How Does Edge Computing Change the Cybersecurity Landscape?


As we embark on the journey of navigating the digital landscape of the 21st century, the evolving landscape of edge computing is profoundly changing the way businesses operate. Edge computing brings data processing as close as possible to the data source, effectively increasing the efficiency and performance of applications and reducing bandwidth usage. However, as we deliberate on its benefits, it becomes essential to discuss how edge computing is affecting the cybersecurity landscape.

Key Concepts

Edge computing decentralizes data processing by enabling it to occur directly at the source or near it. This decentralisation adds new dimensions to the security implications, presenting both new challenges and opportunities. Here we delve into some of these key implications for cybersecurity.

Pros and Cons


1. With data processed locally, less of it needs to flow over networks, reducing the attack surface for hackers.
2. It also helps mitigate the impact of a server compromise since edge computing can function by distributing information processing, storage, and applications across a wide range of devices and data centres.
3. Since less data is sent over the network, this also reduces the possibility of data interception.


1. The edge computing devices, often IoT devices, increase the potential attack surface for bad actors.
2. Keeping track of these devices and ensuring they are all regularly updated and patched can be a challenge.
3. These devices might be located outside of a secure physical location, making them more susceptible to physical tampering.
4. Due to the diverse nature of these devices, they may also lack a unified security standard.

Best Practices

Even as edge computing brings more complexity, certain best practices can help mitigate the cybersecurity risks associated with it.

1. The implementation of robust endpoint security protocols.
2. Regularly updating and patching all devices on the network.
3. Employing strong access control and encryption to protect data both at rest and in transit.
4. Utilizing a holistic cybersecurity strategy that extends to the edge of the network.

Challenges or Considerations

While the practices mentioned are essential, when adopting edge computing, certain challenges or considerations need to be taken into account.

1. Data Protection: With data now processed and sometimes stored on the edge device, it becomes vital to ensure that it is protected adequately.
2. Device Security: As the number of connected devices continues to grow, maintaining their security posture becomes critical.
3. Compatibility Issues: Due to the diverse nature of edge devices, ensuring compatibility between the different devices can pose a challenge.

Future Trends

With edge computing becoming more pervasive, cybersecurity strategies need to encompass the security at the edge, not just within the defined network perimeter. AI and Machine Learning will play an increasingly important role in ensuring enhanced security, particularly as edge computing continues to grow and evolve.


Edge computing, no doubt, brings several benefits, making data processing efficient and faster. However, it is not without its cybersecurity challenges. Hence, a robust strategy involving a combination of technology, policies, and practices would be the key to harnessing the power of edge computing while keeping the cybersecurity risks at bay.

Third-party risk management solutions such as TPRM Pro can play a vital role in your cybersecurity strategy, providing the tools to effectively manage and mitigate third-party cyber risks. With its comprehensive suite of features, TPRM Pro allows enterprises to stay ahead and secure in the ever-evolving cybersecurity landscape.