Theof today’s data industry is a result of the dramatic increase in data generation and consumption worldwide. The only way for organizations to keep up with the continuously growing and changing data is to prioritize data as an asset.
Today, organizations are beginning to recognize the potential of their business data and are working on fostering a culture that prioritizes data and leverages it to drive their. But putting data first is not enough. As data increases in volume, the threats surrounding its security rise as well.
In this article, we’ll discuss the role ofand elaborate on the security best practices for protecting enterprise .
Table of Contents
What Is & Why Is It Important?
What Are the Concerns in a ?
How to Ensure in a Data-First ?
What Is the Future of and How to Prepare for It?
What is a Modern?
Ais a system or collection of data, its environment, and its interactions among various business processes and tools. The data environment can include infrastructures, , programming languages, applications, analytical tools, and any other entity interacting with data in its .
Data interactions refer to the actions performed on data by its environment, such as, data sharing, , data analysis, etc. Data evolves with time, forcing the environment to change or find ways to adapt to changing business requirements.
The entities involved in a moderninclude:
Data: Data is central to its, and all processes revolve around it.
: Organizations collect data from disparate . They can be inside an organization or an external third-party source.
Data pipelines: Data pipelines are data movement entities that connect all organizational teams to the, where they can pull data based on their specific .
: are any entity that uses organizational data and its insights. It can be or analysts taking transformed data for reporting or analytics. Business applications are also that utilize company data through .
Modernare unique for every organization due to the specific strategies these organizations use for leveraging and operationalizing data. They are reshaping organizations’ . They are putting data at the center of an organization to promote a data culture that democratizes data and leverages it to drive business decisions. Organizations in a can benefit from having enhanced operations and optimized business outcomes.
What Is& Why Is It Important?
Modern technologies like cloud computing,, , , etc., have enhanced the use of by reducing infrastructure requirements and costs. At the same time, data is more exposed to and . Moreover, data in the cloud is exposed to more threats than data on-premise.
The growing advancements in technology are, unfortunately, also increasing advanced malware threats. With data theft and attacks on the rise, damage control should not be our only security strategy. There is not much left to salvage onceis lost. The need of the hour for all modern organizations is employing threat and prevention strategies to reduce potential .
protects organizations’ from unauthorized access, theft, attacks, loss, etc. From the physical protection of an organization’s hardware to the logical protection of software entities, encompasses the entire to protect it at every stage. An organization’s data policies and regulations also fall under this umbrella. These policies essentially apply to the usage of sensitive like personally identifiable information (PII) in , finance, data for appliances, or customer data for e-commerce systems.
An effectivestrategy can save an organization’s from threats and breaches. It gives a clear view of an organization’s critical information and its entry points so an attack or breach can be blocked as it occurs. also ensures data integrity and reliability in accordance with company policies throughout the data .
What Are theConcerns in a ?
In today’s digitally connected world,, sharing, and collaboration have introduced organizations to many diverse . Data sharing has become a common practice within and between organizations, allowing them to disseminate the same data for multiple uses. Such operations should be governed by organizational policies for effective .
exposes an organization to many security and regulatory risks. It involves putting your data in the hands of other organizations. Such a practice always carries the risk of data misuse and theft. Incorporating data changes has increased the challenge of maintaining data integrity while .
For organizations to gain accurate insights, they need to deal with the latest data. Moreover, the differingpolicies of different organizations can pose regulatory prohibitions on data sharing.
Even with the availability oftools and technologies, organizations are still battling security issues like:
Increased chances of human errors
Unauthorized access to critical data
Risk of data misuse and replication
Risk of data loss
Issues with data control and governance
Data compliance issues
Short-sighted security strategies that fail long-term and cannot scale as the organization grows.
Some underlying reasons for the growing security challenges include:
Lack of knowledge of the organization’s, i.e., where the resides and how it flows through the organization.
issues or by unauthorized users
Lack of monitoring of potentially risky data transfer
Delayedin case of a breach of
Lack of policy enforcement and adherence to company standards
Related Reading: What is the Best Way to Move My Data Securely
How to Ensurein a Data-First ?
