Cyber security has become a major concern in the digital era. With the advances in information technology (IT) criminals are using cyberspace to commit numerous cyber crimes. Data breaches, ID theft, cracking the captcha, and other such stories abound, affecting millions of individuals as well as organizations. The challenges have always been endless in inventing right controls and procedures and implementing them with acute perfection for tackling with cyber attacks and crimes. Cyber infrastructures are highly vulnerable to intrusions and other threats. Physical devices and human intervention are not sufficient for monitoring and protection of these infrastructures; hence, there is a need for more sophisticated cyber defense systems that need to be flexible, adaptable and robust, and able to detect a wide variety of threats and make intelligent real-time decisions.
Technology plays an important role in solving the issues faced by industries across the globe, and many of them are investing to harness it. But the question arises—which technologies will really change the world? The best way to address the question is the use of emerging technologies such as artificial intelligence (AI) and machine learning. AI is an opportunity that will play an important role in the coming years to secure data against cyberattacks intelligently.
From chatbots to smartphones, artificial intelligence (AI) is already popular in transforming the digital world. You just might not be aware of it. But as the digital era is growing at a rapid pace, it is also bringing security threats to one’s private information like never before. The technology allows security experts to detect and stop cyber threats with less human interference than is usually expected or required with conventional security tactics.
Numerous bio-inspired computing methods of Artificial Intelligence have been increasingly playing an important role in cyber crime detection and prevention. The purpose of this study is to present advances made so far in the field of applying AI techniques for combating cyber crimes, to demonstrate how these techniques can be an effective tool for detection and prevention of cyber attacks, as well as to give the scope for future work.
What has Artificial Intelligence got to do with cyber-security?
AI has changed the face of science and engineering by helping machines to be more intelligent as we would expect individuals to act. It is still an emerging science in various aspects according to the challenges tossed by the 21st century. Cybercrimes have become quite common and an everyday news item. It is not just a dilemma confronted by one country; it is pervading across the globe. As cybersecurity grows and online attackers become more advanced, organizations must evolve. Security teams must look for other proactive tactics for Network Traffic Analysis (NTA) so as to prevent the next generation of breaches and hacks to ensure a sensible cybersecurity posture.
AI is superficially everywhere while dealing with cybersecurity concerns, whether it is a phishing detection, network security, susceptibility management, or social analytics. Data security is now more important than ever. Thus, having a strong support of enhanced technologies will ease the task of security professionals. AI is not just a buzzword anymore and is exclusively used in the industry to fight against cyberattacks.
AI allows one to foresee a cyberattack before it happens, thus helping avert it.
AI revolution in cybersecurity
AI and Machine Learning (ML) have taken a gigantic step and are now set to really start impacting all facets of society and the industry. Earlier AI and data security were not connected. AI researchers were interested in developing programs to decrease human work, whereas data security professionals were trying to fix the outflow of important data. Thus, a revolution took place as cyberattacks and data violations increased. For instance, Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is the best example of a connection between cybersecurity and AI. It is an enhanced security system that helps differentiate between a human and a machine. AI cybersecurity technology is exclusively used across several industries. It is embedded in companies’ networks as an immune system that acts as an internal defense against data hackers and identifies new malicious activities.
Where exactly can AI be applied in cybersecurity?
AI in cybersecurity solutions is either already being utilized or being strongly considered for. Some of the resulting fields are:
Botnet detection
Spam filter applications
Fraud detection (it uses algorithms based on predictable consumer performance)
Will AI be a game changer for cybersecurity in future?
AI is changing the game for cybersecurity, examining huge data risk to pace response time, and enhance underresourced defense strategies. In today’s digital world, hackers easily break through and hack the private and vital information of businesses around the world. For instance, a study by RiskIQ states that the cost of cybercrime is about USD 856,000 per minute. Therefore, the use of AI in cybersecurity helps to avert these threats. Ergo, AI technology is viewed as the future of cybersecurity.
Conclusion
We can say that AI will be able to spot invasions before they start, instantaneously detect any malware on a network, and guide incident response. This means it will allow us to form a powerful machine-human relationship that will enhance our lives, push the frontiers of our knowledge, and will boost AI in cybersecurity for enhanced network security. Find more such content and information in our latest whitepapers on cybersecurity.
