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How Machine Learning, AI & Deep Learning Improve CybersecurityMachine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers:
-How to assess the vendor's AI/ML claims
-Defining success criteria for AI/ML implementations
-Challenges when implementing AI
Incident Readiness and Building Response Playbook
In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
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User Rank: Ninja
4/12/2018 | 12:49:31 PM
This is the most important aspect of the whole document because organizations have not taken the time to fully understand the implications and redesign concepts of the cloud (basically they have not changed their thinking). In this new ecosystem, the cloud is not the all to end all, if you have problems on-premise then the same problems are going to resurface in the cloud due to the bad practices and engineering designs companies have employed at their primary locations.
We need to have an external party, someone who is familiar with cloud design/architecture, implementation, integration and data migration principles. First they would need to perform an assessment, identify any gaps or dependencies associated with the security application, determine (feasibility analysis) if the solution meets their needs, identify costs and then develop a plan to move into that area with a team who is knowledgeable of the intricacies of that CSP (Cloud Service Provider).
If the organizations followed this guidance, then most of the respondents would have a more favorable view of the cloud because it was treated as a project, as history has it, most organizations do not do this, they present the idea to one of their engineers, the engineer has never worked with the provider before, they have to research and figure out how the technology works in the cloud and the cloud application itself, then determine if the application they are used to is provided in the marketplace of that CSP. With all of this, the engineer becomes frustrated and the project is stalled because of the lack of understanding during the inception of the project.
The take away from all of this is as follows:
If we follow these steps, I do think the move from on-prem solutions to hybrid off-prem solutions would allow for great understanding and awareness during our journey to Enterprise Global Systems design.
Todd - ITOTS Networks, LLC