In today’s digital and technological world, the chances of cyberattacks and data thefts have increased tremendously. Experts in the IT industry are working to identify such attacks by cybercriminals and fight them back. AI and machine learning are two robust technologies that help to enhance cloud security and reduce vulnerability to attacks.
When it comes to improving cloud security, it is not just about keeping the hackers and cybercriminals at bay. Most of the time, security violations and threats happen due to internal errors from users. The errors or mistakes made by the users are weakest points in the cloud security chain, resulting in increased malware attacks.
In 2021, the number of ransomware attacks increased by 62% globally. There are more than 560,000 malware pieces detected everyday around the world.
The implementation of various AI solutions help to enhance cloud security significantly.
Prediction of futuristic events
- Cloud security using machine learning and artificial intelligence involves leveraging on data to accurately predict future events related to compromise in security.
- The predictive models used by AI and machine learning help businesses to prepare for any potential security threats or vulnerabilities.
- The predictive models serve multiple purposes. On one hand, they help organizations to detect threats or possibility of security breach, and also the source of it.
- Also, organizations can prepare better for such security attacks in the future.
Automated detection and immediate response
- In addition to predictive models, AI solutions can help put an automated detection system in place for cloud security.
- An AI-powered automated system can analyze and react to an event also immediately without waiting for anyone to take the decision related to cloud security.
- For any potential intrusion or security threat, the automated system responds almost instantaneously.
- AI and machine learning can block users, deny access, shutdown systems, and block incoming traffic from certain points.
- By implementing automated detection AI solutions, organizations can identify and handle potential security threats faster than before, within a few minutes or even some hours.
Identifying vulnerabilities
- The backend (server-side) may be completely safe and secure. However, this does not mean that it is susceptible to security threats.
- User errors and low security measures along with other vulnerabilities can result in huge problems.
- Most of the issues which are the root cause of vulnerabilities tend to go overlooked for many years.
- Any loopholes in the software or application can be identified and closed using security patches by the developers with the help of AI solutions.
- AI and machine learning can also identify the areas where employees and team members require further training in cloud security.
Real-time security surveillance
- With the use of various algorithms, AI can detect various suspicious behavior and events related to security compromise.
- Not just this, AI and machine learning can alert the security team in the organization.
- The combination of AI, ML, and an automated action system can improve security awareness and take the necessary precautions and preventive measures.
- With AI and machine learning, real-time security surveillance can keep the security team on high alert and be prepared for any kind of attacks or events.
Robust control of data
- Be it any organization, small or large, data leaks are quite common.
- Data leaks may not only be due to external threats, but also unauthorized access to individuals.
- Users in an organization may get access to key data which shouldn’t be accessible to them. A potential security breach in their account or platform may cause a huge data theft attack.
- The combination of AI solutions along with network security, gateway security, multi factor authentication, and endpoint protection is really beneficial to the administrators. It enables the shutdown of the entire system in case of signs of any security threats or suspicious activities inside the organization.
- The cloud security identity management solution reduces the risk exposure to data as it only allows access to certain individuals, and keeps away those who don’t require any access to it.
- A strong cloud security can be enforced with the help of AI and machine learning for effectively controlling who has access to data and who doesn’t.
Automating cloud security
- Automating cybersecurity operations through the use of AI solutions is vital for cloud security.
- Cloud security using machine learning and artificial intelligence is indispensable to keep cyber attacks and security threats at bay.
With the increasing occurrences of cyber attacks and data theft incidents, many top companies like CISCO have adopted AI in cloud security. As more benefits of AI powered cloud security platforms are discovered, this trend will continue in the future as well.