A new survey from Cylance stated that a third of enterprises use artificial intelligence (AI) to detect cyber threats, but less than five percent of security professionals consider AI a reliable approach to protecting their systems.
Cyber security is one of the most exciting and dynamic fields in the tech world. Companies and governments around the world are constantly looking for new ways to improve their cyber security, and Artificial Intelligence is a key part of that. There is a lot of buzz around the use of AI in cyber security too.
- But what does artificial intelligence mean for cyber security?
- Why cyber security needs AI?
- How AI can be used in cyber security
- Some examples of AI in cyber security
- Why AI in cyber security is important?
- How does AI in cyber security work?
- What does AI in cyber security mean for businesses and individuals?
11 examples of using Artificial intelligence in cyber security
Artificial intelligence (AI) and cybersecurity can work together in a number of ways to improve the security of computer systems and networks. Here are a few examples:
- Intrusion detection and prevention
- Cyber threat intelligence
- Phishing protection
- Vulnerability management using AI
- Network security
- Password security
- User behaviour analytics
- Threat detection and prevention
- Vulnerability assessment
- Password management
- Spam filtering
11 Use Cases of using Artificial Intelligence (AI) in Cyber Security
AI in Cybersecurity Use Case #1: Intrusion Detection and Prevention
Intrusion detection and prevention: AI can be used to identify unusual activity on a network and alert security personnel to potential threats.
AI in Cybersecurity Use Case #2: Cyber threat intelligence
Cyber threat intelligence: AI can be used to analyze data from various sources, such as social media and the dark web, to identify emerging threats and provide intelligence to businesses.
AI in Cybersecurity Use Case #3: Phishing protection
Phishing protection: AI can be used to identify and prevent phishing attacks by analyzing emails and detecting patterns that are indicative of phishing attempts.
AI in Cybersecurity Use Case #4: Vulnerability management
Vulnerability management: AI can be used to identify vulnerabilities in software and systems, and to prioritize which vulnerabilities need to be addressed first based on their potential impact.
AI in Cybersecurity Use Case #5: Network security
Network security: AI can be used to monitor network traffic and identify unusual patterns that may indicate an attack, such as a denial of service (DoS) attack.
AI in Cybersecurity Use Case #6: Password security
Password security: AI can be used to identify weak passwords and help users choose stronger ones, which can reduce the risk of password-based attacks.
AI in Cybersecurity Use Case #7: User behavior analytics
User behavior analytics: AI can be used to monitor user behavior and identify patterns that may indicate a security risk, such as a user accessing sensitive data from an unusual location.
AI in Cybersecurity Use Case #8: Threat detection and prevention
Threat detection and prevention: AI can be used to analyze large volumes of data, including network traffic and system logs, to identify potential security threats in real-time. By using machine learning algorithms, AI can learn to recognize patterns and anomalies that may indicate the presence of a threat, and alert security personnel or take automated action to prevent an attack.
AI in Cybersecurity Use Case #9: Vulnerability assessment
Vulnerability assessment: AI can be used to scan a network or system for vulnerabilities and identify areas that need to be strengthened. By analyzing data such as system configurations, patch levels, and user behavior, AI can help identify and prioritize vulnerabilities that need to be addressed.
AI in Cybersecurity Use Case #10: Password management
Password management: AI can be used to improve password security by generating strong, unique passwords for users and storing them securely. AI can also detect when passwords are being reused across multiple accounts, and alert users to the risks associated with this practice.
AI in Cybersecurity Use Case #11: Spam filtering
Spam filtering: AI can be used to filter spam emails and prevent them from reaching users’ inboxes. By analyzing the content and characteristics of emails, AI can learn to identify spam emails and prevent them from being delivered.
Conclusion
Overall, AI has the potential to significantly improve the security of computer systems and networks by automating tasks, analyzing data, and identifying threats and vulnerabilities. By working together, AI and cybersecurity can help protect organizations from cyber attacks and ensure the integrity and confidentiality of their data.
