Understand and mitigate security risks in web-based LLMs

Web-based large language models (LLMs) are transforming customer interactions, but rapid adoption brings security concerns often overshadowed by market pressures.

LLMs share four traits:
• User prompts guiding context
• Exposed APIs for integration
• Data powering responses
• Training sets shaping capabilities

Unlike deterministic web apps, LLMs operate on probability, creating unique security challenges. The OWASP Top 10 for LLMs highlights vulnerabilities like prompt injection and insecure output handling.

Security professionals can adapt traditional methods to include probabilistic testing to protect against these threats.

Read this white paper to learn how to secure your LLM applications.