AI Workload Security with IBM Cloud Security and Compliance Center Workload Protection
Written By:
Janet Van, IBM Cloud Product Manager for Security and Compliance
Vivek Kinra, IBM Cloud Director for Security and Compliance
Durgesh Shukla, Sysdig Product Marketing Manager
Introduction
Artificial Intelligence (AI) is revolutionizing various industries, but it also introduces significant security challenges. With the increasing adoption of Generative AI (GenAI) in 2024, organizations must address the security risks associated with AI workloads.
Learn more about the key insights around AI security challenges and how you can establish and maintain the security, confidentiality and integrity of AI for your critical data and business with SCC Workload Protection
AI as a Major Security Gap
GenAI presents great potential but often contains vast amounts of sensitive training data. Organizations must be prepared for a range of security concerns spanning privacy, cyberattacks, regulatory compliance, and breach of intellectual property.
AI dramatically widens the attack surface for organizations. Here are some key statistics and insights:
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55% of organizations are planning to implement GenAI in 2024.
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56% of security professionals believe AI will be beneficial to attackers.
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34% of all GenAI workloads are publicly exposed.
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AI workloads are 25% more likely to be publicly exposed.
Regulations and compliance are evolving to address these risks:
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Oct 23: Executive order to promote safe and secure use of GenAI.
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Mar 24: Calls for independent audits of high-risk AI systems.
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Mar 24: EU adopts the AI Act, the world's first extensive horizontal legal regulation for AI.
Bridging the AI Security Gap with SCC Workload Protection
IBM Cloud Security and Compliance Center (SCC) Workload Protection is a cloud-native application platform (CNAPP) with advanced security capabilities extended to secure workloads with AI. By offering the necessary visibility and ability to implement securing against the risk of exposing critical and sensitive data from unauthorized access and insecure AI workloads through:
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Identifying AI use (visibility): Determine where AI is deployed and if vulnerable packages are being used.
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Addressing vulnerabilities and compliance: Detecting potential vulnerabilities and remediating them.
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Monitoring active AI risk: Identify risky configurations, permissions, and suspicious activity.
Centralized Visibility and Monitoring of AI In-Use
A key concern for many organizations is simply knowing where AI is being deployed and used. The inventory view in SCC Workload Protection and search ability helps identify the resources in your cloud environment that either have AI packages running or that are related, such as storage and IAM policies or roles. In addition, it supports checking various aspects of security posture related to AI deployments, identifying findings to applicable security and compliance policies to ensure compliance with emerging guidelines.
Unified Risk Management and Real-Time Insights
Identify and prioritize AI risks from a unified risk findings view providing a consolidated and correlated view of security risks and events. Leverage the risk attack path workflow to visualize the AI attack and highlight AI workloads with associated risks. And correlate risk findings deeper against identified vulnerabilities and threats detected to swiftly mitigate critical security issues surrounding your AI workloads.
Conclusion
AI will continue to evolve and along with it are growing security challenges it will present. IBM Cloud Security and Compliance Center Workload Protection offers a robust solution to identify, prioritize, and remediate AI risks, ensuring that organizations can safely leverage the power of AI. Stay ahead of the curve and start with SCC Workload Protection today.
Key takeaways of how SCC Workload Protection secures AI workloads, by providing:
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Visibility: Gain visibility and monitor AI workloads to identify active risks in real-time
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Inventory Management: Auto-discover AI workloads across cloud instances and nodes
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Compliance: Ensure compliance with emerging AI guidelines
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Risk Overview: Highlight AI workloads with associated risks and visualize AI attack paths
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Threat Detection: Detect threats in real-time and prioritize the most imminent AI risks
Getting Started
IBM Cloud Security and Compliance Center Workload Protection is currently available in the IBM Cloud catalog and offers a 30-day free trial.
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Navigate to the IBM Cloud Catalog.
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Select the Security and Compliance Center Workload Protection tile.
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Create an instance and automatically get the results for recommended IBM policies.
For more detailed instructions, see the documentation.
Learn More
To learn more about the IBM Cloud Security and Compliance Center Workload Protection, check out recent announcements and related content: