09/23/2024 | Press release | Distributed by Public on 09/23/2024 08:34
Artificial intelligence (AI) is no longer a distant concept-it's here and reshaping industries at an unprecedented pace. From healthcare to finance, transportation to manufacturing, AI is unlocking new efficiencies, solving complex challenges and driving impactful decisions. However, this level of influence brings significant responsibility, especially regarding data protection and cyber resilience for AI workloads.
According to the Dell Technologies Generative AI Pulse Survey, 76% of IT leaders believe that GenAI will have a significant, if not transformative, impact on their organizations. This belief is reflected in budget allocations, with 76% of respondents increasing their AI budgets to capitalize on this technology.
While the benefits of AI are immense, the associated risks cannot be ignored. AI applications generate vast amounts of data that need to be protected. Nearly 90% of organizations surveyed in the Dell Global Data Protection Index acknowledge that AI will create large volumes of data requiring protection. However, 65% of organizations are only backing up as little as 50% of their total AI data, according to Enterprise Strategy Group research. This gap highlights the urgent need for robust data protection strategies from the planning and design stages to safeguard AI applications and their data.
AI workloads are prime targets for cyber-attacks, making cybersecurity a critical aspect of AI deployment. Common threats include data poisoning, ransomware, privacy breaches and social engineering.
Long-term retention of sensitive data is essential for compliance. Legal protections against IP infringement, use of personal identifiable information (PII), proof of prompt and response and copyright violations must be considered.
Maintaining the state of AI workloads for performance or re-vectoring and reconstructing datasets used for generating models are key for operational continuity.
It is essential to protect training data, models, configurations and parameters by ensuring they are backed up on primary storage and can be sent to a cyber recovery vault if necessary. Additionally, safeguarding modern workloads such as Kubernetes volumes, Elastic Search, PostGreSQL, MongoDB and more is crucial for maintaining data integrity and security.
Dell's PowerProtect portfolio offers comprehensive solutions for protecting AI workloads.
Dell's data protection solutions enhance cyber resilience, safeguarding against data loss and attacks while ensuring compliance for the long-term retention of sensitive information. This approach minimizes risks associated with intellectual property, personally identifiable information and copyright, providing vital legal protection. Furthermore, optimizing workloads facilitates the maintenance and restoration of AI workload states, while dataset reconstruction enables the seamless integration of data from diverse sources.
The Dell AI Factory represents our strategy for integrating AI into business operations, ensuring successful and consistent deployment at any scale. Dell's AI Factory leverages the proven performance, efficiency and scale of Dell PowerProtect to secure AI workloads including retrieval-augmented generation (RAG) with NVIDIA Microservices.
The integration of AI into business operations is more than a technological advancement-it's a strategic necessity. However, the benefits of AI can only be fully realized if the associated data is protected and cyber-resilient.
Elevate your AI capabilities and enjoy the peace of mind that comes with robust protection and cyber resiliency for your AI workloads.