Artificial Intelligence (AI) is emerging as a powerful tool for optimizing business operations. According to research from Nutanix:
- 90% of C-level executives consider AI a priority
- 90% believe IT infrastructure needs to be improved to support AI
- 83% plan to increase investment in edge network strategy to support AI
While investing in AI is a growing priority for companies, like most emerging technologies, it can also introduce security risks as cybercriminals target vulnerabilities in AI models.
To future proof for AI, companies need the right security and data protection tools, as well as ways to accelerate AI application development and deployment.
Defending Against AI Risks
Forbes reported on 5 common cyberattacks that target AI assets.
- Data Poisoning – Injecting malicious data into machine learning models to train them with false information
- Evasion Attacks – Tricking or evading AI systems for access and identity authentication
- Model Theft – Stealing the AI model to identify its vulnerabilities and create malicious prompts
- Supply Chain Compromise – Using social engineering or credential theft to gain access to and infect code in the AI supply chain
- Backdoor AI Model – Uploading a trojan to alter an AI algorithm so that it behaves maliciously
In the face of these threats, companies need to put a governance framework in place to secure AI assets for the long term.
Benefits of AI
While AI creates risk for companies, it can also deliver advanced security through the following capabilities.
- AI-Driven Security Operations Center (SOC) – An AI-driven SOC uses automation and advanced analytics to enhance threat detection, accelerate incident response, and strengthen a company’s overall security posture.
- Fraud Detection – AI systems can analyze large datasets to identify patterns that signal fraudulent behavior quickly and accurately.
- Threat Detection – AI can analyze vast volumes of data and network traffic to detect anomalies that might indicate malicious activity, enabling rapid and scalable threat detection.
- Alert Enrichment – AI adds context and meaning to raw alert data using machine learning to transform alerts into actionable intelligence for more accurate incident response.
- Automated Policy Setting – AI can manage and enforce security policies in areas such as data governance and access control to automate tasks and update controls.
Enterprise Generative AI has many use cases that increase productivity, including:
- Accelerated Code and Content Creation
- Improved Customer Support
Companies should implement AI solutions to take advantage of these benefits and support future business growth.
How to Accelerate AI Projects Deployment
Nutanix AI solutions provide a secure, scalable, and flexible way to deploy AI initiatives. With Nutanix Enterprise AI (NAI) and the full cloud platform, companies simplify the operations needed to carry out AI projects and enable customers to run Agentic applications.
Nutanix provides all the infrastructure needed to support generative AI.
- Nutanix Enterprise AI – Nutanix Enterprise AI allows organizations to implement Large Language Models (LLMs) and endpoint devices with secure APIs that can run at the edge of the network and on public cloud.
- Nutanix Kubernetes Platform – Nutanix Kubernetes Platform simplifies operations and establishes consistency across environments.
- Nutanix Unified Storage – Nutanix Unified Storage is Software-Defined Storage (SDS) that consolidates file, object, and block storage while offering analytics, cybersecurity, and data protection.
With Nutanix, AI infrastructure is supported by sizing and integration services. AI and GenAI applications, including AI Agents, can be deployed quickly while lowering total cost of ownership (TCO).
Securing Your AI Assets
Nutanix AI solutions deliver security and resilience for AI assets in addition to other data and infrastructure assets. With Nutanix AI solutions, companies protect themselves against attacks on AI models by following the National Institute of Standards & Technology (NIST) Cybersecurity Framework.
Companies that adopt Nutanix AI benefit from improved data services that maintain the privacy and integrity of AI workloads through native data protection and security.
Nutanix Enterprise AI empowers companies to deploy LLMs and endpoints with secure APIs to run from the network edge to public clouds for all GenAI apps and agents with standardized and centralized inferencing, including Day 2 operations.
Preparing for the Future of AI
Companies must start laying the foundation for the future of AI today. Adopting Nutanix AI solutions gives organizations the supporting infrastructure and security they need to carry out AI projects at scale and protect AI assets.
Red8 takes a consultative approach to delivering leading AI solutions, including Nutanix Enterprise AI. We will work with you to map your organization’s AI strategy to the right platforms. Red8 provides implementation and managed services for AI, ensuring that your solution lives up to its potential now and in the future.
Get on the road to future proofing your company for AI. Reach out today to meet with the Nutanix AI experts at Red8.
