Cloud Computing is a fast-rising technology that has seen significant adoption by organizations and various industries. There is no doubt that cyber criminals have also found ways to infiltrate this system, hence, the need for Cloud Security.
With the ever-rising security threat to the cloud environment and the adoption of AI-powered tools by threat actors, it is only pertinent that Cloud Security professionals fight back against these attacks by leveraging AI as well.
Let’s explore the different ways in which Artificial Intelligence is impacting Cloud Security and how professionals can take advantage of this technological advancement to stay steps ahead of cyber threats.
1. Automated Threat Intelligence
AI can be used to gather, process, analyze, and store threat intelligence which are valuable data that can then be used to train the AI algorithm. In doing so, whenever there is an activity on the network, the algorithm compares this activity with the intelligence in its dataset and raises an alert if it is a malicious activity.
2. Automated Threat Detection and Response
Threat Detection and Response can be automated with the help of AI. What this means is that AI models can be trained with data obtained from threat intelligence. The system can detect unexpected behavior, API calls, and misconfiguration in the Cloud and respond to it almost immediately without the intervention of a Security expert. This reduces the incident response time and minimizes human error.
3. User Behavior Analysis
The pattern and behavior of users of a Cloud environment can be analyzed and recorded. This is done so that when a difference in the pattern is observed, it can be automatically flagged as suspicious and the necessary steps to remediate this can be done. These patterns may include the user logins, network traffic, geo-location, access privileges of the user, devices being used, etc. These numerous data can be quickly and efficiently collated and analyzed to understand the pattern using AI.
4. Identity and Access Management
A crucial part of the Cloud’s security is access control. AI can boost this IAM process by recognizing and analyzing access protocols being used by authorized persons. When an access protocol contrary to the recognized pattern is initiated, it will raise an alert about an unauthorized access attempt and automatically initiate a response.
5. Overall Security Posture
Another impact of AI on Cloud Security is the overall automation of security that it provides. Security teams can set up AI to carry out repetitive or tedious tasks such as log monitoring, patching vulnerabilities, configuring firewalls, responding to alerts, etc. With AI handling these tasks, the team can focus on other key security responsibilities.
All the various impact of AI on Cloud Security work together to provide a seamless and robust security system. Cloud service providers are also working tirelessly to produce a more secure Cloud environment by leveraging AI.
Cloud Security professionals also need to advance their skills to keep up with the advancing defense techniques and also knowing the right tools.
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