FU­TUREOF SE­CU­RITY

CTO and CEO of Dam­balla Ex­plained How Ma­chine Learn­ing is the Key to Se­cu­rity in the Fu­ture, and What it Means to En­ter­prise Se­cu­rity

HWM (Malaysia) - - SMB -

Stephen New­man, Chief Tech­nol­ogy Of­fi­cer of Dam­balla, used the anal­ogy of sur­veil­lance cam­eras to ex­plain what the com­pany does. Ac­cord­ing to New­man, sur­veil­lance cam­eras just watches over the ac­tiv­i­ties, and that is mon­i­tor­ing. But it takes some­one to mon­i­tor the cam­eras, know the signs of threat, and iden­tify them to be ef­fec­tive. That is what Dam­balla is all about.

He de­scribed Dam­balla as an ad­vanced threat pro­tec­tion so­lu­tion for the en­ter­prise that pro­vides vis­i­bil­ity and in­sight into the ac­tiv­i­ties of a net­work to de­tect APT and ad­vanced mal­ware hid­den in a net­work.

“Dam­balla is a soft­ware so­lu­tion that mon­i­tors net­work traf­fic, while at the same time learns and iden­tify threats and sus­pi­cious ac­tiv­i­ties, stop­ping them be­fore the dam­age takes place,” He added that Dam­balla’s ca­pa­bil­i­ties to spot sus­pi­cious ac­tiv­i­ties are by mon­i­tor­ing it over time, which is within min­utes and sec­onds.

New­man said that Dam­balla’s ca­pa­bil­i­ties are very scal­able from in­ter­na­tional-sized banks, to na­tional ser­vice providers, down to en­ter­prises with 250 staff.

David Scholtz, Chief Ex­ec­u­tive Of­fi­cer of Dam­balla, at­trib­uted ma­chine learn­ing, the tech­nol­ogy that is used in Dam­balla, as the fu­ture of se­cu­rity. “While meth­ods such as sig­na­tures fall be­hind, se­cu­rity sys­tems that uses ar­ti­fi­cial in­tel­li­gence such as Dam­balla evolve along­side and ahead of the threat,” said Scholtz.

In a re­cent re­port, Gart­ner pre­dicted the rise of ma­chine learn­ing sys­tems in the work­place. It also pre­dicted that au­to­mated sys­tems will be able to gen­er­ate mean­ing­ful re­ports that could help with de­ci­sion mak­ing. This is in line with Dam­balla’s ap­proach and how its sys­tem works.

Scholtz also said that be­cause of Dam­balla’s ma­chine learn­ing ca­pa­bil­i­ties, it has the ca­pa­bil­ity to em­power en­ter­prises and small busi­ness to fo­cus on their re­sources.

New­man ex­plained that Dam­balla can be in­te­grated into ex­ist­ing sys­tems. This in­te­gra­tion, com­bined with au­to­ma­tion, is the key to stop­ping threats in its tracks.

134

HWM

|

MARCH 2016

When asked re­gard­ing se­cu­rity firm’s pre­dic­tions on the In­ter­net of Things be­ing the next big threat, Schultz com­mented that Dam­balla is al­ready ca­pa­ble of pro­tect­ing IoT net­works. The key is that Dam­balla mon­i­tors all net­work ac­tiv­i­ties for sus­pi­cious ac­tiv­i­ties and pro­files all devices, be they IoT or oth­er­wise.

“In a net­work, all IoT will inevitably ac­cess the In­ter­net one way or an­other through TCP/IP, once they do, they are be­ing se­cured with Dam­balla. Even other threats on the rise such as ran­somware can be thwarted by the sys­tem,” added New­man.

New­man ex­plained that mod­ern ran­somware “call home” and re­port on their sta­tus, the de­vice that they in­fected, and so on. This is when Dam­balla can de­tect them and ac­tions can be taken.

Stephen New­man, Chief Tech­nol­ogy Of­fi­cer, Dam­balla.

David Scholtz, Chief Ex­ec­u­tive Of­fi­cer, Dam­balla.

Newspapers in English

Newspapers from Malaysia

© PressReader. All rights reserved.