Spotting trends in inputs, hiring the right person, and harvesting the data one possesses are the milestones an organization would like to focus upon for maximizing the value of their cybersecurity investment.
Talented workers that would help maximize the value by capitalizing cybersecurity efforts are the second in command for the important initiative after one invests in deploying a cybersecurity technology.
Organizations bring into use a number of technologies to mine the unknown credentials that help them to set up a fruitful strategy.
Many ways like the following can be leveraged by organizations to unearth golden points from the technologies in which businesses invest.
1. Right talent
Technology value can be increased by hiring a suitable candidate to deal with it. It not only compliments the growth of the company but also supplements the output that one is slated to obtain from the investment in the technology. An organization can eschew user errors by learning as much as they can about the capability and limitation of the technology.
2. Hire professional service handlers
In case a suitable hand is not available to deal with the technology, or if skills fall short in dealing with the technology, then the solution can be found externally. Contracting a managed IT services team with the necessary knowledge of the technology will provide returns on investments. The returns can be in the form of adept handling of the technology with insightful metrics and reporting.
3. Log combing
Malicious activities can be unearthed by effective threat hunting. Right data analytics tools and software can help organizations to deal with large data sets which in turn yields information on possible threat activity. The data sets can be juggled between data management software like SIEM which also provide easy interpretation techniques. A proactive approach rather than a wait and watch attitude comes a long way for threat hunters in dealing with malicious activities.
4. Data Trends
One may find the need for incorporating the best data handling techniques to detect anomalous behavior when static signatures and rules are restrained to the old approach. Organizations consider machine learning and behavioral analytics tools to find and flag suspicious data trends or unearth leveraging data sets.
Organizations should look out for the limitations up front in a machine learning technology before purchasing it. It is essential that the purchase is centered on the needs that deem fit for an organization. The analytical software can be bought by keeping in mind the points like the type of data sources used and the limitation of restrained informatics that comes with the set of data.
Ava Williams is a McAfee product expert and has been working in the technology industry since 2002. As a technical expert, she has written technical blogs, manuals, white papers, and reviews for many websites such as mcafee.com/activate.