Smart Cybersecurity: What Are the 4 New Evolving Technologies?

Sophisticated cyber-threats which are ever becoming sophisticated, along with the surge of digital transformation has propelled the need for smarter cybersecurity. As it has become apparent that there is a need to lessen the gap in security processes because we have too heavily relied on manual processes. This has resulted in administrative burdens, and perhaps a skills gap in data security management.

However, emerging technologies are indicating that there is a way to enhance cybersecurity and these include:

  • Automated and adapted networks
  • Super-computing
  • machine learning
  • artificial intelligence.

 

Automated and adapted networks

Scanning and monitoring of networks can occur when you implement automation, as this will allow for reporting on any anomalies and deviations in real time. Updating of the defence framework can also be implemented automatically, these include firewall, anti-virus, endpoint and network. Automation also allows for analysis for your cybersecurity.

Super-computing

Super-computers are different from your average computer as they act as vast data storage facilities and their vast computer computational powers. These super computers are considered the engines of the future automation. Recently the National Academy of Sciences completed a study on “The future of super-computing and commented that its vision was that supercomputing was highly beneficial in its role in national security. However, in cybersecurity it is also very promising and has certainly been declared as being potentially beneficial when reviewing the flow of internet traffic and using these to investigate against the models so that suspicious behaviour is detected quicker.

Machine Learning

This is essentially the capacity for a computer to act without any programming. It often combines with Artificial Intelligence and can be considered as rapid automation of predictive analytics. Through machined learning, there can be a faster way to identify cyber-attacks, and to be able to push that information to endpoint security. Machine learning, along with AI, can also be used to counteract threat intelligence. It can be used to correlate data and detect new threats without known signatures. It can also understand the nature of any attacks and review network vulnerabilities and potential risks.

Artificial intelligence

Artificial intelligence is essentially technology that emulates human performance by learning, drawing its own conclusions, understanding the context of a situation, and perhaps replacing human execution of tasks. Computer that currently have AI have the capacity to learn, plan, problem solve and have speech recognition. When AI and machine learning are applied together, computing systems are more persuasive, and extremely critical to cyber security. The focus on research and development in cybersecurity has certainly shifted its focus on to AI and machine-learning. More importantly from a holistic standpoint, AI has been able to support to protect against increasingly sophisticated malicious malware, ransomware and social engineering attacks. At this present time, AI is not sentient yet, but you can certainly see a future where AI cognitive autonomy will be able to determine cyber-attacks and mitigating them.

 

By evolving, researching and developing these emerging technologies, will help to continually prepare us for an ever-changing cyber security landscape.

If you need help with your cyber security, then do contact Mode IT today.

Categorised in:

This post was written by Anwen Haynes1

Comments are closed here.