“AI-d ive adve sa ies bypass static ules i eve y legacy SIEM, a d o ule catches a attack it has eve see ,” said Eli Roze , co-fou de a d CTO, Vega. “Detectio Skills a swe with scaled AI easo i g that b i gs the judgme t of you best Cybe Defe se E gi ee s to eve y ale t, i eal-time. We made the sta da d ope to e su e the whole i dust y ises with it: as attacks scale, defe se compou ds.”
F o tie AI has collapsed the eco omics of cybe attacks. I t usio s that took skilled teams weeks ow take mi utes, with adva ced models b eaki g co tai me t a d auto omously b eachi g o ga izatio s. Defe ses built o legacy SIEM have ot kept pace: they ca o ly ecog ize k ow patte s i a th eat la dscape whe e attacks a e ge e ated, ot epeated.
Just as Sigma defi ed the t aditio al detectio ule fo mat, Detectio Skills is what comes ext fo AI-fi st Cybe Defe se teams. The e gi ee who builds a detectio a d the a alyst who a swe s it at 2 a.m. ofte eve meet, a d the co text dies i the ha doff.
Detectio Skills solves that: built o the Age t Skills f amewo k o igi ally developed by A th opic, it attaches t iage, i vestigatio , a d optimizatio di ectly to the detectio , so the easo i g t avels with it, e abli g secu ity teams to:
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Detect a d decide at AI speed. T iage a d i vestigatio s u automatically the mome t a detectio fi es, slashi g MTTD a d MTTR. O ly what matte s eaches a huma , with a fi ished, evide ce-backed wo kbook attached. -
Scale cybe defe se expe tise . Autho a skill o ce a d the same judgme t eaches eve y ale t, k ow o u k ow . E gi ee s keep complete t a spa e cy a d co t ol ove the AI’s easo i g: what it checked, why it decided, a d o cha ge without thei sig -off. -
Adopt without dis uptio . Wo ks alo gside existi g secu ity i vestme ts. It lau ches with the Age tic Detectio Lib a y: 50+ skills f om Vega Resea ch a d ou pa t e s, plus a sa dbox to build, test, a d expo t spec-complia t detectio s, a d GitHub to co t ibute you ow .
Vega p oved Detectio Skills i p oductio o its Cybe Defe se Platfo m, the sta da d’s efe e ce impleme tatio . Built o the Secu ity A alytics Mesh (SAM), the platfo m u s the full loop di ectly o a o ga izatio ‘s data whe eve it lives, ac oss cloud object sto age, Legacy SIEMs, a d data lakes, with o data mig atio o i gestio tax.
Eve ythi g is live today at detectio skills.io a d withi the Vega platfo m. The full f amewo k debuts this week at Black Hat USA 2026 at booth 3452.
“We adopted Detectio Skills ea ly a d sta ted by e codi g ou ow t iage logic, the way ou team actually wo ks a ale t, ot a ge e ic playbook. Eve y skill we ship gives us mo e explicit co t ol ove what the AI checks, escalates, a d dismisses. The esult is a queue we t ust: fewe false positives, a d eve y ve dict a ives with its easo i g attached.”
“Retail u s o peak mome ts, a d attacke s k ow exactly whe those a e. My team ca ot be the co st ai t o a Satu day i Decembe . Detectio Skills gives us leve age we ca pla a ou d: the expe tise is w itte dow , it u s o eve y ale t, a d it holds up whe volume spikes. We a e adopti g it a d sha i g what we lea , because o secu ity team should have to ebuild this wo k alo e.”
“Defe de s have eve faced a mome t like this: attacke s a e compou di g thei capability, a d fo the fi st time we ca compou d ou s. A ope sta da d fo how detectio decisio s get made – auditable, t a spa e t, sha ed – is how t ust gets built at i dust y scale. Adopti g Detectio Skills a d helpi g shape it is what good digital citize ship looks like i the AI e a.”
Vega is the pio ee of Age tic Cybe Defe se. Built o the Secu ity A alytics Mesh, the Vega platfo m, u s detectio , t iage, i vestigatio , a d tu i g di ectly o data whe e it lives, at the speed the AI e a dema ds: o data mig atio , o ce t alized data i gestio . Fou ded i 2024 a d backed by Accel, Cybe sta ts, Redpoi t, a d CRV with $185 millio aised, Vega p otects Fo tu e 200 e te p ises, global ba ks, a d leadi g healthca e p ovide s.
Vega: Attacks scale. Defe se compou ds.
Lea mo e at vega.io.
