Cybersecurity is an essential aspect of modern life, with data breaches and cyber-attacks becoming increasingly common. As reliance on technology grows, organizations, governments, and other stakeholders are increasingly concerned with having robust cybersecurity policies in place. However, traditional cybersecurity measures may no longer be sufficient as attackers develop more sophisticated ways of breaking into systems. That is where Artificial Intelligence (AI) comes in. To ensure better security for critical infrastructure and sensitive information, AI and cybersecurity must work together.
Here are five ways to make AI and cybersecurity work together more effectively:
- Use AI to Build Cybersecurity Models Building secure and frictionless machine learning pipelines is the first step in establishing a robust cybersecurity system. AI-based models are only as good as the data on which they are trained. To build effective AI models, security teams need access to large amounts of high-quality data. Although many organizations are hesitant to share data due to concerns about privacy and security, with the right tools and protocols in place, data can be shared securely to train AI models that can detect and prevent similar attacks in the future.
- Use AI to Monitor and Respond to Threats AI technologies can improve security by monitoring and responding to threats in real-time. AI can detect and respond to cyber-attacks as they happen, reducing the time it takes to detect and respond to threats or ransomware attacks, ultimately improving overall cybersecurity posture. AI needs access to data from various sources, including network traffic, system logs, and user activity, to identify patterns that may indicate an attack. Once an attack has been detected, AI can take action to mitigate the threat.
- Predict Threat Exposure Many hackers stay ahead of cybersecurity trends to find new ways to exploit systems. AI can identify these trends and predict future attacks by creating models that prioritize threat exposure and help understand which areas of an organization are most at risk. This way, steps can be taken to mitigate risks before they result in an attack.
- Penetration Testing and Security Audits Penetration testing is the process of trying to break into a system to test its security. AI can automate this process by identifying vulnerabilities in systems and generating exploit code to take advantage of these vulnerabilities. Security audits are another area where AI can be useful, automatically auditing systems and identifying potential security issues. For example, AI can be used in smart contract audits to identify vulnerabilities that may be exploited, making the process of security auditing more efficient and accurate.
- Predict Risk and Manage it AI can predict the risks of cyber-attacks and identify the factors that make an organization more likely to be attacked. By studying past attacks and identifying patterns, a risk profile for an organization can be created, prioritizing security efforts and focusing on the most at-risk areas. AI systems can filter through a large amount of data to find the tiny details that make all the difference in predicting when, where, and how a cyber-attack will happen.
In conclusion, AI can play a vital role in improving overall cybersecurity posture by using AI tools to build models, monitor and respond to threats, and automate penetration testing and security audits. Virtual Cyber Assistant service can help businesses embrace AI technologies and improve cybersecurity posture over time by providing access to cybersecurity expertise of seasoned professionals at a highly cost-effective, unique, and flexible service.