Security and privacy of data are the key models for all organizations in the current day and age. When it comes to digital threats, a semantic approach needs to be followed. Digital threats like Ransomware, legal battles, DDoS (Distributed Denial of Service) are bringing additional responsibility for an organization.
How can an organization prioritize in case of such a pressing situation? The answer lies in a new term known as Design thinking.
This blog will help you understand how an effective design thinking capability can help you tackle the issues related to data threats and privacy.
What is Design Thinking?
Design Thinking is both theory and a process. Focused on offering solutions to complex problems with a customer-centric approach, using Design Thinking will completely change the way organizations develop products and services by bringing together innovation with human centricity, technology, and economic feasibility on one plate.
The essence of design thinking is simplified, it is a proactive approach to solve customer needs with iterations and prototypes, building empathy for users. When addressing design thinking in the context of data or information, Design thinking can be a method to generate innovative solutions and solve the data challenges, based on a customer-centric approach.
Challenges of the Current Data Strategy
In recent times, a lot of Cybersecurity experts have recommended a new insight on Design Thinking. It is said that as Steve Jobs considered design thinking a precursor for the creation of the iPhone and iPad, data related challenges can also be addressed in the same order.
Also, data is created long before it reaches a user. By the time the organizations decide to use it, the rapid technological advancements make the data outdated. Technology empowers business models that help organizations build products and offer services. Sometimes, it is presumed that customer engagement will take place. Till the time, customers and technology sync up, customers have advanced to more updated technology.
Data based projects, no matter which vertical, in organizations have to deal with multiple challenges of limited time frame, restricted resources, having to meet both the progressing regulations and compliance standards on data privacy, collection, security, etc, and further using the same data to drive revenue.
Design thinking methodology steps used in digital security and privacy
Design thinking is about connecting with the human side of things. It starts by walking in the user’s shoes, that is, considering and understanding the driving force for customers/employees along with their technological requirements.
To generate an idea about the data capture, access, and communication path, you first need to recognize the valuable assets, their current and previous accessibility details. Second, how these data, tools, and practices are being utilized by the employees or the users, this will help you get an understanding of the data storage and data flow in the organization.
All this information is used by the organization’s heads to ensure the privacy and security of the data, as there are elements that can steal or exploit that data.
Design thinking fits well in the information security domain. With design thinking, cybersecurity controls can be easily deployed in a user’s environment. Any complications or any personal considerations that might lead to cohesion can be addressed. Design Thinking offers solutions for all.
Creating an inventory of all that is digitally available – intangible and hardware. This mapping is important in finding the entry points for the attacker, who has access at what levels, and how he/she can breach to get the data or information access.
Once the organization’s assets are mapped, the next step is to address them efficiently. You need to deploy all the solutions with the appearing problems. At the forefront, technical problems are defined along with technical solutions. This is paramount to achieve information security.
Design thinking enhances the thought process. Companies are working day and night to develop and deploy new products. Security measures are taken with the help of analytical design thinking approach to meet the long term data security and privacy objectives. With design thinking’s thoughtfully integrated solutions, every product works in sync with others.
Design thinking focuses on working block by block on an issue or problem. Design thinking helps you think long term but focuses on taking small steps to reach the final goal.
Starting with the building of small prototypes and iterating based on what is working or what is not. Conducting experiments to prove or disprove ideas and adjust as per the user’s feedback.
This can be easily implemented with information security as well. Risk management follows a rigid iterative cycle, PDCA (Plan, Do, Check, Act). Design thinking replaces it on a more flexible model, ITPR (Iterate, Prototype, Test and Refine), offering solutions to real-world problems by incorporating the human side of things.
As the world moves online, the security of data and information getting exchanged has become imperative. Transparent handling of data and information will help companies increase the trust of their customers.
To say in common parlance, design thinking is a way in which design thinking practitioners think about building an effective solution for any idea or a problem. The steps in design thinking will take a human-centric approach for information security. This will help enhance human adherence and bring meaningful solutions.
If you find this approach to be helpful, but you do not know where to start, look no further. Start with the Stanford Design Thinking course, in collaboration with Great Learning.0