In the year 2021, data is more powerful than ever before. It is changing the way companies approach information security, and it has already put billions of dollars in new revenue and reputational equity on the line. Technology has removed the cost barriers for storing and analyzing data. With the rise of AI, algorithms are able to analyze it at a faster, more accurate, and cheaper rate than ever before.
The COVID-19 pandemic has changed how consumers, economies, and the supply chain deport. All these changes mean that a sizable amount of legacy data is no longer helpful, and in a lot of places, organizations need to start from ground zero. Technology is playing a pivotal role in reconstructing the working world in the midst of the pandemic. Due to this, organizations are dealing with an enormous amount of data movement, storage, processing, and security concerns.
As a lot of organizations look ahead to 2021, here are a few tips for approaching the growing data responsibilities.
Employ Artificial Intelligence for Privacy and Data Leak Prevention
The biggest cybersecurity threat facing businesses today is data leaks. Sophisticated attackers have almost always been able to exploit these backdoors with little difficulty, leading to the theft of millions of records. This has led to the conclusion, based on the massive number of data leaks of sensitive information, that there must be a way to protect data without creating a paper trail of logging or having to rearrange and delete what data is already stored.
Artificial intelligence (AI) is emerging as the next frontier for data security. Organizations are using AI to create smart systems that can detect suspicious behavior, predict future events, and improve operational efficiency. Also, AI-based data defenders are empowered to learn from past data loss events and malware attacks.
Prioritize Identification and Access Management Security
The COVID-19 pandemic has weakened IAM security for a lot of organizations due to the rapid move to hybrid and remote workforces has made identification and access protocols dramatically more challenging to monitor and maintain.
As a result, organizations have implemented technologies such as single sign-on (SSO). This technology simplifies access controls and reduces the need for individual users to manage a significant number of passwords.
Reassess Digital Engagement Data
In the world of data, we always have to be aware of the possibility of unnecessary information being captured by our systems and data being analyzed in ways that are not in our best interest. This is especially relevant for organizations that are so dependent on technology. Digital data has been a huge boon for organizations, allowing them to track and adjust their digital customer experiences in real-time. The more connection we have to technology, the more data we create, and the more data that is generated, the greater the possibility of data being analyzed in ways that are not in the best interest of the business. If the organization is employing outdated data models to evaluate the customer journey, the organization is losing its competitive deck without even knowing about it.
Consider the Edge
For the past several years, the data center has been a focus for organizations looking to capitalize on the increase in computing power. But the growing global demand for public cloud services in the coming years, coupled with the future need for more sophisticated data processing and analytics, will drive significant investment in the edge, or the intelligent edge, part of the data center. As a result, the largest organizations will need to consider whether the increased need for data processing and analysis can be supported by the physical infrastructure on their own premises or whether they will need to move the work to the edge to make the most of the data center’s performance and cloud infrastructure capabilities.
Edge Computing is the next step for organizations concerned about security and privacy. The more processing power and storage at the edge, the more secure your data will be, and the organizations will be able to keep sensitive data secure. It offers organizations a more proactive approach to data security.
A successful data management strategy will require you to align data protection and security with business goals. When data is found to be missing or incomplete, data integrity becomes a forefront issue. As organizations look for ways to gain traction in the data-driven economy, they must also seize the opportunity to become data-driven themselves.