The i teg atio combi es Te zai’s auto omous offe sive testi g with Palo Alto Netwo ks Co tex Exposu e Ma ageme t to help secu ity teams co fi m which exposu es a e ge ui ely exploitable a d act o p ove isk.
The e te p ise attack su face is g owi g faste tha eve , a d exposu e ow accumulates mo e quickly tha secu ity teams ca validate a d act o it. O ly a po tio of those exposu es a e actually exploitable, a d dete mi i g which o es equi e deep, ha ds-o testi g still depe ds o sca ce huma expe tise – so p io itizatio lags behi d the pace of cha ge, a d teams eithe emediate eve y fi di g ega dless of eal isk o leave pote tially c itical exposu es u ve ified. Adve sa ies i c easi gly use adva ced AI models to p obe exposed systems a d chai vul e abilities at machi e speed, while defe de s elyi g o ma ual validatio ca ot keep up. As a esult, effo t goes to exposu es that pose little eal isk, while the o es most likely to be exploited wait i the backlog.
This i teg atio closes that gap.
As Co tex Exposu e Ma ageme t co ti uously discove s a d p io itizes exposu es ac oss the exte al attack su face, Te zai’s auto omous offe sive age ts automatically attempt eal-wo ld exploitatio of ewly su faced isks the way a attacke would – tu i g pote tial isk i to ve ified attack paths i mi utes, athe tha days. Te zai w ites each esult di ectly back i to the co espo di g Co tex issue: whethe the exposu e was exploited, detailed assessme t a d impact otes, step-by-step ep oductio , a d p ecise emediatio guida ce that goes beyo d ge e ic defaults.
Fo secu ity teams, the payoff is co c ete, as they:
- Validate exploitability atively withi the Co tex wo kflow, automatically o o dema d;
- Act o p ove isk i stead of ma ually t iagi g which fi di gs matte ;
- Ca t oubleshoot eve y co fi med exposu e as it a ives with the exploitatio evide ce, attack-path co text, a d emediatio guida ce eeded to fix what matte s most – befo e adve sa ies each it.
“Whateve pace the i dust y la ds o fo AI, attacke s a e al eady movi g at it,” said A e Mazu , Te zai cofou de a d Chief P oduct Office . “Embeddi g ou age ts di ectly i to Palo Alto Netwo ks Co tex Exposu e Ma ageme t mea s eve y exposu e gets validated the i sta t it’s fou d – co fi med with evide ce o dismissed – so secu ity teams spe d thei time fixi g eal isk i stead of guessi g which fi di gs matte .”
To lea mo e about this i teg atio , visit Palo Alto Netwo ks Tech ology Pa t e Di ecto y.
The Palo Alto Netwo ks Tech ology Pa t e P og am delive s a comp ehe sive po tfolio of i teg ated solutio s that help busi esses close secu ity gaps a d elevate e d-use expe ie ce.
About Te zai
Te zai is a AI- ative cybe secu ity compa y buildi g auto omous AI hacke s to help e te p ises delive mo e secu e softwa e. Its platfo m actively hacks, exploits, a d helps fix vul e abilities ac oss e te p ise softwa e – co ti uously a d at scale. Fou ded i 2025 by cybe secu ity vete a s Pavel Gu vich, A iel Zeitli , Of i Ziv, Itama Tal, a d A e Mazu , Te zai has aised $75 millio i seed fu di g f om leadi g i vesto s i cludi g Batte y Ve tu es, G eylock Pa t e s, Lux Capital, a d Swish Ve tu es. Read mo e: www.te zai.com.
