AI-based cyber security systems are gaining popularity these days. Because AI-based systems can quickly analyze large amounts of data to identify patterns and anomalies that may indicate a security threat. This can be much faster and more efficient than manual analysis. AI-based systems can learn from past events and adapt to new threats, which can help them to stay ahead of emerging threats.
Realtime protection and response are possible which can help to minimize the damage from a security breach. In fact AI Cyber Security systems can help to free up human resources by automating many routine security tasks, allowing security professionals to focus on more complex tasks.
How AI-Based Cyber Security System Works?
AI-based cybersecurity systems typically use machine learning algorithms to analyze large amounts of data and identify patterns that may indicate a security breach. This data can come from a variety of sources, including network traffic, user behavior, and system logs. The AI system then uses this data to create a model of normal behavior, which it can use to detect anomalies and potential threats.
When a potential threat is detected, the AI system will alert security personnel and provide information about the threat, such as its location and potential impact. The security team can then use this information to take appropriate action, such as blocking the threat or investigating further.
Which are the best AI-Based Cyber Security System?
There are various AI-Based Cyber Security Systems that are available, I will list some which are best in my opinion.
DarkTrace is a cybersecurity company that uses artificial intelligence to detect and respond to cyber threats. It was founded in 2013 and is based in San Francisco, California. The company’s technology is designed to mimic the human immune system to identify and protect against a wide range of threats, including advanced and emerging threats. Darktrace is known for its innovative approach to cybersecurity and has won several awards in the industry.
LinkShadow has an automated detection system that listens for threat signals. It studies the behavior of IT systems and searches for weak signals through deep machine learning by filtering gigabytes of data in real time to proactively predict attacks.