Cyber attacks have been rampant since people started using technology as a day-to-day thing. Over time, all improvements in the domain of tech have made the case of cyberattacks worse as well. Therefore, it is totally unsurprising that AI-powered cyberattacks are on the rise.
Understanding AI-powered cyberattacks and staying safe from these threats is not an option anymore; it is a necessity. In this guide, we will talk about AI-powered cyberattacks and how you can deal with this rampant problem in the world of tech.
What Are AI-Powered Cyberattacks?
First, we must understand what the term AI-powered cyberattacks means. As you can guess, we are talking about cyberattacks that make use of Artificial Intelligence, Machine Learning, and a few other technologies under the same domain. However, there are a few ways in which we find AI involved in cyberattacks.
In essence, AI-powered cyberattacks use artificial intelligence to perform crucial aspects of these attacks. For instance, it may be used to identify potential vulnerabilities, to identify potential victims, or to make sure that cyberattacks become more intelligent over time. In other words, AI-powered cyberattacks are more efficient than conventional ones.
Therefore, AI-powered cyberattacks have some unique characteristics as well.
Customizability
As opposed to conventional attacks, AI-powered cyberattacks are customizable to the core. Because AI lets attackers handle vast amounts of data quickly, it can provide actionable insights. As a result, cyberattack campaigns become super-personalized and targeted. These methods are quite heavily used in phishing and other social engineering attacks.
More Data-centric
Data collection is an essential aspect of cyberattacks as it allows the attacker to strategize everything. Given that data breaches and leaks happen practically every day, AI models assist attackers in going through this data quickly and efficiently. Hence, people these days come across data-centric campaigns instead of mass-centric attack campaigns.
Self-Learning
Compared to conventional cyberattacks, AI-powered ones are more self-learning as well. That is, thanks to reinforcement learning, these algorithms can let the attacker know which techniques work best and which do not. Because these insights are built into the system, campaigns are able to improve themselves over time. At the same time, these AI systems can also help the attacker avoid potential detection systems.
Automation
Automation is not necessarily a feature that AI brought into the scene. However, because a lot of AI engines and AI-powered tools are available to threat actors, they are able to automate a variety of cyberattacks at frequent intervals. Even though systems like DDoS and phishing protection work, the sheer frequency of these campaigns can increase the number of victims by a long shot.
Types of AI-Powered Attacks
Threat actors these days use AI for a wide variety of attacks. It is borderline impossible to list all the types of AI-powered attacks because AI is being used in most attacks in one way or another. However, here are the most common ways AI is involved in the deployment and development of cyberattacks.
Phishing
AI-driven phishing attacks are probably the most common type of cyberattack that uses AI at its core. Since phishing works by making the victim believe that they are getting an actual email from a trusted source, AI can do wonders here. First, it makes sure that the emails that are sent resemble the original one as much as possible. Second, it uses a lot of scraped data to make sure that the attack is super customizable.
Deepfakes
Often used alongside other social engineering attacks, deepfakes are also making their way into the world of cyberattacks powered by artificial intelligence. Deepfakes are basically videos, images, or even audio files that are designed to fool people into believing that they are original. So they can be used to spread fake news or even publicize products that claim to be from reputed brands or people.
Poisoning AI Models
Some threat actors are also known for poisoning AI models that people use. Because people rely on AI models quite a lot, influencing the response of an AI model can lead to multiple scenarios. For instance, you can train an AI model to recommend a particular product or provide wrong information about a specific product, allowing the threat actor to lead the victim into something worse.
Social Engineering Attacks
Social engineering attacks work by using technology to manipulate human decisions, such as transferring some amount to another person, granting access to some secure systems, accessing applications, or giving access to a particular device. Here, AI makes a massive difference because it allows the threat actor to collect various information about the victim and develop a realistic attack campaign.
How Can AI Help Prevent Cyberattacks
Despite what AI has done in the world of cyberattacks, the power of AI can help you prevent cyberattacks as well. Here are a few ways the cybersecurity space is using AI to turn things for the better.
Threat Detection
As you know, Artificial Intelligence works great for detecting patterns. Relying on this power, security tools and systems use AI for continuous threat monitoring and reporting. For instance, you can have fast-paced notifications or alerts if and when unusual patterns are detected.
Learning from the Past
Since AI can handle a lot of data at a time, it can intelligently learn from past mistakes. You also find it more convenient to let an AI engine go through security logs and detect patterns. In addition to being accurate in terms of detection, AI-powered security systems save time that experts can spend on other aspects.
Threat Recognition
Whereas threat actors may use AI to create genuine-looking emails for phishing attacks, AI on the right side can help users detect phishing attacks and other fraudulent elements on webpages. In doing so, AI-powered cybersecurity systems make it easy for users to detect potential threats before they do something bad.
In addition, more cybersecurity domains are experimenting with AI to create safer spaces on the web and elsewhere.
Top AI-Powered Cybersecurity Tools
Here are the top AI-powered cybersecurity tools being used today.
Nuanced Endpoint Security Systems
Endpoint security systems powered by artificial intelligence are designed to offer 360-degree protection for endpoint devices such as computers and smartphones. The idea is to detect and prevent threats such as malware, ransomware, etc.
Next-Generation Firewall Systems
Network firewalls are also using artificial intelligence to make sure that nothing is missed when it comes to intrusion detection and threat protection. Because they are nuanced and easy to use, these new-generation firewalls enable application-level control while protecting the network from a lot of threats.
Network Detection & Response Systems
As mentioned earlier, artificial intelligence is crucial when it comes to detecting issues within a network and making sure that the response is quick. Therefore, network detection and response solutions also use AI to continuously monitor system traffic and send notifications right away whenever there is an issue.
In addition to these, many security and event management systems and cloud security solutions also use AI quite proactively. These systems are improved in terms of speed and efficiency by a long shot.
Wrapping Up
As you can see, Artificial Intelligence is a dual-edged sword in the domain of cybersecurity, as it is elsewhere. As threat actors continue to find more ways to use AI to enable attacks, security experts are finding better solutions as well. So as long as you are using an AI-first security system, you won’t have anything to worry about.
