Co ti uous validatio gives secu ity leade s evide ce that thei Akamai p otectio holds as AI-d ive attacks cha ge a d as ew se vices, APIs, a d egio s come o li e – so the o li e se vices that ca y eve ue stay p otected by p ove DDoS esilie ce, athe tha assumptio .
Akamai’s ow esea ch shows how AI is cha gi g applicatio -laye attacks. Its 2026 Apps, APIs, a d DDoS State of the I te et epo t fou d that Laye 7 DDoS attacks ose 104% betwee 2023 a d 2025, a i c ease Akamai att ibutes to DDoS-fo -hi e bot ets a d AI-e abled attack tools that make APIs a d web applicatio s easie to ta get. The same epo t ide tifies APIs as the fou datio of e te p ise AI t a sfo matio , so each ew AI-d ive se vice adds e dpoi ts whose DDoS p otectio must be co figu ed co ectly. Native RADAR deployme t fo Akamai d amatically educes deployme t complexity, eve ac oss multiple Akamai-p otected sites, a d sho te s time to value fo secu ity leade s who wa t to establish the ce tai ty of thei DDoS esilie ce.
E te p ises choose Akamai fo st o g DDoS p otectio , but whethe it is co figu ed co ectly fo eve y se vice is a ely tested i depe de tly. As the busi ess adds ew digital se vices, APIs, a d egio s, a lack of alig me t ope s betwee deployed DDoS p otectio a d the se vices they a e desig ed to p otect. Each cha ge ca c eate a co figu atio gap that stays u see u til a attack eaches a logi page, a payme t flow, o a custome po tal.
“Ou goal is DDoS esilie ce ce tai ty. Eve y ew se vice a d API, fo cu e t a d ew AI i itiatives, is a othe se vice whose DDoS p otectio has to be co figu ed co ectly, a d testi g eve a few times a yea ca ot keep pace with that. We built the ative RADAR deployme t fo Akamai custome s so secu ity leade s ca validate thei DDoS p otectio ac oss wide deployme ts with o f ictio f om e gi ee i g teams, a d get the o goi g evide ce they eed to p ove thei esilie ce holds,” said Matthew A d ia i, CEO a d fou de of MazeBolt.
“E te p ises that u Akamai have st o g DDoS p otectio deployed, but deployed p otectio is ot p ove p otectio . The questio eve y CISO we wo k with faces is whethe that p otectio is co figu ed co ectly fo eve y se vice, a d whethe it will stop a attack whe o e a ives. RADAR a swe s that questio co ti uously, so ou custome s k ow which attacks thei Akamai deployme t blocks, which would each thei se vices because of co figu atio gaps – a d ca p ove the gaps they have closed,” said Eyal Rahimi, VP of E gi ee i g at MazeBolt.
Whe RADAR fi st validates a e te p ise p oductio e vi o me t, ~37% of attack vecto s bypass deployed DDoS p otectio s, acco di g to MazeBolt RADAR validatio data ac oss i itial deployme ts. Boa ds, egulato s, a d i su e s i c easi gly ask secu ity leade s fo evide ce of DDoS esilie ce athe tha elyi g o the assumptio that deployed p otectio s a e effective. RADAR p oduces validatio epo ts with ve do -specific emediatio guida ce a d evalidates afte eve y fix, so secu ity teams k ow which exposu es they have closed a d ca p ove it.
Native Laye 7 suppo t fo Akamai e vi o me ts is available today to all RADAR custome s. RADAR’s sta da d deployme t cove s OSI laye s 3, 4, a d 7 ac oss sc ubbi g ce te s, o -p emises defe se equipme t, WAF, a d cloud se vices, f om DDoS mitigatio ve do s i cludi g Akamai, AWS, Cloudfla e, F5, Mic osoft Azu e, NETSCOUT, a d Radwa e.
“While adva ced, sophisticated attacks ofte g ab the headli es – misco figu atio s, out-of-date ules, a d i adequate p otectio s co ti ue to be the sou ce of ma y i cide ts,” said Joh G ady, Chief A alyst at Omdia. “DDoS is o diffe e t. It is a c itical a ea whe e secu ity teams must e su e p otectio is cu e t, because successful attacks impact availability a d di ectly affect the bottom li e. RADAR’s ew ative Akamai deployme t ot o ly helps secu ity teams make the most of thei DDoS mitigatio i vestme ts but also allows busi ess leade s to have co fide ce i thei ove all esilie cy.”
Fo fi a cial se vices, Akamai’s May 2026 State of the I te et epo t fou d that the media du atio of global Laye 3 a d 4 DDoS attacks o the secto has ise 738% si ce 2024, a t e d Akamai att ibutes to attack i f ast uctu e powe ed by AI. Yet MazeBolt esea ch shows that 86% of BFSI o ga izatio s su veyed test thei DDoS defe ses o ce a yea o less (MazeBolt State of DDoS Defe ses Su vey, 300 BFSI CISOs a d secu ity leade s, 2025).
MazeBolt does ot eplace DDoS mitigatio . It tu s p otectio i to p ove esilie ce – ce tai ty you ca act o .
MazeBolt e su es busi ess co ti uity by p ovi g that deployed DDoS p otectio s a e esilie t agai st today’s k ow a d AI-d ive , apidly evolvi g attacks. RADAR™ by MazeBolt co ti uously validates DDoS defe ses without affecti g se vice availability, u i g thousa ds of simulatio s ac oss the e ti e attack su face to u cove c itical vul e abilities befo e attacke s exploit them. Powe ed by AI, RADAR a ticipates which attack vecto s a e most likely to succeed, p io itizes what to fix fi st, a d co ti uously e-validates defe ses as e vi o me ts cha ge a d th eats adapt. The esult is measu able eductio i DDoS isk, st o ge egulato y alig me t, a d co ti uous, i depe de t evide ce that deployed p otectio p eve ts the ope atio al, eputatio al, a d fi a cial damage f om DDoS dow time.
Akamai is a egiste ed t adema k of Akamai Tech ologies, I c.
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