It's interesting to note that advancements in technology, particularly in Artificial Intelligence, have brought about significant changes in the way IT security professionals approach cybersecurity. With newer AI-powered cybersecurity tools and systems, data protection against potential threats has been enhanced by recognizing behaviour patterns, automating processes, and detecting anomalies quickly.
One of the key benefits of AI in cybersecurity is its ability to monitor, analyze, detect, and respond to cyber threats in real-time. AI algorithms can analyze massive amounts of data to detect patterns that are indicative of a cyber threat, and can scan the entire network for weaknesses to prevent common kinds of cyber attacks. AI primarily monitors and analyzes behavior patterns, creating a baseline to detect unusual behaviors and restrict unauthorized access to systems. With the ability to prioritize risk, AI can instantly detect the possibility of malware and intrusions before they begin. When implemented properly, AI can serve as the engine for security automation, freeing up employees' time and resources by automating repetitive tasks. This can help reduce the occurrence of human error by removing humans from a task or process.
Threat Detection and Prevention
Automated response
Machine Learning in Malware Detection
Natural Language Processing for security
AI-Powered Authentication
AI, like any other technology, has the potential to be used for positive or negative purposes. Some malicious actors may use AI tools originally intended to benefit society by carrying out fraudulent activities, scams, and other cybercrimes.
Cyber attacks optimization
Attackers now use generative AI and large language models to carry out advanced attacks at unprecedented speed and complexity. These tools can help them find new ways to exploit cloud complexity, leverage geopolitical tensions, and optimize ransomware and phishing attacks.
Automated malware
AI-powered tools like ChatGPT can write code and help developers, but they could also create malware. Researchers have found ways to bypass protections to develop sophisticated malware that can steal data, infect networks, and attack systems. Future AI-powered tools may allow even entry-level programmers to create advanced malicious bots with little human intervention.
Physical safety
As more systems such as autonomous vehicles, manufacturing and construction equipment, and medical systems use AI, risks of artificial intelligence to physical safety can increase. For example, an AI-based true self-driving car that suffers a cyber security breach could result in risks to the physical safety of its passengers. Similarly, the dataset for maintenance tools at a construction site could be manipulated by an attacker into creating hazardous conditions.
Risk of Data Collection
There are other possible privacy risks due to the vast amount of data that AI crunches. For example, a hacker who breaches an AI system could access different kinds of sensitive information.
An AI system designed for marketing, advertising, profiling, or surveillance could also threaten privacy in ways George Orwell couldn’t fathom. In some countries, AI-profiling technology is already helping states invade user privacy.
Furthermore, there are other risks of Artificial intelligence in cybersecurity stealing AI models, Data manipulation and data poisoning, impersonation, reputation damage and other more sophisticated attacks, as hackers can also use AI to automate phishing, malware, and credential-stuffing attacks. AI can also help attacks evade security systems like voice recognition software in adversarial attacks.
According to the Artificial Intelligence (AI) in Cyber Security Market 2022, this is a list of the top key players in AI in Cybersecurity.
BAE Systems
Cisco
Fortinet
FireEye
Check Point
IBM
RSA Security
Symantec
Juniper Network
Palo Alto Networks