The Impact of AI on Cybersecurity

The Impact of AI on Cybersecurity: Pros & Cons

Continuous cybercrimes are causing organizations to tighten their security measures for better protection against online threats/ cyber attacks. For the automation of fast response against online threats, we can use AI which is basically an artificial human brain to issue orders to the machine for taking charge of predecided tasks.

Moreover, AI can help reach the goal faster even when the actual users won’t be online. This leaves us with much time to react to the unwanted data breaches. You will learn a lot about AI in this article which will indirectly help you to make quick decisions for installing AI in your workspace. Without wasting any minute, let’s get into the topic!

Advantages of AI in Cybersecurity

  1. Threat Detection and Response

AI is much faster than us in reacting to an unusual activity happening over an app/ website. This can help us to detect the issue in the systems faster than usual.

Systems that are AI-enabled can support observing networks, endpoints, and other resources to find out any suspicious activity, patterns, and indicators of the breach.

Additionally, the technology can automate threat response procedures like

  1. Isolating Infected Devices,
  2. Blocking Malicious Traffic, and
  3. Initiating Incident Response Procedures.
  4. Risk Management

Scanning huge amounts of data can find vulnerabilities with the help of AI to run the systems, and networks in better condition while reducing the risks of confronting any cyberattack.

Security teams may proactively lower risks before they become significant by employing technology to spot trends, patterns, and other insights that human analysts would overlook.

  1. Enhancing Compliance

AI can assist businesses in meeting a range of legal and regulatory requirements, including

  1. GDPR,
  2. HIPAA, and
  3. PCI-DSS.

Security systems with AI capabilities can detect possible infractions, automate compliance monitoring, and produce reports that adhere to legal requirements.

Disadvantages of AI in Cybersecurity

  1. False Positives

The possibility of false positives is among AI’s biggest drawbacks in cybersecurity.

Security systems driven by AI rely on machine learning algorithms that acquire knowledge from past data. However, when the algorithm comes across novel, unidentified threats that don’t fit into preexisting patterns, this could result in false positives.

Alert fatigue is a condition when security teams are overloaded with false alarms and may fail to notice real threats as a result of false positives.

  1. Cybersecurity Skills Gap

The present skills gap in the cybersecurity industry is another drawback of artificial intelligence. Security solutions driven by AI need to be developed, implemented, and managed by qualified experts.

But right now, there is a dearth of experts in cybersecurity who possess the knowledge and expertise needed to use AI.

  1. Cost

It can be costly to implement AI-powered security systems, particularly for smaller businesses with tighter budgets.

Specialized hardware, software, and qualified personnel are needed to create and maintain the systems using this technology.

  1. Hackers use AI

AI can be used by hackers to create more sophisticated assaults and avoid being discovered by AI-based security systems.

Similar to this, although neural fuzzing can be useful in locating vulnerabilities, hackers can also utilize it to learn more about a target system’s flaws.

Businesses must carefully assess the benefits of AI in cybersecurity against the associated costs and risks, as well as its advantages and disadvantages.

In order to provide a layered defense against changing threats, using AI-powered security systems necessitates a complete security strategy that incorporates other technologies and human knowledge.



even though AI holds great promise for the cybersecurity industry, enterprises still need to be cautious in their approach to cybersecurity since it cannot solve every security issue.

About The Author

Suraj Koli is a content specialist with expertise in Cybersecurity and B2B Domains. He has provided his skills for News4Hackers Blog and Craw Security. Moreover, he has written content for various sectors Business, Law, Food & Beverage, Entertainment, and many others. Koli established his center of the field in a very amazing scenario. Simply said, he started his career selling products, where he enhanced his skills in understanding the product and the point of view of clients from the customer’s perspective, which simplified his journey in the long run. It makes him an interesting personality among other writers. Currently, he is a regular writer at Craw Security.


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