The impact of AI on cybersecurity continues to be a topic of discussion in the information security industry. Cyber threats are growing rapidly. In part, the attack surface of cybercriminals is huge and it continues to grow and develop at lightning speed. Every year billions of cyber-attacks are launched with a variety of motives and new threats are tested with more sophisticated strategies or methods to bypass existing security systems.
Experts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cyber security. AI algorithms learn how to respond to various scenarios using training data. They learn by copying and pasting additional information as they go. This article reviews the positive and negative effects of AI on cybersecurity.
AI and cybersecurity
Cyber security is one of the many uses of artificial intelligence. Norton's report shows that the global cost of recovering a common data breach is $ 3.86 million. The report indicates that companies need an average of 196 days to recover from any data breach. For this reason, companies need to invest more in AI to avoid wasting time and financial losses.
AI, machine learning and threat intelligence can identify patterns in data that security systems can learn from past experience. In addition, AI and machine learning allow companies to reduce response time to events and adhere to best practices of security.
Artificial Intelligence Applications in Cyber Security
Vulnerability management
Currently, security solutions are waiting for vulnerabilities in IT infrastructure and will act on them depending on its nature. This approach is different from AI and ML-enabled tools. AI-based systems are active in detecting vulnerabilities. They can analyze the pattern and find loose ends that could cause potential fragility.
Improving authentication
Most companies and individuals still rely on the traditional method of entering a login ID and password for authentication purposes. We find that there are very few people who can create a unique and strong password. Moreover, many people use the same password for all or most of their accounts. Such practices can lead to serious security risks to organizations or individuals.
Behavioral analysis
Another great advantage of Artificial Intelligence in cybersecurity is its behavioral analysis capability. AI can develop a model by accessing the working methods of users. If any malware is introduced into the system, the working procedure will change and the AI will detect the abnormality and report it to the authorities.
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Controlling Phishing
Phishing is one of the most common cyber-attacks used by hackers to extract login credentials or to inject malware into a system. Artificial intelligence can be a great help in detecting and preventing phishing attacks.
AI can identify the most common phishing sources and report them to the system to prepare for protection. AI can easily tell the difference between a fake and a legitimate website at any time. It can also analyze the fishing pattern according to the specific geographical location.
Threat Hunting
As already mentioned, traditional security programs use signature indicators to identify threats. This technique is only effective with attacks already encountered and becomes useless when reporting threats that never appear. Using AI, new threats can be detected quickly. However, with it, false-positive cases also increase. To eliminate the number of false-positives, both are conventional
How can AI help improve your cybersecurity?
AI is going to play a key role in improving cybersecurity for large and small businesses. AI is already being used by many businesses around the world to strengthen their cybersecurity efforts, however, we can expect the introduction of AI and ML to become more mainstream in both commercial and personal cybersecurity software solutions.
AI is already helping businesses identify and neutralize cybersecurity threats, helping businesses stay on top of the ever-evolving cybersecurity space.
AI learns by consuming billions of data from structured and structured sources. That data is processed quickly using machine learning and deep learning techniques and AI improves its knowledge, helping software to understand cybersecurity threats and risks.
Because AI has the power to analyze billions of data files, the learning curve is steep. AI software can use insights stored in billions of pieces of data and use logic to identify any links between malicious files, suspicious IP addresses, and threats of abnormal activity on the network.
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Use of AI by adversaries
AI and machine learning (ML) can be used by IT security professionals to implement better cybersecurity practices and to minimize attack surfaces instead of constantly pursuing malicious activities. At the same time, state-sponsored attackers, criminal cyber-gangs and ideological hackers can use the same AI methods to thwart and hide the defense.
As AI matures and moves more into cybersecurity space, companies need to protect themselves from the potential disadvantages of this exciting technology:
Machine learning and artificial intelligence can help protect against cyber-attacks, but hackers can thwart security algorithms by targeting the data they train and the warning flags they are looking for.
Hackers can also use AI to develop a mutating malware that modifies its structure to prevent it from cracking and detecting the defense.
Without large volumes of data and events, AI systems can produce inaccurate results and false positives
If data manipulation is not detected, organizations will struggle to recover the correct data that feeds its AI systems, with devastating consequences.
The end
Artificial intelligence development company in Frisco, AI has emerged as a technology needed to enhance the efforts of human information security teams. Since humans can no longer scale to adequately protect a dynamic enterprise attack surface, AI provides much needed analysis and threat identification that can be acted upon by cybersecurity experts to reduce the risk of breach and improve security posture. In security, AI can detect and prioritize risk, instantly detect any malware on the network, guide incident response and detect intrusions before initiating.
AI allows cybersecurity teams to form powerful human-machine partnerships that push the boundaries of our knowledge, enrich our lives, and make cybersecurity seem more than the sum of its components.
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