FEATURE network for weak spots and possible entry points , organisations can take a proactive approach to secure the data that is so vital to their very existence .
Thus , AI and Machine Learning are essential for endpoint security . If you think about it , a machine works at machine speed , processing data is fast and the decision-making aspect of it is also fast .
To adequately defend the business while adopting innovative technologies such as cloud containers , IoT , and more , organisations need dynamic Artificial Intelligence-driven ( AI ) next-generation endpoint protection platforms that defend every endpoint against all types of attacks and at every stage in the threat life cycle .
Overall , Machine Learning And other additions are also making AI even more intelligent . But with more capabilities comes more code , and with more code comes more bugs . Coupled with the fact that AI is a relatively new technology , which makes it inherently less secure , it ’ s easy to see why cybercriminals are taking advantage of this problematic new tool . The question is how they will continue to do so , and on what scale .
AI shows no signs of slowing down ; it is effective and addictive , which is why we have adopted it with open arms . Clearly , there ’ s no going back now .
As defenders , our next step has to be building the tools , security models and processes to combat the wave of deep fakes and beyond , securing a bright future with AI by our side , not against us . u www . intelligentciso . com
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