All technologies and tools become useless if an organization lacks an effective security strategy to protect its data environment. To create a secure data environment, organizations must take meaningfulat every level to ensure throughout their . Following are some of the steps and best practices for organizations that wish to optimize their organizational .
Human Error Awareness
While putting together tools and strategies for protecting their, organizations often overlook their weakest link; humans. Even the slightest mistake by an employee can lead business data to incur massive damages that take a fortune to recover.
Every organization is protective of its data. They can utilize security platforms and educate employees on compliance policies to ensure. Usually, the employees know what their organization is doing to protect data but are unaware of individual security roles.
Staff training should be an essential part of an organization’s security practices. They should be educated on good security behavior through conferences and seminars on. Some security practices that every employee should follow:
Using strong passwords and avoiding sharing passwords on any platform
Knowing how to handle
Recognizing malicious attacks to take timely actions
Protecting their personal and office systems from unauthorized access
Following encryption protocols for distributing critical information
An added security layer in the form of a human firewall plays a huge role in an organization’s fight against security breaches.
Breach And Attack Simulation
Security platforms are crucial to an organization’s security practices. To ensure the effectiveness of these platforms, it is essential to test their strength against attacks and their adherence to security controls.
Breach and Attack Simulation (BAS) is a security testing method that recognizesin an organization’s security environment. BAS assumes the role of an attacker to follow potential attack paths and simulates attacks on the system to test its security.
This strategy is effective because BAS is an automated and continuous testing technique that functions non-stop. It gives a clearof an organization’s security environment. It automatically simulates attacks that target an organization’s most critical data and assets and then provides prioritized solutions to its security weaknesses. In this way, organizations can strengthen their weakest links to sustain a secure data environment.
Security Vendor Consolidation
When looking for security tools, organizations typically take one of the two approaches; vendor consolidation or best-of-breed. The problem with choosing the best-of-breed strategy is that no one tool can do it all. But going for multiple tools ties the organization to many vendors that complicate their security processes and administration.
The solution is simple; security vendor consolidation.
Security vendor consolidation is a strategy that converges multiple security technologies to gain their combined benefits at reduced costs. The idea behind consolidation is to get maximum risk coverage while reducing the number of security vendors. The security gaps left by one technology can be covered by another, resulting insecurity operations that enhance an organization’s strength against cyber threats.
solutions cover a range of organizational assets located internally (on-premise infrastructures) and externally (e.g., cloud or externally located servers). In isolation, these assets can ensure adherence to security policies. Security control issues arise when data is exchanged between these assets.
This is where amesh can play an important role. A mesh is a modern security architecture consolidating an organization’s security structure and uniformly securing all organizational assets. This approach to security can the protection of distributed assets by ensuring consistency in security policies.
mesh creates a scalable and flexible network of security tools that provides a holistic view of an organization’s security environment. A holistic view plays a vital role in catching security attacks in , allowing organizations to timely block .
has come to the rescue of many industries with its ability to compute large data volumes that are growing daily. is no different, as it also deals with the security of massive amounts of data that can benefit from AI security solutions.
AI can help enhance security measures against malicious attacks.tools can leverage to create self-improving security solutions that learn from previous data to prevent future attacks. These also allow the of how and where potential security threats exist.
Automating security measures allows for a faster and more efficient response to threats and attacks than manual procedures. As data grows, AI-driven security measures scale and improve. They can automatically and accurately identify the strengths and weaknesses of a security environment.
The best part of an AI-driven security approach is that it keeps organizations up to date with the latest risks and threats that can potentially come from attackers using the same AI technologies to commit cybercrime.
Related Reading: Top 6 Data Security Tools For 2022
What Is the Future ofand How to Prepare for It?
It is not surprising that the latest advancements in the technologyare setting the stage for advanced attacks. The industry will have to leverage the same advanced technologies to fight these attacks. While some basic security practices will not change, new security solutions will also arise to protect a growing data environment that will increasingly become more vulnerable.
The best approach to prepare for such a future is to keep your organization up-to-date and educated on the latest security best practices as well as the latest trends of cyberattacks. Future attackusing AI should be integral to your security approach if you want to stay one step ahead of potential risks. Lastly, learn from past mistakes, improve your security weak points, and do not forget to fill the penetrable gaps in your architecture.
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