Cyber Security

  GRC Management The main objective of GRC solutions has been to focus on reducing risks, aligning IT with business goals, and adhering to industry and government regulations. But today’s world is rapidly transforming into a digital space, and organizations are moving quickly to stay ahead of the competition. Modern-day businesses are ready to take newer risks and achieve targets to reap the rewards. Although GRC is undoubtedly vital for organizations,it isn’t enough for GRC to merely focus on limiting risks. GRC objectives need to evolve as business models and associated driving processes change rapidly. Business assets like brand recognition, reputation, and customer transparency are more influenced by the latest business models. One of the main reasons for the evolution of these business models is the emergence of artificial intelligence (AI). Some other reasons are blockchain technology, cloud-based environments, and the Internet of Things (IoT). GRC can use this opportuni...

  OT Security With new improvements in the field of automotive technology, cars have become more digitized. The concept of connected technology has enabled new in-vehicle capabilities, for example, over-the-air (OTA) updates and features-on-demand (FOD). As we maneuver along the track and appreciate the automotive industry’s benefits, we often seem to impedimental by ever-increasing cybersecurity threats. The automotive industry is speeding up with connected technological updates. Cars have appealing hardware along with intelligent software to exploit the technology like never before. These cars explore the automotive industry via well-defined software for better user interaction along with digitally packed hardware to ensure proper functionality. Both the hardware and software collectively are known as firmware. The firmware is contextually referred to as “operational technology” (OT). OT security is of prime importance for the automotive industry. The cars are loaded with te...

cyber security consultant The fight against misinformation has always been challenging. In recent years, there has been a sharp rise in the manipulation of content using AI, resulting in several deep fakes and misinformation cases. As a worrying scenario, AI has been largely misused to create fake news at a much faster pace. It has been more so with the ever-growing advancements in the AI field, causing financial as well as reputational damages. The consequences of AI-generated fake content could be vindictive. It could lead to a well-planned dissemination of misinformation. It could also promote cyberattacks. The AI-generated content could be used by the hackers to create personalized spam messages or images with encapsulated dangerous code(s). This problem has been recognized globally by cyber security consultants and is the cause of major concern. Furthermore, the deep fakes could also lead to an alarming increase in unethical practices such as plagiarism and intellectual property ...