How AI Can Detect and Prevent Cyber Threats
Cybersecurity has become a growing concern around the world as more criminals learn how to use the internet and programming languages to create new, complex cyber threats to deceive victims. Cyber attacks, data breaches, phishing scams, and ransomware are all being used by criminals to extort large sums of money and personal information in increasingly sophisticated ways.
Fortunately, artificial intelligence (AI) has turned into an advanced tool in the fight against cybercrime, helping IT teams detect, prevent, and thwart cyber threats before they cause damage. So, how is AI being used to detect cyber threats?
The Landscape of Cyber Threats
Following the digital revolution, cyber threats have evolved in many ways to become more dangerous and harder to detect. These digital threats don’t just attack private individuals anymore either, sophisticated programs are targeting entire corporations and companies now too, posing an even larger threat to businesses. They include:
Malware: A broad term for the various viruses, worms, and trojan attacks that can infect computers. Their purpose is to damage or disrupt systems to gain unauthorized access.
Ransomware: A particular form of malware that encrypts a victim's files and only grants access to the data after receiving payment.
Phishing: A deceptive website or email that tricks users into handing over their private information that can be used to extort further resources from a victim.
Man-in-the-middle Attacks: An attacker will secretly intercept messages and relay communication.
Distributed Denial of Service: An attack that overloads a system’s resources with superfluous requests, causing it to crash and become unusable.
SQL Injection: When an attacker exploits vulnerabilities in a website’s database, granting them access to view, modify, or delete data.
Zero-Day Exploit: Attackers will exploit software programs when they are first released, infiltrating systems and databases before necessary updates are ready.
Understanding AI and Machine Learning
AI, unlike traditional software, has the power to quickly identify and thwart cyber threats using machine learning because it can be trained to analyze patterns and detect anomalies. Neural networks can take this process a step further, analyzing input data to detect even more sophisticated forms of malware.
As these processes become more routine, deep learning models can create smarter algorithms that are adept at finding new, evolving cyber security threats. These AI models are creating a boon for cybersecurity firms that are developing advanced systems to detect the latest cyber threats.
How AI Enhances Cybersecurity
Without AI, traditional cybersecurity measures have a difficult time staying up-to-date with increasingly advanced cyber threats. However, the advent of AI is creating many exciting benefits for cybersecurity firms to deploy including:
Automated Threat Detection: With countless amounts of new digital devices going online every day, there is too much real-time information for cybersecurity firms to monitor manually. AI systems can avoid this problem by automating themselves to detect security breaches and other anomalies faster than humans.
Predictive Analysis: AI can use data analysis to predict where cyberattacks are most likely to occur. This information can help prevent breaches and help businesses reinforce vulnerabilities that they may not know about.
Phishing Detection: AI enhances phishing detection by analyzing all the different aspects of a message, link, or email, using its training data and experience to flag suspicious content.
Incident Response: In the event of a malicious attack, AI can respond quickly, shutting down traffic to a certain IP Address, isolating affected systems, and initiating backup protocols.
Challenges and Limitations
While AI is a powerful asset in the fight against digital crime, it is still not perfect. Cyber threats are constantly evolving and are difficult for AI systems to keep up with if they are not updated routinely with new information.
Moreover, AI itself can also be used to power cyberattacks, making them equally adept at avoiding detection. This can be especially harmful with the rise of deep fake technology that is being used to scam and trick people by capturing their voice and likeness to cause harm.
The Future of AI in Cybersecurity
One of AI’s biggest potentials is its ability to detect and prevent cybercrime before it happens. Predictive analytics pose a powerful solution to patching vulnerabilities before hackers can identify them, keeping private information safe for users. This has a major impact on certain industries like finance which are consistently subject to phishing malware.
