{"id":192,"date":"2021-11-17T07:47:06","date_gmt":"2021-11-17T07:47:06","guid":{"rendered":"https:\/\/infraon.io\/blog\/?p=192"},"modified":"2024-07-24T06:24:03","modified_gmt":"2024-07-24T06:24:03","slug":"future-proofed-yet-its-time-to-proactively-mitigate-it-risks-with-zero-trust","status":"publish","type":"post","link":"https:\/\/infraon.io\/blog\/future-proofed-yet-its-time-to-proactively-mitigate-it-risks-with-zero-trust\/","title":{"rendered":"Future-proofed yet? It\u2019s time to mitigate dangerous IT risks with Zero Trust"},"content":{"rendered":"\n

Zero Trust<\/a> combines identity verification and policy-based permission for every identity attempting to use the network or IT resources. The person or entity may be inside the enterprise\u2019s network or access the network remotely. Zero Trust is a framework using different technologies and best practices to know who is trying to access or use the data and if they have permission to do so.<\/p>\n\n\n\n

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Businesses that are on the way to being digitally transformed need to be future-ready. With the growth of advanced technology, cybersecurity is also on the rise. The advantage of the Zero Trust security model is that you don\u2019t have to start from scratch by removing the existing controls. In the zero trust model, continuous monitoring examines the interaction between users and data, including other systems. It enables risk-adaptive security control to customize enforcement based on the users\u2019 actions.<\/p>\n\n\n\n

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<\/span>The curious case of proactive cybersecurity<\/strong><\/span><\/h2>\n\n\n\n
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Proactively mitigating threats to IT security can be done by implementing zero trust architecture<\/a>. Unfortunately, there exist quite a few biases that work against cybersecurity strategies. The best approach is to address these biases at the outset so that cybersecurity is given its due importance and prioritized. Future-readiness of the business may depend on the right strategies.<\/p>\n\n\n\n

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Availability bias influences resource allocation and risk misinterpretation because there has been too much information on malware and data breaches. The reality may be that this information is irrelevant to their business and can lead to mistaken priorities.<\/p>\n\n\n\n

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Representative bias happens from grouping users together and assigning qualities that become generalizations across groups. Understanding individual behavior is the key to resolving this bias.<\/p>\n\n\n\n

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Minimizing biases while making decisions on cybersecurity requires a study at the individual and organizational levels, specifically within the security teams.<\/p>\n\n\n\n

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It is critical to understand the potential risks and acknowledge their existence. Our understanding of the cyber landscape, risk perception, and the relationship between the two is essential for making decisions regarding threat analysis, prioritizing their mitigation, and investment.<\/p>\n\n\n\n

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Image by jcomp<\/a> on Freepik<\/figcaption><\/figure>\n\n\n\n

<\/span>Moving To<\/strong> Zero Trust Network Security<\/a><\/span><\/h2>\n\n\n\n
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Adding different technologies to the current security system is part of the process of implementation. These technologies will provide a basis for:<\/p>\n\n\n\n

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