How to make improvement in implementing DevOps
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Security operation centre is currently developing rapidly, while COVID-19 pandemic has even accelerated the development process due to the abrupt increase in demand. We can also foresee the tendency of security operation centre in the near future, a rough outline has come into view which ‘work from home’ will not fade away after the pandemic, and this will be the new habitus. Security operations had been affected by the economy and business model due to the pandemic, but this is only a short-term deviation, securityoperation management should also implement some revision in order to in step with long-term development.
The quantity of company’s network and VPN visiting should be reduced, it can effectively reduce the network’s risk in being attacked even though it goes against the grain. Companies should develop an alternate work pattern which reduce the excessive site traffic thereby reduce the risk in being challenged in cybersecurity. Employees should no longer being required to work on company’s site server for just a few tasks, but on a separate internet-based portal instead. This approach may significantly reduce the traffic in network while at the same time verified employees’ identity which secure network’s safety without being invaded. Cybersecurity team can even collect data from internet and analyse network visiting patterns, security implementation can be distanced from company’snetwork which reduce the risk of direct cyberattack.
Security experts are competent on numerous sophisticated cyber safety measures and capable of bringing about and make security programme perfect. However, given that security experts are up to deal with complicated cybersecurity matters, machines should be welcomed in reducing their heavy burden and reserve more time for meeting new challenges, established and long-windedtasks should be dedicated to machines, machine learning takes up the role in sharing security experts’ workload and being a stepping stone in further development of cybersecurity. Machine learning is able to understand, interpretate and distinguish any abnormality among received data, automatically reporting unusual events or practises are also machine learning’s scope of work. Security team receives valuable data and precise opinion through machine learning without any operation, automated working processes can be delegated to machine learning in dealing with daily routine work and enhance efficiency and reduce workload for security experts.