Some Strategies Adopted By Data-Secure Enterprises

    Organizations face a daunting security challenge with digital assets dispersed around IT environments and data breaches still a daily concern: how can you harmonize the security model to avoid using different best practices and resources for the conventional three-tier data center than you have for the cloud?

    A recent study revealed that the second data security challenge was to secure data moving between on-site and the cloud, preceded only by guarding against malicious damage/hacking.

    Organizations today need a more programmatic approach that explores and integrates all data sources and networks into a comprehensive security strategy.

    Emphasis on User Behavior

    A more user-centric strategy is needed. In other words, depending on where they fall on a scale of risk, the security policies should be applied to each user individually. Such risk assessments and the policy implementation based on them can change dynamically based on a person’s actions.

    The results of the study support this notion. The least likely to have been abused were companies deploying behavioral analytics, machine learning, and cloud-based access controls.

    The Strategies

    To secure a conventional infrastructure with a specified perimeter, traditional security approaches have been developed. Given that the perimeter is all but gone, organizations that recognize data movements between data centers and the cloud and implement policies that account for evolving risk factors, such as the system and network in use, and the identity and job position of the user are more likely to prevent breaches.

    1. Leverage Data Loss Prevention (DLP) systems with data analytics, machine learning, and automation.

    Companies that have added automated DLP systems are able to detect user trends quickly and learn from them to grant or refuse access automatically based on the company’s important variables.

    2. Establish user-centric policies.

    It isn’t easy to secure channels one by one as employees communicate with data on PCs, tablets, USB sticks, email, etc., especially when using various security products that do not integrate. Based on user variables such as system, network, and application, it’s easier to monitor data.

    3. Be carefulof protecting only a subset of your entire data.

    Many organizations run their DLP systems in audit-only mode or take a black-and-white approach to blocking or enabling all access to data. Besides, while leaving others wide open, they secure data carefully, but only for some networks or avenues. Such techniques leave organizations vulnerable to downtime, lost image, fines, litigation, and data loss.

    4. Avoid a mix of unintegrated, point security products.

    This primarily occurs when companies initially have a very basic requirement, which expands as they expand and incorporate security items. When you want a more holistic, integrated, and effective approach, joining several security tools leads to disconnects, gaps, and inefficiencies.

    5. Evaluate emerging platforms for centralized security.

    Visibility across hybrid, private, and public cloud networks can be enabled by newer, more unified systems while automating security policies based on changing circumstances.

    While many companies are hit by breaches, those who have added automation in place with behavioral analytics, cloud data control, and machine learning are much better. It can help organizations manage their safety more efficiently by concentrating on the individual, taking a dynamic approach to analyzing their actions, and adjusting security policies based on actual risk.

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