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Deep Instinct | Deep Learning AI Cybersecurity Platform
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<blockquote data-quote="Trident" data-source="post: 1041444" data-attributes="member: 99014"><p> <ul> <li data-xf-list-type="ul">It’s good because it’s light, quick, down-to-business prevention layer. It offers effective deep static analysis applied only locally (machine learning information is saved in ProgramData) and without accessing the cloud all the time (lack of connection does not have detrimental effect on its capacity).</li> <li data-xf-list-type="ul">Powerful fileless attacks (targeted attacks) prevention.</li> <li data-xf-list-type="ul">Provides accurate threat classification so admin would take appropriate measures.</li> <li data-xf-list-type="ul">Does not require add-ons and additional services.</li> <li data-xf-list-type="ul">Can be effectively combined with various Microsoft protections such as Smart Screen and Defender.</li> <li data-xf-list-type="ul">Prevents exploits (to an extent).</li> </ul><p>Cons:</p><ul> <li data-xf-list-type="ul">Does not oversee network events (it will have to be combined with Anti-Bot/IPS, specially on business environment).</li> <li data-xf-list-type="ul">Does not block malicious websites (this can easily be taken care of).</li> <li data-xf-list-type="ul">All cons related to static analysis in this case apply (<a href="https://www.paloaltonetworks.com/cyberpedia/why-you-need-static-analysis-dynamic-analysis-machine-learning" target="_blank">these have been widely discussed, I suggest looking here for more information</a>). For example packers can be identified with signatures very quickly and effectively, whilst static analysis extracts almost no attributes (just noise). Behavioural blocking (runtime analysis) will in most cases kick in but it may be too late. Static analysis works best when combined with dynamic analysis/emulation which in this case is missing.</li> <li data-xf-list-type="ul">Some competitors provide better forensic analysis</li> <li data-xf-list-type="ul">Misconfiguration can cause a lot of headaches. (Home users may be better off with Kaspersky, Avast, Norton).</li> </ul></blockquote><p></p>
[QUOTE="Trident, post: 1041444, member: 99014"] [LIST] [*]It’s good because it’s light, quick, down-to-business prevention layer. It offers effective deep static analysis applied only locally (machine learning information is saved in ProgramData) and without accessing the cloud all the time (lack of connection does not have detrimental effect on its capacity). [*]Powerful fileless attacks (targeted attacks) prevention. [*]Provides accurate threat classification so admin would take appropriate measures. [*]Does not require add-ons and additional services. [*]Can be effectively combined with various Microsoft protections such as Smart Screen and Defender. [*]Prevents exploits (to an extent). [/LIST] Cons: [LIST] [*]Does not oversee network events (it will have to be combined with Anti-Bot/IPS, specially on business environment). [*]Does not block malicious websites (this can easily be taken care of). [*]All cons related to static analysis in this case apply ([URL='https://www.paloaltonetworks.com/cyberpedia/why-you-need-static-analysis-dynamic-analysis-machine-learning']these have been widely discussed, I suggest looking here for more information[/URL]). For example packers can be identified with signatures very quickly and effectively, whilst static analysis extracts almost no attributes (just noise). Behavioural blocking (runtime analysis) will in most cases kick in but it may be too late. Static analysis works best when combined with dynamic analysis/emulation which in this case is missing. [*]Some competitors provide better forensic analysis [*]Misconfiguration can cause a lot of headaches. (Home users may be better off with Kaspersky, Avast, Norton). [/LIST] [/QUOTE]
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