…Realities, possibilities, experimentations, use cases and underlying capabilities. How it’s influencing solving security problems.
The aim of cognitive computing is to mimic human thought process in a computerized model. Using self-learning cognitive algorithms that use data mining, machine learning, pattern recognition, and natural language processing; the computer can imitate the way the human brain works. Cognitive Computing is enabling businesses in nearly every industry domain ranging from education, security or health industry to better serve their customers. It is quite interesting that how cognitive computing is finding its implementation across domains. One of the use cases, in the healthcare industry, is that hospitals are utilizing it for improving children’s experience before, during and after their hospital visit or stay.
Cognitive computing is redefining the way customer engagement is done across various industries. In the entertainment domain, it is used to provide assistance to customers in the form of personalized TV that sends content specific to the customer. Another use is to design visual and auditory cognitive computing, in order to reflect human-like thinking and actions. That means a device could recognize objects, read handwriting, identify people and understand the overall context of a setting. Overall, cognitive computing is changing the way we work and live.
In the digital world, data is growing at an astounding rate and extracting knowledge from data is one of the key discriminating factors for any business. But this data contains unstructured knowledge. Gaining insights from this unstructured data is the need of the hour. Cognitive computing techniques allows humans and computers to collaborate, in order to gain insights and knowledge from the unstructured data by uncovering patterns and anomalies by leveraging natural language processing, machine learning, data mining and pattern recognition.
In today’s world where computing capabilities are at your disposal, cyber-attacks are becoming more and more sophisticated. Infiltrators are utilizing cognitive computing to intrude an organization’s network and steal important data. So, it is utmost important for the organization to keep up the pace of securing its assets with cognitive computing. The cyber security paradigm is shifting from defensive to proactive approach with the changing threat landscape of cyber-attacks. The simple truth is that threats evolve too rapidly for most cybersecurity systems to keep pace, and the ever-growing amount of data that companies hold is only increasing the challenge. The new definition of security includes concepts such as protect, defend and deter.
The successful defensive mechanism defines with minimizing the gap between the time an attacker infiltrates the network and when they launch a defence for that compromise. To combat a cybercrime it requires proactive thinking and implementing a layered strategy. Cognitive computing enables organizations to build a good defence mechanism against the bad guys. Cognitive computing enables systems to gather intelligence through learning as it anticipates the next attack on security. This process allows for immediate and effective threat responses. Cognitive computing facilitates solution for automated learning and building process, upon which malicious patterns are discovered and brought to light, and dispatched in real-time. Add to this approach, the cognitive algorithms that will continually learn and adapt to new, emerging threats and zero-day attacks, and you have cutting-edge technologies that collectively strengthen our cyber defences against known and unknown enemies.
There’s no limit to what continually learning cognitive computing infrastructures can accomplish, especially when applied with good cyber practices.