In a constantly evolving tech world, surrendering to the cyber space has become inevitable.A Digital world where networking and online businesses are well integrated with our daily lives, it is hard to overlook the security concerns that come along with it. Records related to Health and Wealth will be the most vulnerable domains for hackers trying to get access, posing a major threat.
Organizations face various challenges pertaining to cyber-security today, that involves security breaches, ineffective security protocols, dearth of 24/7 support, security threats faced by the employees and the unpreparedness for those threats, phishing and lack of training about security threats and scams.
With constantly changing ways of hacking and cyber crimes, it is quite challenging to tweak cyber security systems to be a fool proof. However, here are some of the most promising technologies that can take cyber security to a next level.
Artificial Intelligence and Machine learning
AI and Machine Learning go hand in hand. It relies on human cyber analysts to train the machine learning applications using the existing data. Unsupervised machine learning is still under research and experimentation. Some areas where AI is useful for cyber security are:
Machine learning enables some of the fastest ways to identify and curb the possible cyber-attacks.ML uses advanced learning and information gathered to develop endpoint security. An integrated AI and ML system can go a long way in helping with identity management by checking the veracity of data across platforms. Hence, they are also undeniably the future of cyber-security and threat intelligence.
Hardware authentication:
Hardware authentication plays a major role in cyber-security by enabling the user authentication in devices/gadgets such as smartphones, laptops or any hardware system which requires operation by authorized users to increase security. Access points such as passwords, fingerprints etc. help the user to get authenticated access to the device. Hardware authentication is a necessary and important feature for the Internet of Things (IoT), ensuring that ‘anything’ that requests access to it is ‘something’ that should and can have access to it.
The only downside of hardware authentication is the possibility they can be stolen or lost which can lead to login issues for the user.
Automated and adaptive networks.
Realtime detection of anomalies or deviations of connected networks is made possible by the monitoring and scanning by automation. Automatic updates such as antivirus, endpoint, firewalls, payload etc. plays an important part in diagnostics and analysis of cyber-security. The automated networks work in tandem with support applications of AI and ML.
Blockchain cyber-security
This is one of the constantly evolving cyber-security technologies that has a high potential. It works on the peer-to-peer fundamentals. With the help of this technology, the security system of a company can leverage public key infrastructure for user and device authentication. In combination with AI, this can prove to a fool-proof authenticated verifying system that can keep potential cyber threats at bay.
Zero trust model
This is a model that has evolved from the loopholes in the traditional security models. It is based on the principle of offering strict access controls and eliminating default trust of even those inside the network perimeter. It targets to use authentication to re-ensure security, but in a manner in which the user is not overburdened. This means enabling the re-authentication feature due to suspected malicious activity and any anomalies. This brings about the combination of identity technology with application and API protection technology.
A myriad of these upcoming technologies can help reduce security gaps and enhance cyber-security, curbing the increasingly malicious threats and security concerns in the cyber world.
