Can Artifical Intelligence Help Cybersecurity?
Last year in November, two hospitals in Ohio and West Virginia diverted patients due to a ransomware attack. The attack led system failure after which hospitals couldn’t process any emergency request by patients.
Hence, they sent all incoming patients to nearby hospitals. Similar was the attack from SamSam ransomware at Hancock hospitals, ICS firms in the USA.
Due to such incidents or attacks, ransomware today is one of the top cyber threats which is unavoidable unless we don’t use a new vibrant technology against it.
In modern technologies, Artificial Intelligence (AI) and Machine Learning (ML) are two critical limitless potentials that can provide several new cybersecurity solutions.
Additionally, the AI-powered security systems in cyberworld will ensure powerful security standards in the creation of data-driven cybersecurity systems.
It is challenging to model up the AI and cybersecurity together, but fortunately, experts have started doing it. Now, AI is taking baby steps in the cyber world with a hope to create a landmark in cybersecurity.
Is Implementing AI in Cyberdefense Possible?
The mechanism of computer network defense via AI focuses on detecting and preventing attacks on the data infrastructure as data is the key to the future global economy.
If we consider the top cybersecurity trends of 2019, machine learning is going to play a significant role. AI and ML in future will take cybersecurity to a new evolutionary phase where detection of attacks will become easy.
Implementation of AI is possible, and several cybersecurity firms are using AI algorithms to stop malware and mitigate the damage to security software and hardware.
Currently, we see the use of AI in Biometric Logins, Threat Detections, Natural Language Processing and Securing Access. Also, is used in the active security standards and effective recovery strategies.
Although there could be several benefits of AI in securing our data and internet, there is one important limitation of using it in cybersecurity.
AI systems are based on data; therefore, cybersecurity firms must feed every new dataset of malicious and non-malicious codes regularly to help AI learn fastly.
Besides, the data should be accurate because inaccurate data leads to inefficient outcomes. Finding and collecting such a precise dataset is a tedious and time-consuming task.
Similarly, black hat hackers use their AI systems to test malware which in future can even become AI-proof. Considering this, it is difficult to imagine how destructive can AI-proof malware could be?
Using biometric logins
Many cybersecurity experts believe; passwords are more vulnerable to cyber attacks. Thus, users’ personal information, banking information, etc. can be easily compromised.
Therefore, biometric login techniques such as fingerprints, palm and retina scan can be used in combination with the passwords. The most common example we see around us is the fingerprint scanner of mobiles.
Threat Detection
Today, traditional cybersecurity systems are not effective in handling new varieties of malware. Therefore, adopting AI in cybersecurity is a feasible solution to detect malware and viruses by using new encrypted algorithms and codes.
Machine learning can analyze various paths by which threat traverse to websites. Furthermore, AI systems can also be quicker and more effective than the manual approach of detection and removal.
Natural Language Processing
AI-powered systems automatically collect data by scanning articles, online content and news on cyber threats. The system select useful information after scanning the data and provides insight into the cyber attacks and prevention strategies.
With the help of this analyzed information, cybersecurity firms then identify harvested data, timescales, calculate risks and make predictions to prepare effective strategies for securing organizations from the number of cyber attacks.
Securing Access
Most of the times, organizations and businesses use authentication models to secure important data from unwanted intruders. But with AI, cybersecurity helps to create a real-time dynamic and global authentication framework that ensures the data security.
There are challenges to AI in cybersecurity but the continuous research and development in AI will increase the technology exponentially. Hence, applications using AI for cybersecurity will become mainstream in the future.
The best example we can observe is the integration of AI with advanced technologies like Blockchain for better security protocols. And then maybe, Artificial Intelligence can help cybersecurity!
Tips to Prevent virus and malware from Infecting Your System:
- Enable your popup blocker: Pop-ups and ads on the websites are the most adoptable tactic used by cybercriminals or developers with the core intention to spread malicious programs.
So, avoid clicking uncertain sites, software offers, pop-ups etc. and Install a powerful ad- blocker for Chrome, Mozilla, and IE
- Keep your Windows Updated: To avoid such infections, we recommend that you should always keep your system updated through automatic windows update.By doing this you can keep your device free from virus.According to the survey, outdated/older versions of Windows operating system are an easy target.
- Third-party installation: Try to avoid freeware download websites as they usually install bundled of software with any installer or stub file.
- Regular Backup: Regular and periodical backup helps you to keep your data safe in case the system is infected by any kind of virus or any other infection.Thus always backup important files regularly on a cloud drive or an external hard drive.
- Always have an Anti-Virus: Precaution is better than cure. We recommend that you install an antivirus like ITL Total Security or a good Malware Removal Tool like Download Virus RemovalTool
