Advantages of using AI in cybersecurity for business AI can reduce the cost of cybersecurity by automating many of the tasks traditionally performed by human analysts and IT security consultants or engineers. This means that organisations can save the working hours of computer experts by using AI solutions, and benefit from the effect that is equal to hiring large teams of cybersecurity experts.

Fraud Insight

The use of AI provides numerous advantages, including real-time threat detection, automatic response, scalability, cost-effectiveness, dark web monitoring, and insider threat monitoring. 

Detection of cyber threats in real-time

One of the most significant benefits of AI-managed cybersecurity applications is their ability to detect threats instantly. With the ever-evolving frequency and technical sophistication of cyber-attacks, it is essential to have a system that can keep up with trends, consider all previous experience, and detect plus respond to threats before they even arise and cause significant damage. 

AI has the necessary capacities to identify threats quickly, such as malware, phishing attacks, or unauthorized access, and take action to prevent them from causing any damage to your company.

Automatic response to cyber risks

Another advantage of AI in cybersecurity is its ability to respond automatically to threats, both known and yet unknown (predicted or hypothetical). By using AI to automate security processes, organisations can respond quickly and efficiently to various cyber threats coming from different directions.

AI allows companies to:

Minimise the impact of cyber-attacks and reaction time

Rebalance the workload on their security teams

Efficiently mine large amounts of security data and correlate information to generate reasonable cyber threat responses

Align the response with multiple factors: data coming from technical logs, globally collected insights, network traffic patterns, and other important observations.

Cost-efficient AI-based cybersecurity approach

AI can reduce the cost of cybersecurity by automating many of the tasks traditionally performed by human analysts and IT security consultants or engineers. This means that organisations can save the working hours of computer experts by using AI solutions, and benefit from the effect that is equal to hiring large teams of cybersecurity experts.

Dark Web monitoring strategy

The Dark Web is a hidden (underground) network of websites and services that are not accessible through traditional search engines or web browsers and is often used by cybercriminals to buy and sell stolen data, such as credit card information, login credentials, and other sensitive information. AI-supported monitoring of the Dark Web can be one of the critical components of cybersecurity that involves checking the dark web locations for mentions of an organisation’s name, employees, or data.

AI platforms can deeply delve into the Dark Web and apply natural language processing to analyse content regarding specific organizations or their employees.

If suspicious or sensitive content is detected, AI-powered software can immediately alert security teams to take appropriate action.

By monitoring the dark web, organisations can detect potential threats and data breaches before they become publicly disclosed or exploited by malicious agents. This allows cybersecurity administrators to take swift action to mitigate the impact of these threats and breaches, such as resetting passwords or notifying law enforcement bodies and/or affected customers.

Potential risks of AI in cybersecurity

Artificial intelligence systems are only as unbiased as the data they are trained on. If the data is somehow biased, then the AI system will generate biased results as well. This can lead to discriminatory outcomes in cybersecurity decision-making. 

Misinterpretation

Even the best AI systems out there are still prone to so-called AI hallucinations. That is why they can misinterpret certain information and make decisions based on false or incomplete data they were trained on. This can lead to incorrect threat assessments and potentially allow threats to go undetected, or otherwise increase the number of false positives, like blocking legit operations and kicking off authorised users.

Overreliance

While chasing after the lower costs of IT services, businesses and organisations may become too reliant on autonomous AI systems for cybersecurity, leading to complacency and a lack of human support or qualified oversight. 

This creates new vulnerabilities, making the organisation more susceptible to exotic cyber-attacks exploiting the loopholes found in AI-managed barriers (yes, cognitive computing still requires people nearby to provide efficient outcomes.– forbytes.com

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