Today, organizations use AI extensively to detect cyber threats. Over 50% of organizations implementing AI-based cybersecurity solutions have a high usage rate for detection purposes . Detection reflects the unique capabilities of AI, through machine learning or deep learning, to use behavioural analysis to identify irregular traffic continuously.
After an explosion in the early 1860s killed his younger brother, Alfred Nobel invented dynamite, allowing miners and prospectors to dig through stone faster and safer.However, Alfred Nobel was saddened and regretted his invention when he soon discovered that people used dynamite to harm others.
Despite the many benefits AI brings to cybersecurity systems, it doesn’t come without challenges and limitations. The drawbacks of implementing artificial intelligence into cybersecurity present themselves in two primary forms: usage by cybercriminals and the high adoption barriers.
ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: FOR GOOD OR BAD.After an explosion in the early 1860s killed his younger brother, Alfred Nobel invented dynamite, allowing miners and prospectors to dig through stone faster and safer.
Recently, a NIST study tested the recognition accuracy of 184 humans and four of the latest face recognition algorithms, and published the results in the Proceedings of the National Academy of Sciences. The human recognizers consisted of three groups: a group of 87 trained professionals, a group of 13 so-called "super-recognizers" (people with exceptional talent), and a control group of 84 untrained humans.
Ai is a very useful tool for businesses and consumers, but how can it be used to protect sensitive information? By crunching data quickly and predicting analytics, AI can do everything from automating systems to protecting information. Although some hackers use technology to achieve their goals, protecting data security is an important role of ARTIFICIAL intelligence technology.
Artificial Intelligence (AI) is a new technical science which studies and develops theories, methods, technologies and application systems for simulating, extending and extending human Intelligence. It consists of different fields, such as machine learning, computer vision and so on.
Machine learning is defined as "the ability of (computers) to learn without being explicitly programmed", and it will also have a huge impact on the information security industry. This is a potential technology that can help security analysts, from malware and log analysis to earlier identification and repair of vulnerabilities.
As of now, AI security is still a very new field. This article conducts a comprehensive analysis from the three aspects of standardization, robustness, and assurance to help everyone understand AI security.
We often hear about the positive aspects of artificial intelligence (AI) security — the way it can predict what customers need through data and deliver a custom result. When the darker side of AI is discussed, the conversation often centers on data privacy.