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人工智能技術(shù)成為未來(lái)網(wǎng)絡(luò)安全的引爆點(diǎn)和驅(qū)動(dòng)力
時(shí)間：2020-06-04 14:57:15
文章發(fā)布：李陽(yáng)
原創(chuàng)作者：未知
來(lái)源：互聯(lián)網(wǎng)

根據(jù)《市場(chǎng)與市場(chǎng)人工智能網(wǎng)絡(luò)安全預(yù)測(cè)報(bào)告》，預(yù)計(jì)到2026年，人工智能網(wǎng)絡(luò)安全市場(chǎng)規(guī)模將從2019年的88億美元增長(zhǎng)到382億美元，年復(fù)合增長(zhǎng)率為23.3%。市場(chǎng)增長(zhǎng)的主要?jiǎng)恿κ切碌墓裘婧凸粝蛄客^(guò)傳統(tǒng)安全防御系統(tǒng)的感知范圍、處理能力和響應(yīng)速度，如物聯(lián)網(wǎng)的普及和聯(lián)網(wǎng)設(shè)備的增多，網(wǎng)絡(luò)威脅實(shí)例的增多，以及對(duì)大數(shù)據(jù)隱私問(wèn)題的日益關(guān)注。

人工智能在網(wǎng)絡(luò)安全市場(chǎng)的潛在機(jī)遇包括中小企業(yè)對(duì)云安全解決方案的需求不斷增長(zhǎng)，以及越來(lái)越多地使用社交媒體來(lái)實(shí)現(xiàn)業(yè)務(wù)功能。

人工智能技術(shù)架構(gòu)分為基礎(chǔ)、技術(shù)、應(yīng)用3層?；A(chǔ)層包含計(jì)算能力和數(shù)據(jù)資源，是整個(gè)人工智能的核心;技術(shù)層包含算法、模型、知識(shí)庫(kù)、特征庫(kù)等;應(yīng)用層為人工智能結(jié)合網(wǎng)絡(luò)安全服務(wù)，不局限于某個(gè)具體應(yīng)用場(chǎng)景，重點(diǎn)解決運(yùn)維服務(wù)中人為因素等不足造成的問(wèn)題。人工智能架構(gòu)一個(gè)大型集團(tuán)包含很多下級(jí)單位，如何縱向延伸，以中心化運(yùn)維為思路，以公有或私有云加載計(jì)算單元，充分實(shí)現(xiàn)全域運(yùn)維。

人工智能在網(wǎng)絡(luò)安全防范中可以實(shí)現(xiàn)以下功能：

自動(dòng)檢測(cè)：人工智能(機(jī)器學(xué)習(xí))可以幫助公司快速識(shí)別威脅并找到潛在風(fēng)險(xiǎn)之間的聯(lián)系，從而消除流程中的人為錯(cuò)誤。人工智能(機(jī)器學(xué)習(xí))可以適應(yīng)和學(xué)習(xí)經(jīng)驗(yàn)和模式，而不是因果關(guān)系。今天，機(jī)器學(xué)習(xí)使機(jī)器自學(xué)成為可能。這意味著他們可以創(chuàng)建用于模式識(shí)別的模型，而不必等待人類(lèi)開(kāi)發(fā)它們。在開(kāi)始采取適當(dāng)?shù)难a(bǔ)救措施之前，訓(xùn)練過(guò)的AI可以利用推理來(lái)確定各種風(fēng)險(xiǎn)，例如可疑地址，奇怪文件等。

異常檢測(cè)：人工智能大大提高了識(shí)別網(wǎng)站可疑問(wèn)題所需的時(shí)間。例如，在2016年，Google每周將大約20,000個(gè)包含惡意軟件的網(wǎng)站列入黑名單，并將50,000個(gè)針對(duì)網(wǎng)絡(luò)釣魚(yú)欺詐的網(wǎng)站列入黑名單。同樣，開(kāi)發(fā)人員也在利用人工智能來(lái)識(shí)別那些在網(wǎng)站上有不良意圖的人。這一過(guò)程被稱(chēng)為異常檢測(cè)，有多種用途，其中網(wǎng)絡(luò)安全位居榜首。根據(jù)人工智能技術(shù)，程序可以在短短幾秒鐘內(nèi)分析大量訪客，并根據(jù)他們的威脅級(jí)別和行為對(duì)其進(jìn)行分類(lèi)。

更好的監(jiān)視，搜索和分析：人工智能使公司和組織在其安全環(huán)境中擁有更大的可見(jiàn)性，并使它們能夠提前應(yīng)對(duì)威脅。由AI驅(qū)動(dòng)的狩獵技術(shù)可以確定組織是否受到攻擊，以便組織可以做好準(zhǔn)備。

安全認(rèn)證：如果你的網(wǎng)站需要訪客登錄，需要輸入表單，或者需要在網(wǎng)站后端提供另一層安全保障，人工智能可以更好地以最大的安全性進(jìn)行認(rèn)證。確保安全身份驗(yàn)證的一種方法是通過(guò)物理身份驗(yàn)證，其中人工智能使用不同的特征來(lái)識(shí)別一個(gè)人。例如，智能手機(jī)可以使用指紋掃描儀和面部識(shí)別來(lái)讓你登錄。這背后的過(guò)程需要程序分析關(guān)于你的臉和手指的主要數(shù)據(jù)點(diǎn)，以辨別登錄是否真實(shí)。除此之外，人工智能還可以研究其他因素，以確定某個(gè)特定用戶(hù)是否被授權(quán)登錄某個(gè)技術(shù)設(shè)備。這項(xiàng)技術(shù)會(huì)檢查你輸入按鍵的方式、打字速度和拼寫(xiě)時(shí)的錯(cuò)誤率。

更快的響應(yīng)時(shí)間：人工智能可以處理大量非結(jié)構(gòu)化信息，從而以更高的效率提供見(jiàn)解。更重要的是，機(jī)器學(xué)習(xí)、人工智能可以更快地學(xué)習(xí)模式，從而加快響應(yīng)時(shí)間，使其更快、更容易地在威脅造成問(wèn)題之前阻止它們。一些領(lǐng)先的公司(例如IBM)正在網(wǎng)絡(luò)安全中使用認(rèn)知技術(shù)和AI，以使它們能夠快速識(shí)別威脅并做出相應(yīng)的響應(yīng)。

無(wú)差錯(cuò)的網(wǎng)絡(luò)安全：與人類(lèi)不同，人工智能在執(zhí)行重復(fù)的任務(wù)時(shí)不會(huì)感到疲倦或無(wú)聊。因此，人為錯(cuò)誤的風(fēng)險(xiǎn)大大降低。但是，人類(lèi)需要與人工智能合作才能獲得更好的結(jié)果。毫無(wú)疑問(wèn)，人類(lèi)提供了機(jī)器缺乏的常識(shí)和理性。但是，在非標(biāo)準(zhǔn)情況下，由AI設(shè)計(jì)的應(yīng)用程序是更好的決策者。

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