ope ati g at this scale e ables A ctic Wolf to co ti uously imp ove how AI a d huma expe ts wo k togethe to delive t usted secu ity outcomes.
The esults show up i eal-wo ld espo se: the Au o a Age tic SOC esolves ma y i vestigatio s i as little as 12 seco ds while delive i g actio able emediatio guida ce that helps custome s espo d with co fide ce. Those efficie cies a e t a slati g i to measu able esults, with custome s esolvi g cases 26% faste yea ove yea a d spe di g less time i te p eti g ale ts a d mo e time taki g actio .
“Fo too lo g, secu ity teams have had to choose betwee scale o affo dability, speed o t ust. We built the Au o a Age tic SOC to elimi ate those t adeoffs,” said Da Schiappa, P eside t of Tech ology a d Se vices at A ctic Wolf. “B i gi g scale, value, t ust, a d speed togethe i a si gle platfo m is exactly what this mome t i cybe secu ity dema ds, a d it’s what lets ou custome s act with co fide ce o matte how fast the th eat la dscape evolves.”
Age tic secu ity is esse tial to defe di g agai st AI-powe ed th eats, but buildi g a d ope ati g these systems emai s out of each fo ma y o ga izatio s. A ctic Wolf is cha gi g that by maki g e te p ise-scale, AI- ative secu ity ope atio s u ive sally accessible to o ga izatio s of all sizes a d levels of matu ity, without the cost a d complexity of buildi g a age tic SOC i -house. As AI secu ity i c easi gly comes with mete ed, co sumptio -based p ici g, costs ca climb u p edictably just as o ga izatio s eed to scale thei defe ses most, maki g age tic secu ity difficult to budget a d eve ha de to scale.
Th ough the Au o a Age tic SOC a d Au o a Supe i tellige ce Platfo m, custome s gai p edictable p ici g, u limited data i gestio , a d u limited i vestigatio s, while A ctic Wolf ma ages the u de lyi g AI, i f ast uctu e, a d data o thei behalf. The platfo m deploys i app oximately 10 days a d is oughly 12 times mo e cost-effective tha buildi g a d mai tai i g a age tic SOC i te ally.
T ust emai s o e of the p ima y ba ie s to b oade adoptio of age tic secu ity. I the 2026 SANS AI Su vey, ea ly two-thi ds of secu ity p ofessio als epo ted eceivi g AI-ge e ated guida ce they late dete mi ed was i co ect, highlighti g the challe ges associated with fully auto omous secu ity ope atio s.
To add ess this challe ge, A ctic Wolf built the AI T ust E gi e™, a validatio f amewo k desig ed to gove age t behavio , validate decisio s, a d e su e app op iate huma ove sight.
Today, the Swa m of Expe ts auto omously esolves mo e tha 60% of case volume as high-co fide ce closu es. Fo mo e complex i vestigatio s, age ts ecog ize whe additio al expe tise is eeded a d escalate to huma a alysts athe tha acti g o u ce tai ty.
AI pe fo ms the vast majo ity of i vestigative wo k at machi e speed, while huma expe ts p ovide validatio fo the most co seque tial decisio s. Based o hu d eds of thousa ds of i vestigatio s, A ctic Wolf has fou d that app oximately o e-thi d of complex cases be efit f om fi al huma ve ificatio , demo st ati g why huma a d AI collabo atio emai s c itical to delive i g t usted secu ity outcomes at scale.
Togethe , this app oach e ables A ctic Wolf to educe ale t fatigue, delive i g a ave age of just o e secu ity ale t pe day to custome s while mai tai i g co fide ce i the espo se.
Because A ctic Wolf’s model is built a ou d t usted a d eliable outcomes, today we a e i t oduci g a way to measu e pe fo ma ce. The i dust y has lo g elied o speed-based met ics such as Mea Time to Detect (MTTD) a d Mea Time to Respo d (MTTR). While these emai impo ta t, they do ‘t a swe the questio that matte s most: how quickly a o ga izatio ca take the ight actio with co fide ce to avoid a secu ity i cide t. Speed of detectio alo e does ‘t help if teams still have to validate fi di gs, gathe co text, a d decide what to do.
That is why A ctic Wolf is i t oduci g Mea Time to T usted Actio ™ (MTTA), a ew met ic that measu es how quickly o ga izatio s eceive guida ce they ca t ust a d act o . Rathe tha simply flaggi g that somethi g happe ed faste , A ctic Wolf tells custome s what happe ed, what it mea s, a d exactly what to do ext—i a si gle ale t i stead of a flood of f agme ted otificatio s.
As o ga izatio s wo k to imp ove secu ity outcomes, they eed mo e co t ol ove how they access i sights, i vestigate th eats, a d measu e pe fo ma ce.
To suppo t that eed, A ctic Wolf is expa di g how custome s e gage with the platfo m th ough a phased ollout of A ctic Wolf Po tal e ha ceme ts, i cludi g:
- Simplified avigatio to help teams fi d key i fo matio faste .
- E ha ced visibility i to secu ity activity a d ope atio al pe fo ma ce.
- Imp oved a alytics a d data explo atio capabilities to suppo t mo e i fo med decisio -maki g.
A ctic Wolf is also co ti ui g to expa d its ope ecosystem with ew i teg atio s that p ovide custome s with b oade visibility, detectio , a d espo se. New i teg atio s i clude Mic osoft Defe de XDR (Eve t Hubs), Deli ea Platfo m a d Sec et Se ve , Check Poi t Email Secu ity, VMwa e ESXi/vSphe e a d vCe te , T e d Visio O e Email a d Collabo atio Secu ity, a d Cisco Catalyst Ce te . A ctic Wolf has also added ew espo se actio s fo Palo Alto P isma Access a d e ha ced suppo t fo Palo Alto Co tex E dpoi t.
Lea mo e about the Au o a Age tic SOC a d the Swa m of Expe ts i a blog post f om Da Schiappa.
A ctic Wolf is the cybe secu ity a d AI compa y that e ds cybe isk by t a sfo mi g it i to busi ess esilie ce. Powe ed by the Au o a® Supe i tellige ce Platfo m, A ctic Wolf delive s mode secu ity ope atio s built o p op ieta y AI a d decades of eal-wo ld expe tise. By combi i g AI‑d ive automatio with expe t‑validated p ecisio , A ctic Wolf helps o ga izatio s co fide tly ma age cybe isk—so o ga izatio s ca ope ate with co t ol a d the f eedom to i ovate.
To lea mo e about A ctic Wolf, visit www.a cticwolf.com.
© 2026 A ctic Wolf Netwo ks, I c., All Rights Rese ved. A ctic Wolf, Au o a, Alpha AI, A ctic Wolf Secu ity Ope atio s Cloud, A ctic Wolf Ma aged Detectio a d Respo se, A ctic Wolf Ma aged Risk, A ctic Wolf Ma aged Secu ity Awa e ess, A ctic Wolf I cide t Respo se, a d A ctic Wolf Co cie ge Secu ity Team a e eithe t adema ks o egiste ed t adema ks of A ctic Wolf Netwo ks, I c.
Ce tai stateme ts i this elease a e fo wa d-looki g a d eflect A ctic Wolf’s cu e t views, a alysis, a d expectatio s. These stateme ts a e ot gua a tees of futu e pe fo ma ce o outcomes. Actual esults, secu ity outcomes, ope atio al imp oveme ts, deployme t timeli es, a d cost savi gs may va y based o custome e vi o me t, co figu atio , use case, a d othe facto s.
