{"id":3460,"date":"2018-07-27T10:31:34","date_gmt":"2018-07-27T07:31:34","guid":{"rendered":"https:\/\/www.one-it.ro\/blog\/?p=3460"},"modified":"2019-10-19T22:55:17","modified_gmt":"2019-10-19T19:55:17","slug":"5-tehnologii-inovatoare-pentru-combaterea-amenintarilor-interne-din-companii-2018","status":"publish","type":"post","link":"https:\/\/www.one-it.ro\/blog\/5-tehnologii-inovatoare-pentru-combaterea-amenintarilor-interne-din-companii-2018\/","title":{"rendered":"5 tehnologii inovatoare pentru combaterea amenin\u021b\u0103rilor interne din companii \u00een 2018"},"content":{"rendered":"\n\n
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\"interne\"<\/p>\n

Amenin\u021b\u0103rile interne sunt tot mai frecvente \u00een cadrul companiilor. C\u00e2nd vine vorba de amenin\u021b\u0103ri de securitate, companiile ar trebui s\u0103 priveasc\u0103 \u0219i \u00een interiorul organiza\u021biei, spre oamenii care au acces la informa\u021bii sensibile. Angaja\u021bii pot fi neglijen\u021bi cu informa\u021biile pe care le de\u021bin sau pot s\u0103 fie r\u0103u inten\u021biona\u021bi. Mai mult, metodele tradi\u021bionale de reducere a riscurilor cibernetice, precum firewall-urile sunt \u00eenvechite \u0219i uneori ineficiente. Asta pentru c\u0103 anumi\u021bi angaja\u021bi au deja acces privilegiat la informa\u021bii \u0219i cunosc punctele slabe ale companiei. Vestea bun\u0103 este c\u0103 tehnologia avanseaz\u0103 \u0219i exist\u0103 o serie de tehnologii care sporesc securitatea informa\u021biilor.<\/p>\n

Iat\u0103 5 tipuri de tehnologii care merit\u0103 \u0219tiute \u0219i care diminueaz\u0103 riscurile unor atacuri din interior asupra securit\u0103\u021bii companiei.<\/p>\n

 <\/p>\n

    \n
  1. Prevenirea pierderilor de date (Data Loss Prevention – DLP)<\/strong><\/li>\n<\/ol>\n

    Aceasta este o solu\u021bie care asigur\u0103 securitatea \u0219i controlul asupra datelor confiden\u021biale din companie.<\/p>\n

    DLP ac\u021bioneaz\u0103 prin clasificarea datelor sensibile \u0219i stabile\u0219te proceduri de \u00eenc\u0103lcare pentru a identifica \u0219i diminua \u00een cel mai scurt timp o amenin\u021bare. Aceast\u0103 tehnologie este conceput\u0103 pentru generarea de alerte personalizate, monitorizare, criptare \u0219i alte metode utile de prevenire. Este folosit\u0103 \u00een ultima perioad\u0103 \u00een leg\u0103tur\u0103 cu prevenirea amenin\u021b\u0103rilor din interiorul sistemului. Pe m\u0103sur\u0103 ce aceast\u0103 tehnologie avanseaz\u0103, poate \u021binti mai precis datele sensibile \u0219i poate supraveghea \u00een mod activ \u00eenc\u0103lc\u0103rile.<\/p>\n

     <\/p>\n

      \n
    1. Machine Learning (ML)<\/strong><\/li>\n<\/ol>\n

      Tehnologia Machine Learning este un software cu inteligen\u021b\u0103 artificial\u0103, care detecteaz\u0103 tipare (patterns) folosing anumi\u021bi algoritmi identificabili, pentru a c\u0103uta anomalii \u00een sistemele de date. Are abilitatea de a \u00eenv\u0103\u021ba pe cont propriu \u0219i astfel, poate recunoa\u0219te diverse trenduri legate de modul \u00een care sunt accesate date stocate \u00een cloud, poate s\u0103 identifice anomalii \u0219i s\u0103 le raporteze, iar \u00een viitor s\u0103 anticipeze posibile scurgeri de date, analiz\u00e2nd comportamentul utilizatorilor.<\/p>\n

       <\/p>\n

        \n
      1. User Behavior Analytics (UBA)<\/strong><\/li>\n<\/ol>\n

        Aceast\u0103 tehnologie este un proces de securitate cibernetic\u0103, care analizeaz\u0103 \u0219i creeaz\u0103 tipare de comportament ale utilizatorilor \u0219i ale ma\u0219inilor. Datele colectate sunt utilizate pentru a crea o linie de baz\u0103 a comportamentului normal al acestora. Func\u021bionarea acestei tehnologii la nivel de companie poate oferi unei organiza\u021bii capacitatea de a detecta poten\u021biale amenin\u021b\u0103ri la adresa securit\u0103\u021bii cibernetice, cum ar fi exfiltrarea datelor, amenin\u021b\u0103rile interne \u0219i punctele finale compromise. Chiar dac\u0103 sistemele UBA nu iau m\u0103suri \u00een urma analizelor \u0219i rezultatelor sale, acestea pot fi configurate pentru a ajusta \u00een mod automat gradul de dificultate al autentific\u0103rii utilizatorilor care prezint\u0103 un comportament anormal \u0219i sunt poten\u021biale amenin\u021b\u0103ri la adresa securit\u0103\u021bii companiei.<\/p>\n

