Between cyber security and cyber criminals, it’s a fact that the latter always have a head start. A new, smart and rather an effective strategy to catch up on the lag is with Artificial Intelligence (AI). Let’s find out how things work here! In the last few years, AI made a huge leap into many different domains that goes beyond chat-bots in customer service, industry automation and the typical smartphone assistants like Apple’s Siri, Microsoft’s Cortana and so on.
As we speak, AI today has integrated with cyber-defence offering revolutionary cyber security solutions when it comes to identify cyber-attacks and tactics practically in real time. It’s also capable to perform in-depth analysis and even fight back quicker than any other solution existing to date! In fact, AI powered systems can optimise automatically and continuously, self-learn and adapt to the ever changing IT requisites in respect to the current threats.
The real picture: Five malwares a second
The everyday experience in any almost any enterprise would make you realise the need of a smart solutions. This is further fuelled by digitalisation and stricter networking brought forth by Internet of Things (IoT) which give hackers a platform to advance their assaults.
There isn’t a single day when we don’t see some 400,000 new malicious programmes and web-based activities which adds to the overwhelming number of five per second. No wonder why IT security teams face a challenge in detecting the attacks and fights them back in time!
To make things more difficult, cyber-defence security offered by systems of yesteryear keeps shrinking. Consider the scenario where seed of the attack is implant unnoticed and more or less 150 days go by during which attackers are free to come and go within the enterprise only to embed deeper into the core structure.
AI ready for security
AI embedded in the security systems changes everything from deployment to breach detection and taking on-time counter measures. All of this is possible due to the dubbed “Machine Learning”; a subset of artificial intelligence. You’ll be surprised to know the roots of this particular method dates back to the 1960s but the advance computers of today and exposure to technology presents a perfect platform for deployment.
Within the domain of cyber-defence security, two methods of machine learning are most relevant;
- Supervised machine learning is concerned with the system being fed known data samples and hacker behaviour. The system then abstract the samples and common patters as well as learn how to utilise the knowledge in future.
- Unsupervised machine learning is where system automatically adapts to the environment where it’s being deployed. In routine context, it copes with common aspects of data traffic within the enterprise network so that it’s able to detect even the slightest deviation without any pitfall. This defence method is further bolstered by combining two different methods.
Deep Learning to dive much deeper
Machine learning in security systems is far more effective with “Deep Learning” technologies. The methods mimic human cognition and thereby stimulates a tightly entwined network of nerve cells; yes it’s a real “neural network” deployed in a hierarchical pattern on different levels. This way, it starts working from simple network dependencies and moving up to a more complex level.
Deep Learning has proved superior to even highly intelligent and experienced humans as proved by Deep Learning system programmed by Google. Remember that epic moment when it defeated world’s best players of “Go”; a Chinese board game. The number of possibilities in the game are too broad for any computer to analyse yet; a system programmed by Deep Learning ousted some of the best player.
New threats: Identification & foresight
In a broad cyber-defence security world, Deep Learning can identify new threats, understand behaviour pattern of the attacker, recognise new malware and tools being used. It helps in taking timely action before a virus is triggered thereby saving critical IT infrastructure from total collapse and downtime.
Unless something broader and incredible come forth, AI has it all to outsmart cyber attackers!