You need to consider these 5 ways to protect AI models!

SCWorld.com reported that “Artificial intelligence (AI) systems permeate almost every aspect of modern society. These technologies have deep integrations with business information systems that access valuable data such as customer details, financial reports, and healthcare records. AI systems can also access a variety of IT and OT systems such as cloud services, communication tools, IoT devices, and manufacturing processes.”  The October 30, 2024 report entitled " Five ways to protect AI models” (https://tinyurl.com/6fntew7e) included these 5 way to protect AI models from LLM attacks:

1. Embrace user awareness and education: Ensure that employees are well aware of AI risks and weaknesses. Train them well so they don’t fall victim to phishing attacks or upload sensitive company data into AI models for analysis.

2. Develop an AI usage policy: Define ethical and responsible usage policy for AI within the organization. Offer clear instructions on what the company permits and does not permit. Identify and communicate risks associated with AI, such as data privacy, bias and misuse.

3. Leverage AI model and infrastructure security: Deploy advanced security tools to protect the AI infrastructure from DDoS and other cybersecurity threats. Use zero-trust principles and strict access controls. Limit access to AI models to specific privileged users.

4. Validate and sanitize inputs: Validate and sanitize all inputs must before they are passed to the LLM for processing. This step ensures protection against all major prompt injection attacks, ensuring that the model has been fed clean data.

5. Practice anonymization and minimization of data: Use masking or encryption techniques to anonymize data while training AI models. Minimize data use by only using data necessary for the company’s specific application.

Good advice, what do you think?