As we know, OpenAI is an AI research company involved in the development of general artificial intelligence for the benefit of humanity as claimed by the company. This company has developed some amazing technologies like DALL-E (creates images from descriptions), ChatGPT (A tool providing a conversational interface using natural language processing and AI/ML technology), and so forth.
Here are the six unheard and unknown facts about OpenAI:
AI is always known to be by learning. By digesting billions of data items, AI enhances its ability to “understand” cybersecurity dangers and risks. AI reasoning identifies risks more quickly. In seconds or minutes, AI evaluates correlations between risks such as malware files, strange IP addresses, or insiders.
Hackers can defeat security algorithms by targeting the data they train on and the warning flags they search for, thus machine learning and artificial intelligence can assist protect against cyber-attacks. According to internet statistics, the global market for artificial intelligence in cybersecurity is predicted to increase at a CAGR of 23.6 percent from 2020 to 2027, reaching $46.3 billion.
Because AI and machine learning can swiftly scan billions of data sets and hunt down a wide range of cyber dangers, from malware to shady behavior that could lead to a phishing attack, they are becoming increasingly crucial in cybersecurity.
Artificial intelligence aspires to mimic human intelligence. It has enormous potential in the field of cybersecurity. Artificial Intelligence (AI) systems can be trained to provide threat warnings, identify new types of malware, and protect critical data for enterprises if used correctly.
Continue reading Artificial Intelligence for Cyber SecurityTelecom operators are currently using Artificial Intelligence (AI) technologies to improve their services. Cloud providers are beginning to provide AI as a service, making the technology available to all customers. Compromising an operator is valuable to the attacker, and using AI to increase their success rate is considered a technique to do so. Telecommunications providers are also under attack from two directions: direct attacks from cybercriminals attempting to compromise their organization and network operations, and indirect attacks from those attempting to steal their subscribers’ data. Many classic attack vectors are present among the top threats now attacking each of these frontlines, but with new twists in terms of complexity or size that place new demands on telecoms businesses. The following are some of the threats: