How can AI prevent the next ransomware attack
Are you aware that every day someone is using ChatGPT to identify flaws and create new methods to infiltrate networks and computer systems? If not, accept the harsh reality. Even Microsoft itself (which bought OpenAI, the company that developed ChatGPT) released a tool that uses technology to identify vulnerabilities in systems.
The fact is, cybersecurity has become a vital aspect of any organization dealing with sensitive data. The good news is that Artificial Intelligence (AI) can help improve (a lot) cybersecurity measures. In this article, we’re going to talk about the many ways that AI can be used to improve the level of cyber resiliency in your operation.
Scenario
Cybersecurity is a critical concern for businesses and individuals alike, a field that continually evolves as new threats and attack methods are developed. But cyberattacks, which can lead to the loss of confidential information, financial losses and even damage to brand reputation, are facing teams with an increasingly effective arsenal of defense technologies. One of these technologies that can be used to improve cybersecurity is exactly Artificial Intelligence.
In recent months, the debate about the advancement (and eventual pause) of research around Artificial Intelligence has made a lot of noise in the media. But after all, how much of this is true, how much is speculation and how much is a flash in the pan? The fact is that, with each passing day, the use of AI becomes more present and evident in our lives. As the theme becomes widespread and is gradually being demystified by the general public, the understanding of its possible uses also becomes more evident in our daily lives, moving from the status of legend to bar talk.
Do you know the ChatGPT guy?
Who never heard that someone used ChatGPT to help with some task and said that it saved a lot of time with it? I use it a lot myself and can assure you that it’s only as good as the user behind the keyboard. Without the proper commands, it will deliver an excellent generic summary on almost any subject.
ChatGPT is like the beloved droid C3PO from the Star Wars universe: despite (consistently) claiming to be able to communicate in over six million languages, it is completely superficial and bland if not given an extremely precise set of instructions. Of course, he has his moments of glory, but most of the time, he solves the basics and serves as comic relief when delivering some jokes. That’s not to say that it doesn’t work very well, quite the contrary, it’s an amazing tool. As amazing as the mind of the person controlling all that potential.
Risks for Organizations
This same scenario occurs in several areas of the world economy, with new applications emerging every day. Many of these applications revolve around predictive models, statistical analysis and pattern identification, tasks where current models of artificial intelligence algorithms are extremely effective, especially when combined with great processing power. Others, however, use the same types of software and hardware for applications that are somewhat heterodox, to say the least, and that is exactly where the problem lies.
The big issue is that the same set of tools can be used to carry out different types of identifications, analyzes and evaluations. Whether it’s structural vulnerabilities in welds on ship hulls (based on data from sensors and physical scanners) or structural flaws in an organization’s cyber defense perimeter (based on data from sensors and attack surface scanners), the situation is very It’s simple: a butter knife can be used for breakfast or a crime, and it’s still EXACTLY the same knife.
How can AI help my operation?
The term “Artificial Intelligence” refers to the ability of machines to perform tasks that usually require human intelligence, including visual perception, decision making, speech recognition and language translation. With advances in technology, AI has become more sophisticated, leading to the creation of intelligent machines that can learn and adapt to new situations. For example,a AI can improve the level of cybersecurity by automating threat detection and response, predicting potential threats, and detecting anomalies in user behavior.
With this, advances in the area can mean more efficient teams against risks and threats, solving problems in a fraction of the time normally used. One of the possible applications that is proving invaluable is the use of AI in cybersecurity, where it has become an essential tool. It has enabled the creation of intelligent systems that can detect and prevent cyberattacks much faster than human teams, due to an almost instantaneous reaction time. Below are some of the ways AI is being used in cybersecurity:
1. Threat Detection and Prevention
AI can be used to monitor networks and detect anomalies or suspicious behavior. By analyzing large amounts of data, AI systems can identify potential threats and alert security personnel to take action. Additionally, AI can be used to predict potential attacks based on historical data and patterns.
2. User Behavior Analysis
AI can be used to analyze user behavior and detect any anomalies that might suggest unauthorized access. By analyzing user patterns, AI systems can identify potential threats and alert security personnel to take action.
3. Real-time response
AI can help organizations respond to cybersecurity incidents in real time. By automating responses to attacks, organizations can reduce the time it takes to detect and respond to security incidents.
4. Predictive analytics
AI can be used to predict future cyberattacks based on historical data and patterns. By analyzing large amounts of data, AI systems can identify potential threats before they occur, allowing organizations to take proactive steps to prevent them.
5. Password protection
AI can be used to enhance password protection by analyzing user behavior and detecting any unusual patternsthat might suggest a breach in the usual processes. By identifying potential password breaches, AI systems can alert users to take action, such as changing their passwords.
6. Fraud Detection
AI can be used to detect fraudulent activities such as credit card fraud, identity theft and money laundering. By analyzing large amounts of data, AI systems can identify patterns that could suggest fraudulent activity and alert security personnel to take action.
7. Malware detection
AI can be used to detect malware, viruses and other malicious software, analyzing data in real time and detecting patterns that suggest the presence of malicious software.By analyzing real-time data, AI systems can detect malware and alert security personnel to take action to prevent further damage.
Conclusion
New Artificial Intelligence technologies are here to stay, and to change our civilization at unprecedented speed, but most organizations still haven’t realized how it affects the safety and maintenance of their operations.
Artificial Intelligence has become an essential tool to enhance the level of cybersecurity in an organization. By automating threat detection and response, AI systems can help organizations respond to cybersecurity incidents in real time, reducing the time it takes to detect and respond to security incidents. AI can also be used to predict potential threats and prevent them from occurring.
In a world where, every second, new vulnerabilities, forms of attacks and malicious software appear, AI must become more than a novelty or something distant, it must be adopted as an excellent ally of security teams, by guaranteeing adequate levels of resilience in the face of threats that use the same tools, and give these teams a decent chance to fight cybercrime. If malicious actors around the world use technology to automate attack routines and intelligence in finding their targets, security teams mustfight the fire with fire.
