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What is Prisma Cloud?

Prisma™ Cloud delivers comprehensive security throughout the entire development lifecycle for any cloud platform, allowing you to build cloud-native applications with assurance. As companies shift towards cloud solutions, the application development lifecycle experiences substantial changes, making security a vital focus. With the rise of cloud-native strategies, security and DevOps teams face an ever-growing number of components to protect. The fast-paced environment of cloud computing encourages developers to innovate and release updates quickly, while security teams are tasked with maintaining protection and compliance at every phase of the lifecycle. Feedback and experiences shared by our satisfied customers emphasize the standout security capabilities of Prisma Cloud. Such insights not only highlight the platform's effectiveness but also reinforce the necessity of implementing strong security protocols to keep pace with the continuous advancements in cloud application development. This collaborative effort between developers and security teams is essential to navigating the complexities of modern cloud environments successfully.

What is Noma?

Shifting from development to production, as well as from conventional data engineering to artificial intelligence, necessitates the safeguarding of various environments, pipelines, tools, and open-source components that form the backbone of your data and AI supply chain. It is crucial to consistently identify, avert, and correct security and compliance weaknesses in AI prior to their deployment in production. Furthermore, real-time monitoring of AI applications facilitates the identification and counteraction of adversarial AI attacks while ensuring that specific application guardrails are maintained. Noma seamlessly integrates throughout your data and AI supply chain and applications, delivering a comprehensive overview of all data pipelines, notebooks, MLOps tools, open-source AI components, and both first- and third-party models alongside their datasets, which in turn allows for the automatic generation of a detailed AI/ML bill of materials (BOM). Additionally, Noma continuously detects and provides actionable insights for security challenges, including misconfigurations, AI-related vulnerabilities, and the improper use of non-compliant training data across your data and AI supply chain. This proactive strategy empowers organizations to significantly improve their AI security framework, ensuring that potential risks are mitigated before they have a chance to affect production. In the end, implementing such strategies not only strengthens security but also enhances overall trust in AI systems, fostering a safer environment for innovation.