Cybersecurity trends in 2024

Sentinels of the Cyber World: AI's Unseen Battles in the Latest Cybersecurity Trends

By Nivin Biswas Category Artificial Intelligence Reading time 4.49 mins Published on Apr 02, 2024

Unfolding the Cybersecurity Threats: Identifying the Unrecognised Risk!

Cyber crimes have grown a lot in the last few years. Online transaction frauds and vital data thefts have become permanent columns in the daily news media. The world is thriving towards more complex and advanced technologies. Nowadays, industries are relying more on tech-oriented and digital technologies, and maintaining proper security measures has become an integral part of the business.

The booming AI industry helps detect and respond to cybersecurity threats looming in the systems. However, new types of attacks keep occurring as hackers utilize AI to break into the system. Using artificial intelligence in cybersecurity helps maintain proper and updated security practices in place for any attacks.

The surrounding environment has become more tech-dependent on artificial intelligence, mobile phones, machine learning, and the Internet of Things. So every industry now needs experts for their data securities.

Here, we will look into some of these unseen battles in AI security to combat online defence systems.

Evolution of cybersecurity threats

There has been a continuous battle between online security and attackers. Primarily, the attackers focused on targeting computers. Now, they have changed their tactics and techniques significantly to combat the newer systems.

  • Digital attackers these days use advanced technology. They use the online network to target sensitive data and financial assets. The boost in attacking technology is a major factor in the evolution of cybersecurity threats.
  • Online hackers continue to refine their tools using advanced techniques. They can easily exploit flaws in networks and software if you’re not careful. One example is getting access to sensitive information. Hackers attack weak software, wrongly build systems, and individuals to get access.
  • The invention of sentinel technologies such as blockchain, artificial intelligence (AI), cloud computing, and the Internet of Things has created new attacking areas and exposures. Hackers may attack weak IoT systems, damage cloud-based security, target crypto, and modify AI algorithms.

So, companies and individual users need to be careful while working with new systems. The companies must adapt to the fresh and updated security measures accordingly. Measures like solid rules, constant software updates, training people, and strong response teams can help.

An image shows a man pointing towards cybersecurity lock.

Challenges for Artificial Intelligence in Cybersecurity

The following are some modern attacking areas that threat actors in cybersecurity, such as hackers, can exploit through AI.

1. Phishing

Hackers use various tools and chatbots like ChatGPT. They can generate phishing emails using chatbots to make them look real. They can also use ML algorithms to enhance phishing attacks and create emails that are tough to detect, even by using artificial intelligence in cybersecurity.

For example, DeepPhish is a tool that uses deep learning and AI to develop real-looking, custom messages and emails for online phishing. It can work with huge data sets, allowing it to create real-like messages or emails. It can also adapt according to the target’s behaviour and response.

2. Malware

AI-powered malware can adapt and evolve to changing systems. This makes the malware tough to be detected by security experts. Using fuzzy models, malware can learn from its surroundings and update itself to better variants.

The malware can easily infect sensitive and weak systems without being observed. The following are some AI methods that the malware can use.

  • Creating malware codes that can’t be detected
  • Capturing validation features that mobile devices apply
  • Attacking defensive AI
  • Evading traffic detection

BlackMamba is a malware that uses AI to change harmless codes at runtime. It helps the malware pass through automated security without being detected.

3. Deepfakes

One of the prominent cybersecurity threats we’ve seen recently is deepfakes. AI-powered deepfakes can generate a realistic-looking image, audio, or video that is fake in real life. It uses AI algorithms to create wrong data, fraud, social attacks, and blackmail.

Hackers can utilize deepfakes with malicious intent, increasing the worries of experts. In most cases, they can mimic any person, powerful people, to carry out fraud at a high level. For example, company execs can get a fake call from fraud channels, mimicking their CEOs. This may lead to data theft or financial loss.

An image shows a man pointing towards cybersecurity lock.

Why does it matters?

Cyberattacks can be for a number of reasons, like political involvement, data theft, targeting competitors, or financial profit. It becomes extremely vital for companies to be knowledgeable of such threats and take the right actions.

Whether an individual or a business, one must know the artificial intelligence in cybersecurity opportunities and risks. They must learn basic prevention factors related to such attacks. The attacks can possibly become more powerful in the future. You must be aware of the modern tech landscape and threats looming in fields.

You can seek advice from experts for safe practices. In addition, they can help you equip yourself with defense systems. Discussing with others and staying updated on the latest threats is a good habit.


The prominence of artificial intelligence in cybersecurity is surely a good thing. However, there are also some drawbacks that it brings. Cybersecurity threats are an increasing concern. They might continue to evolve further with evolving sentinel technologies.

One must understand the unseen battles in AI security in this new cyber landscape. Machine learning, AI, and automation come in handy. You can study and practice them through live artificial intelligence in cybersecurity applications in online data science courses.

The advanced data science and AI program offers expert training in online live classes. Learners gain advanced knowledge of relevant concepts through experts. You can practice the concepts in offline city centers in Hyderabad, Pune, and more. The course offers certifications through IBM and Microsoft that are useful during placements.

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Frequently Asked Questions

1. How does cybersecurity utilize AI?

Ans. Artificial intelligence in cybersecurity aids by finding defects in security. It assists in the fight against digital crime through advanced systems.

2. Is AI valuable to cybersecurity?

Ans. AI improves threat detection in a system by using complex ML algorithms. It can assess huge data sets in real-time. The algorithms can locate threats by finding patterns and anomalies. Through AI, companies can rapidly detect and react to cyber threats.

3. What is the present role of artificial intelligence in cybersecurity?

Ans. AI helps identify cybersecurity threats. It aids security experts by identifying advanced patterns in data. Experts can take action and enable autonomous mitigation using AI.

Ans. Some increasingly popular AI trends in industries are:

  • Democratization
  • Multimodality
  • Generative AI
  • AI in the workplace
  • AI ethics
  • Personalization