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Infrastructure security and its role as resilient business armor
93% of the total data present in your organization’s data centers is likely to be exploited by noncriminal. This means that 93% of the time someone outside your network could get past your defenses and use your local network resources.
What can go wrong? If your business loses data or has intellectual property stolen, it is out of compliance and could face significant penalties for non-compliance.
Interestingly, only half of the small and medium-sized enterprises (SMEs) actually have an incident response plan to protect their IT systems.
In this blog, we talk about how infrastructure security protects the privacy, reliability, and accuracy of data, all of which are critical to the long-term success and growth of a business.
Why is infrastructure security important?
Digital technology, digital experiences, and digital security are the elements that drive our modern digital world. When it comes to securing servers, networks, and IT workloads, businesses today rely heavily on data-driven decision-making. The more devices that connect to your corporate networks, the more your company’s intellectual property will be accessible through public networks.
As your company’s Chief Information Security Officer (CISO), it’s your job to invest in a comprehensive infrastructure security plan that protects your organization from physical and cyber attacks on your on-premises data centers, cloud-native infrastructures, and all critical endpoints on user terminals.
What are the three types of infrastructure security?
Security and risk management (SRM) executives agree that there are three main elements of an organization’s IT infrastructure that must be in place for it to function effectively. These components include securely managing your critical endpoints, future-proofing your organizational networks, and creating a robust infrastructure-as-a-service (IaaS) delivery model for secure cloud-native operations.
Let’s look at these three types of infrastructure security in detail.
Protecting computer networks that are virtually connected to end-user devices is an important aspect of securing your business infrastructure. On the other hand, your critical business data that travels across multiple endpoints is a business asset for your organization’s security leadership. This means they must develop policies and strategies that align with their business integrity goals.
Simply put, an endpoint is any external device that connects to your internal business and exchanges data in return. To ensure reliable endpoint security, you can develop a strategic endpoint detection and response (EDR) strategy to help protect critical information and ensure that authorized parties have access to it.
What industry practices can we adopt to modernize our company’s network security? How can we transition our existing security tools to a cloud-native infrastructure?
What policies and procedures can we develop to provide authorization to devices accessing business data over public networks?
As a CISO, you may think about these questions quite often. But how exactly do you plan to optimize the security management of your critical infrastructure? An effective solution would be to conduct regular assessments, practice accountability, and ensure compliance with IT security standards at a basic level. The first line of defense in protecting your IT infrastructure should be to use the most modern security architecture paradigms when implementing network infrastructure security.
Infrastructure-as-a-Service (IaaS): Infrastructure-as-a-Service (IaaS) is a cloud computing service architecture that can help you enable security-enhanced operations in the cloud, which can give you better visibility into your cloud workloads.
Building a robust security infrastructure:
Data security, application security, network security, and physical security are the four levels of infrastructure protection. Since protecting your data is just as important as protecting your networks from external threats, updating your software’s firmware, and creating data recovery strategies in the event of a natural disaster, it’s best to consider all four of these aspects of critical infrastructure security. resilient IT organization.
Data Governance: The Right Spectrum of People, Process, and
The way data is growing today through multiple data generation channels; organizations have begun planning data management programs. Also, the movement of data to the cloud, consumer awareness of their privacy rights, regional compliance and regulatory requirements have increased the need for reliable data management programs.
Now the question is, is data management a need for every organization, or is it only required by organizations that have a specific volume or complexity of data? To answer this question, we must first understand the three pillars of good data management programs, including people, process and technology.
The people part is the most important because they are the stakeholders who have to act in different roles to create and adopt the process and later own it. Well-trained human resources are also essential to eliminate digital disruptions and keep data management operations running smoothly.
A precise process is the second major component as it derives the entire program for implementing policies and procedures in accordance with industry requirements and standards. The absence of a fully functional process can limit the success of data management programs.
Technology plays a key role in implementing the right data management process. With recent advancements in technology, AI is being used to perform real-time data asset management. Otherwise, the expanding volume of data can cripple the work process.
To answer the above question, large enterprises, especially from the financial, telecommunications, and pharmaceutical sectors, need to invest in all three areas as they have more precisely focused compliance requirements. Enterprises need to establish a solid framework for people and processes and need the support of AI-based technologies to meet emerging data management needs. Future-ready organizations must implement a Chief Data Officer role to support enterprise-wide data governance. The choice of technology will be a critical decision to achieve maximum return on investment from management programs.
Mid-sized organizations may not be ready to invest in technology because of the huge costs involved. Still, they should start investing in people and processes to create a plan that can later lead to full implementation after technology adoption. People, processes, and technology work together to get data management frameworks right.
In conclusion, now is the right time for organizations to start thinking about data governance strategies as the need will grow with upcoming changes in business practices, compliance requirements, and emerging laws. Businesses also need to understand that a complete data management strategy will also help them use data more intelligently to understand consumer behavior.