        \u00a0<\/strong><\/p>\n

          \n
        1. User Activity Monitoring (UAM)<\/strong><\/li>\n<\/ol>\n

          Aceast\u0103 tehnologie presupune monitorizarea \u0219i \u00eenregistrarea ac\u021biunilor utilizatorilor. Construit pe baza tehnologiilor UBA \u0219i DLP, amenin\u021b\u0103rile interne pot fi diminuate mai u\u0219or prin monitorizarea activit\u0103\u021bii utilizatorilor. Acest tip de software se concentreaz\u0103 pe comportamentul utilizatorilor \u0219i pe metadate, care permit monitorizarea \u0219i identificarea precis\u0103 a ac\u021biunilor unui angajat. Multe incidente legate de amenin\u021b\u0103rile interne se datoreaz\u0103 neglijen\u021bei, mai concret, din pricina deschiderii e-mailurilor de phishing. Monitorizarea activit\u0103\u021bii utilizatorilor poate fi utilizat\u0103 ca o tehnologie de instruire, pentru a alerta angajatul atunci c\u00e2nd o ac\u021biune este inadecvat\u0103 sau pentru a-l preg\u0103ti pentru reducerea amenin\u021b\u0103rilor la adresa securit\u0103\u021bii companiei \u00een viitor.<\/p>\n

           <\/p>\n

            \n
          1. Privileged Access Management (PAM)<\/strong><\/li>\n<\/ol>\n

            Acesta este un software care ajut\u0103 la prevenirea abuziv\u0103 a accesului de c\u0103tre utilizatorii privilegia\u021bi. Ace\u0219tia au acces direct la manipularea \u0219i prelucrarea datelor unei companii. Cu ajutorul controlului unui admin, o amenin\u021bare intern\u0103 poate divulga \u0219i manipula datele companiei \u00een mod inten\u021bionat. Monitorizarea \u0219i autorizarea utilizatorilor privilegia\u021bi \u00een toate sistemele importante din cadrul companiei, face ca aceast\u0103 tehnologie s\u0103 fie una dintre cele mai importante m\u0103suri de diminuare a amenin\u021b\u0103rilor unei companii.<\/p>\n

            Aceste tehnologii vizeaz\u0103 amenin\u021b\u0103rile interne din cadrul unei organiza\u021bii, iar dac\u0103 sunt implementate vor reduce considerabil riscul apari\u021biei unor atacuri provenite din neglijen\u021ba sau inten\u021biile ascunse ale unor membri din companie. E bine de \u0219tiut faptul c\u0103 de\u0219i atacurile cibernetice se perfec\u021bioneaz\u0103, la fel o fac \u0219i tehnologiile de combatere ale acestora.<\/p>\n

             <\/p>\n

            Sursele informa\u021biilor din acest articol: https:\/\/www.business2community.com\/cybersecurity\/5-breakthrough-technologies-to-combat-insider-threats-in-2018-02084816<\/a><\/p>\n

            https:\/\/blog.webland.ro\/2017\/04\/care-este-diferenta-dintre-inteligenta-artificiala-machine-learning-si-deep-learning\/<\/a><\/p>\n

            https:\/\/searchsecurity.techtarget.com\/definition\/user-behavior-analytics-UBA<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

            Amenin\u021b\u0103rile interne sunt tot mai frecvente \u00een cadrul companiilor. C\u00e2nd vine vorba de amenin\u021b\u0103ri de securitate, companiile ar trebui s\u0103 priveasc\u0103 \u0219i \u00een interiorul organiza\u021biei, spre oamenii care au acces la informa\u021bii sensibile. Angaja\u021bii pot fi neglijen\u021bi cu informa\u021biile pe care le de\u021bin sau pot s\u0103 fie r\u0103u inten\u021biona\u021bi. Mai mult, metodele tradi\u021bionale de reducere […]<\/p>\n","protected":false},"author":4,"featured_media":3462,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[5,202],"tags":[],"yoast_head":"\n5 tehnologii inovatoare pentru combaterea amenin\u021b\u0103rilor interne din companii \u00een 2018<\/title>\n<meta name=\"description\" content=\"Amenin\u021b\u0103rile interne sunt tot mai frecvente \u00een cadrul companiilor. 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