The future of cybersecurity with AI-powered solutions is full of amazing benefits and dangerous cybersecurity threats, so it is best to realise that the future in this space will be complex. While there is no doubt that the evolving nature of tech brings about many security benefits for businesses, it also gives cyber threat actors much more power to advance their attacks.
Modern security solutions usually implement AI (Artificial Intelligence) and ML (Machine Learning) solutions. Some expected benefits include an improved threat detection and response system and the potential to go through big data sets more easily and quickly.
In this guide, we will look at some other applications of AI in cybersecurity while also taking a deeper look into how cyber threat actors use the tech advancements in AI with malicious intent.
What is the future of cybersecurity with AI?
AI has the potential to revolutionise the future of cyber security with its applications of process automation, advanced data analytics and effectiveness. Cyber defence systems in modern businesses are no longer a one-person job since several threat actors exist in every environment. Moreover, with the advances in big data, it is essential to have AI-powered tools to work through the incoming data and manage it effectively.
Another thing about AI is that it can limit human interference in time-consuming cyber security tasks, whether by filtering out potential false positives or launching an automated cybersecurity strategy during a cyber attack. This makes AI a potent tool for tackling modern cybersecurity attacks. Therefore, firms that plan to stay one step ahead of cyber criminals and make their defences more effective must watch these AI advancements closely.
Here are some ways AI can enhance cybersecurity applications for modern businesses:
It is essential to ensure that a business’s customer base is always protected from cyber criminals. To do that effectively, consider endpoint security for devices like laptops, phones and computers. When we incorporate AI into endpoint security, the solutions can pick out malware more effectively from infected systems.
It is also possible to ensure your devices are always protected with the real-time 24/7 monitoring potential of AI tools and take action against any attackers by launching a counter strategy.
With AI solutions, upgrading your cybersecurity systems with intelligent process automation can free your security team’s time and allow them to focus on more critical tasks. You can automate entire processes with AI models, from analysing the threat landscape to detecting potential threats and even taking actions to safeguard your cyber defence systems.
This type of automation is compelling because it allows businesses to scale their operations and save time while ensuring their customer base and data transfers are always secure. When companies can stay one step ahead of potential threat actors, it reduces the chances of data breaches and other cyber attacks.
Threat Detection and Incident Response
AI tools are very powerful at picking on any suspicious activity or changes in a user’s usual activity patterns, which helps them zero down on potential threats and alert the security team immediately. This powerful system of threat detection and faster response time can improve the efficiency of a business’s cybersecurity system. Modern cybersecurity tools can use AI to launch automated response procedures that help a business stay safe during a cyber attack,
Some threats, like modern phishing attacks and zero-day attacks, can go undetected by traditional systems that are only helmed by security teams using basic tools. With the rising range of power available to cyber criminals, AI-powered cybersecurity is no longer a perk. It is a necessity.
Authentication and Verification
Most companies host a plethora of sensitive consumer data that must be protected from third-party sources, especially from any individual with malicious intent. To do this effectively, the data is not made accessible to everyone, and this is ensured by using advanced authentication and verification measures. We can often put such measures in place when we log in to web and mobile applications.
With AI-powered authentication, there is a reduced risk of unauthorised access to user data since the AI tools can effectively establish a user’s identity by the company’s behaviour patterns to previous patterns. This can include data on biometric measures like facial recognition, making it much more difficult for threat actors to access the protected data.
Predictive data analytics
Predictive analytics helps security teams ascertain the likelihood of specific attacks so that responsive measures can be planned and deployed in time. While traditional tools in this space have worked effectively until now, AI intervention makes their forecasts much more accurate.
Modern machine learning models can consider data from several different patterns simultaneously and provide a list of all system vulnerabilities, along with steps to mitigate them in due time.
Improved Network Security
The correct type of network security protects a company’s infrastructure. As a result, there is a reduced risk of data breaches and cyber attacks on the cloud architecture, company network and data transfers.
With AI integration, cybersecurity experts can take network security one step forward by making it a lot more effective and powerful. For example, these modern tools can do an in-depth analysis of network traffic and pick out any patterns that do not match up. Such traffic patterns can signal upcoming DDoS (distributed denial-of-service) attacks, so identifying and blocking them on time is important.
Additionally, AI-powered network security tools can identify unauthorised threat actors’ access attempts and identify cyber defence system weaknesses.
How are cyber threat actors using artificial intelligence?
We have discussed how AI integration skyrockets cybersecurity solutions’ effectiveness and success rates. However, the reality of the situation also includes another aspect filled with disadvantages of AI in cybersecurity. Cybercriminals are already starting to pick on the advancements in AI and use them to develop advanced cyber threats that can quickly render traditional solutions obsolete.
Here is a detailed look into how cyber threat actors use artificial intelligence, including creating advanced malware and automated cyber-attacks.
Social engineering attacks
Modern AI is notable in its ability to emulate human behaviour patterns, making it a deadly tool for social engineering attacks and creating convincing pieces of disinformation. For example, cybercriminals can ask to use AI-powered data analytics tools to develop an effective phishing or spear phishing attack that gathers personal information to target victims directly.
There are also instances of Generative AI-powered voice generation tools used to perpetuate vishing attacks or tools like deep fake image generation used to harass victims and create improper graphics.
Automated cyber attacks
Another use of artificial intelligence and machine learning models often exploited by cybercriminals is the power of automation. This can be used to carry out large-scale attacks like DDoS cyber attacks, which can overload a network by targeting it from multiple systems.
In using modern AI tools’ advanced text generation abilities, cybercriminals can automate the publication of fake news and other disinformation across web pages, blogs and social media platforms. These attacks on public opinion are deadly during political or financial angst and can create an echo chamber effect that takes a long time to repair and can cause additional panic.
Cybercriminals can also integrate AI into modern malware to make it powerful enough to overpower traditional security systems. This new generation of malware can adapt to its environment and cause maximum damage while evading detection.
Do cybersecurity students need to study AI?
Cybersecurity students must study AI, data science and machine learning and develop a comprehensive understanding of all three subjects, given their influence on cybersecurity operations, threats and defence strategies. Since the new generation of cyber crime will largely be powered by AI, developing the skill set to deal with them on multiple ends is essential. Some common cyber security solutions already using AI models include endpoint protection, network security, threat detection and response.
If you are starting as a cybersecurity student, you need to embrace how important the understanding of AI solutions is for modern recruiters. If you study AI, your future employer may depend on you for cybersecurity protection. It will also showcase your willingness to learn and upskill, giving you an automatic competitive advantage over other candidates.
Whether you are trying to learn about AI or cybersecurity, investing your time in a reputable course that can give you the correct skill set and help you break into the industry is essential. The Institute of Data offers cybersecurity, data science and AI courses that can help you learn all the relevant skills and get you job ready in just six months!
AI is the answer to the growing cyber threat risks. The entire cybersecurity industry can change with the combined power of security principles with AI models. The challenge with the rising amount of potential risks and the advancements in tech makes it necessary for businesses to stay one step ahead of their competition and cyber criminals by implementing updated AI solutions.
It is essential to leave the primary decisions of how AI should integrate with the company’s application and network security into the hands of someone who has experience with both fields and can make informed decisions. To learn more about how to establish yourself as an industry expert in cybersecurity and artificial intelligence, schedule a career consultation with one of our experts and get the right plan to help you excel with actionable insights!