May 4, 2022
Businesses are embracing digital transformation to drive agility and ensure their success in a digital-first economy. This includes adapting to digital technologies like the cloud and the Internet of Things (IoT) as part of their transformation strategies.
But as these abilities open companies to more interactions and business growth, they also force them to address risk challenges that are continually multiplying. These vulnerabilities came into light during the peak of the COVID-19 pandemic when businesses were forced to accelerate their digital transformation initiatives and increase reliance on third-party vendors. This led to sharing important data beyond the regular network, thus increasing financial, reputational and regulatory risks.
This is where digital transformation frameworks can help create a foundation for robust digital security programs that enable you to keep up with the rapid changes faced while transforming the business.
What is a cybersecurity framework?
A cybersecurity framework is a set of guidelines and best practices for a highly functional cybersecurity program, helping organizations manage the risks of going digital. They are strongly recommended for organizations that must comply with industry, national and international cybersecurity regulations, as they are often the foundation for regulatory compliance and can reduce duplicated efforts when implemented properly. The CMMC cybersecurity framework is a perfect example.
Types of Frameworks
As more enterprises adopt leading-edge technologies to increase their digital transformation efforts, they are open to more significant security attacks. This highlights the importance of a digital transformation framework that augments your digital transformation strategy. But before that, you need to understand how the framework supports the future of cybersecurity solutions.
Automation and AI
Automation and artificial intelligence-powered cybersecurity solutions play a crucial role in helping businesses avert increasingly complicated security threats. In fact, automation is a precursor to machine learning systems that detect attacks or monitor the indicators of complex attacks that are not easily identifiable.
Data-driven
Data sets play a critical part in providing data and validating the data-driven systems that include machine learning and AI algorithms. Such data-driven approaches will make it easier to deploy security automation as it provides comprehensive information on your cybersecurity programs and the attacks against them.
Standards-based
By deploying standard-based solutions, you can increase your cybersecurity program’s resilience. You can build on traditional and emerging standards to create a unique structure for your CPS systems that ensures your network security at all times.
Physical Security Integration
There is a close link between cyber and physical systems and their security mechanisms regarding IoT and CPS systems. Such a close connection between them has paved the way for the integration of physical and cybersecurity measures. This proves helpful for all the industry sectors that employ both cyber and physical security infrastructures.
Vulnerability Databases
Vulnerability databases are used to monitor and distribute information on potential cybersecurity vulnerabilities. CMMC is one of the most effective cybersecurity frameworks, as it includes many key components from NIST. This and other similar databases collect the data necessary for security automation and intelligence for your organization. They give users access to updated information on cyberattacks or data breaches, making it easier to build a security strategy that works.
Cybersecurity frameworks such as CMMC are a necessity. They can help you adhere to best practices and compliance requirements for enhanced network, IoT and cloud security. Rimstorm can help you implement these frameworks to maximum effectiveness.