IBM has introduced the Autonomous Security for Cloud (ASC) solution to enhance security in AWS environments using generative AI and automation. This tool aims to assist companies transitioning to AWS cloud by reducing risks and offering advanced automation options for security management and decision-making.
Developed by IBM Consulting, ASC leverages Amazon Bedrock's generative AI technology to automate and evolve security controls tailored to each enterprise. Organizations focused on cloud architectures can implement specific policies and configurations to mitigate potential risks effectively.
ASC's use of generative AI for autonomous decision-making reduces operational burdens, accelerates management processes, and enhances risk reduction through continuous monitoring and proactive threat mitigation. The solution minimizes manual tasks, allowing for a high level of automation.
In addition to traditional Cloud Security Posture Management (CSPM) solutions, ASC provides a personalized approach to cloud security management, incorporating AI-driven intelligence based on customer-selected control frameworks. Regular updates will ensure ongoing advancements.
ASC also automates the maintenance of optimal environments and addresses long-term policy deviations. Clients will benefit from understanding security policies through large language models and enhanced recovery generation applications.
The solution allows for autonomous monitoring and implementation of various cloud security controls, addressing misconfigurations and compliance discrepancies through native cloud automation.
Security teams will save time on policy implementation, enabling them to focus on regulatory compliance and script transformations. ASC combines generative AI with native cloud automation to streamline these processes.
IBM-certified consultants will support clients in generating customized assessments, continuous monitoring, proactive risk management, and regulatory compliance. ASC will be available starting December 2024.