The Science and Methodology Behind Social Engineering – Social Engineering getting stronger and being exploited at larger scale compare to time before AI & ML (Jargons for Artificial Intelligence & Machine Learning). With the help of ML social engineering is now becoming super easy as machines are doing […]
Payments Security Landscape – The risk of info security on data, application logic, and financial value losses are continually growing fast. For this reason, Artificial Intelligence and machine learning-based infosec tools for banking and mobile payments are getting huge attention. Starting from risk underwriting to credit rating & scoring […]
Security as a Service (SeCaaS) – The ability, privacy and the confidentiality of information must be … Artificial Intelligence (AI) and especially Machine Learning (ML)… are growing fast and are making it possible to simulate …
The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.
Somebody mentioned it to me some time back and I laughed then. The day you decided to come online you actually accepted “No to privacy”. Now its even worse as we can even use radio signals to see through walls so no need to be online. Signals now can be used to monitor a person’s precise movements through a solid wall. What else and how far we will go cant answer now. But all these development for sure has its pros and cons sides.