The pace of development of solutions based on large language models (LLMs) and artificial intelligence (AI) means that more and more companies implement AI-based products in their organizations, or integrate Large Language Models into their products.
Do your employees know what can go wrong during LLM-based system implementation?
One of the best-known threats associated with large language models is prompt injection, but did you know that a large language model embedded in your application can also cause errors such as XSS (Cross Site Scripting) or data leaks?
On top of that, the infrastructure used to manage large language models can cause secrets leaks, leaks of customer and employee data, or can allow competitors and customers free access to your custom models.
Scope of Training
In the LLM Security Training, I cover topics such as:
- secure deployment of large language models in existing solutions
- preventing prompt injection
- preventing insecure output vulnerabilities
- securing LLMOps/MLOps infrastructure
- vulnerabilities from OWASP Top10 for LLM Applications and OWASP Top10 for Machine Learning lists
- AI security standards
- threat modeling for AI-based systems
- testing chatbots based on Large Language Models
- 3rd-party solutions for LLM security
Reach out now if you want to get an offer for LLM Security Training or Awareness Training: