While the world moves to kiss Generative artificial intelligence (Gen AI) For various use cases, it is possible to use this emerging technology to improve cybersecurity protections in the cloud. Cloud safety standards are an essential element in the cybersecurity protections of an organization. The use of AI technology to establish, monitor and manage cloud safety controls in the cloud inheritance of an organization should be designed to protect itself against human -origin compliance errors and provide reports to compliance with cloud safety requirements.
There are three main ways to improve cloud safety posture by establishing continuous control monitoring capacities using AI generation:
- Deployment: Cloud safety standards can be translated by AI to allow the transparent deployment of protective and detective cloud safety controls, which would cause productivity and compliance to such requirements.
- Management: An AI model can be formed to permanently discover the environment, provide up -to -date changes in cloud safety posture checks and quickly respond to any detected concern.
- Threat detection: An AI model can also be formed to detect, correlate and align cloud safety standards on threats and automatic and semi-automatic response capacities for real-time action and analysis.
Point Security Solutions helps manage business posture management for the cloud, and they will continue to be part of a cybersecurity toolbox that companies can use. However, static tools do not adapt in real time. On the contrary, a continuous monitoring solution for controls using Gen AI demonstrates the ideal solution, where IT environments comply with the latest cloud security standards and can adapt to the erroneous drift as it occurs, automatically corrects high -risk exposures.