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We’re excited to share that CrowdStrike Falcon® Cloud Security now offers enhanced tools to help secure artificial intelligence (AI) development, simplify AI security posture management, and quickly respond to AI threats. These updates have been developed in collaboration with NVIDIA since August 2024.
As AI rapidly transforms how industries operate, it’s also creating new security challenges. The cloud is essential to AI development, and the demand for cloud resources is growing: The cloud AI market is projected to grow from $102.09 billion in 2025 to $589.22 billion by 2032.1 This growth in cloud workloads is expanding the attack surface — and adversaries are taking advantage. The CrowdStrike 2025 Global Threat Report revealed a 26% year-over-year increase in new and unattributed cloud intrusions in 2024, indicating more adversaries are seeking to exploit cloud services.
The security tools needed to protect AI development must match the sophistication of adversaries targeting critical aspects of the development process.
The Risks of Scaling AI Development
AI development relies on the scalability of the cloud, sensitive datasets, and complex models that can introduce new vulnerabilities. Misconfigurations, adversarial inputs, and data poisoning are just some of the tactics that can be used to exploit AI systems.
Recent trends highlight the urgency to secure AI development:
- Expanding Attack Surfaces: The global AI market is expanding rapidly, with a projected compounded annual growth rate (CAGR) of 28.5% from 2025 to 2032,2 creating a larger attack surface for adversaries to target.
- Adversarial Threats: Sophisticated adversaries are increasingly targeting AI models, aiming to disrupt operations and compromise outcomes. These attacks pose significant risks to organizations relying on AI for critical processes.
- Data Complexity: Security teams face challenges in managing massive volumes of unstructured data. This complexity makes it harder to manage, identify, and respond to potential threats.
AI, DevOps, and security practitioners must address these trends to ensure secure, scalable, and efficient operations. As AI adoption grows, DevOps teams must optimize cloud infrastructure for seamless deployment, while security teams implement safeguards to protect expanding AI workloads. Adversarial exploits targeting AI models, such as attempts to manipulate predictions, require AI teams to develop resilient models and security teams to use advanced threat detection tools. Managing a large volume of unstructured organizational data demands robust data pipelines from DevOps teams and effective access controls from security teams. By collaborating across these domains, practitioners can harness AI’s potential while mitigating risks.
Protecting AI development requires advanced, AI-driven security solutions capable of evolving with the threat landscape. CrowdStrike provides them using NVIDIA AI.
How CrowdStrike Works with NVIDIA to Transform AI Security
With the power of CrowdStrike Falcon Cloud Security and NVIDIA NIM microservices, organizations can maximize the power of AI while addressing the risks that come with its growth.
NVIDIA NIM, part of the NVIDIA AI Enterprise software platform, is a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing across clouds, data centers, and workstations. It simplifies AI model deployment across NVIDIA GPUs in any environment. With prebuilt, optimized inference engines and standard APIs, developers can quickly integrate the latest AI models and launch production AI applications in minutes. Its efficient microservices ensure optimal performance, scalability, and seamless integration, maximizing AI potential with minimal complexity.
For over a decade, CrowdStrike has leveraged AI to enhance cloud security. CrowdStrike Falcon Cloud Security delivers unified protection with a single sensor and AI-driven threat detection using NVIDIA NIM across hybrid cloud environments. It analyzes vast telemetry to predict attack paths and automate responses.
Falcon Cloud Security also serves as an additional layer on top of the NVIDIA NIM resources. Leveraging NVIDIA’s natively protected infrastructure and regular security updates, organizations powering their AI development with NVIDIA get a shared responsibility model that can secure AI development.
Falcon Cloud Security gives teams cloud-native security for AI development, powered by CrowdStrike’s AI engine and world-class threat intelligence. This combination reduces the risks associated with AI development pipelines and stops attackers from exploiting vulnerabilities in real time. Let's look at some highlights.
Secure and Monitor the AI Lifecycle with Falcon Cloud Security
Secure AI Development: Container image assessment discovers vulnerabilities, malware, and malicious AI packages, which may be exploited when deployed. This helps prevent the deployment of insecure artifacts such as vulnerable operating systems, apps, and container images to the test environment from the start, giving developers a more secure foundation for AI development.
AI Security Posture Management (AI-SPM): Falcon Cloud Security monitors compliance and cloud AI infrastructure for drift and misconfigurations. Using AI-SPM, security teams can track and catalog all AI services in their organization to track and prevent the use of risky shadow AI models while continuously monitoring them in real time to enable early detection. Tools like Attack Path Analysis map vulnerable avenues attackers might exploit so teams can quickly fix them. And, AI-SPM allows teams to integrate security into their AI systems and infrastructure in order to enforce best practices and reduce risk.
Security teams will have one consolidated view of AI security posture across their organization. This includes visibility into services and models in use, supply chain risks and vulnerabilities, and a more granular understanding of risks to AI services in your environments.
