IBM has unveiled its new AI-driven solution, Autonomous Security for Cloud (ASC), designed to automate cloud security management and decision-making.
Developed by IBM Consulting, ASC aims to reduce security risks for organizations accelerating their cloud migration on Amazon Web Services (AWS).
In its 2024 Cloud Threat Landscape report, IBM highlighted that misconfigurations and compliance failures were among the top security threats organizations face as they embrace cloud computing.
These challenges are especially prevalent in highly regulated sectors like financial services, manufacturing, and the public sector, where legacy compliance processes struggle to keep pace with rapidly evolving cloud infrastructures and stringent regulatory standards.
As more organizations adopt cloud technologies, ensuring robust and specific security configurations is critical to minimizing risks.
ASC addresses these challenges by leveraging Amazon Bedrock generative AI to automate and enforce security controls chosen by clients, accelerating deployment, reducing manual work, and providing real-time adjustments and proactive threat mitigation.
Generative AI at the Heart of Cloud Security
ASC combines the power of generative AI and automation to simplify cloud security management, providing continuous monitoring and autonomous decision-making capabilities.
By augmenting traditional Cloud Security Posture Management (CSPM) systems, ASC tailors cloud security to each organization’s unique needs. It helps enforce security hygiene, resolve misconfigurations, and prevent long-term policy drift, ensuring cloud environments remain secure as they evolve.
"Generative AI-driven automation is a game-changer," said Dave Vellante, Chief Analyst and co-founder of theCUBE Research. "It enables organizations to adapt, enforce, and control data policies with speed and precision, addressing the ever-growing complexity of cloud security."
How ASC Enhances Cloud Security
IBM’s ASC solution provides several key benefits for organizations:
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AI-Powered Insights: Utilizing large language models (LLMs) and retrieval-augmented generative (RAG) applications, ASC helps organizations understand and implement their security policies.
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Regulatory Compliance: ASC autonomously infers AWS native technical controls that match a client’s workload and regulatory requirements.
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Proactive Threat Mitigation: ASC continuously monitors the cloud environment, automatically deploying security controls and addressing misconfigurations.
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Faster Policy Deployment: By automating security policy mapping and compliance processes, ASC reduces the time security teams spend on manual tasks and accelerates the deployment of security protocols.
Accelerating Cloud Transformation
ASC is designed to support organizations at every stage of their cloud journey, especially in industries with complex regulatory demands.
By leveraging IBM’s cloud expertise and AWS capabilities, ASC accelerates cloud adoption, enhances security, and ensures compliance.
With ASC, organizations can streamline their cloud migration, reduce operational burdens, and unlock new opportunities for business transformation.
IBM Consulting’s cloud-certified experts will assist clients in deploying ASC, providing tailored assessments, continuous monitoring, and proactive risk management to ensure optimal security and compliance. ASC will also be integrated with AWS to enhance cloud infrastructure accuracy and effectiveness.
Availability and Future Plans
IBM’s Autonomous Security for Cloud will be available globally in December 2024, with an exclusive session at AWS re
2024 titled "Harnessing AI for Autonomous Cloud Security: IBM & AWS Game-Changing Solution." For more information about ASC, visit IBM’s website.
With this new offering, IBM is reaffirming its commitment to advancing cloud security and empowering organizations to navigate the complexities of cloud adoption with confidence.
