Generative Artificial Intelligence (GenAI) adoption is picking up pace. According to McKinsey, the rate of implementation has doubled compared to just ten months prior, with 65 percent of respondents saying their companies regularly use GenAI. The promise of disruptive impact to existing businesses — or delivering services into markets in new and more profitable ways — is driving much of this interest. Yet many adopters aren’t aware of the security risks at hand.
Earlier this year, the Open Worldwide Application Security Project (OWASP) released a Top 10 for Large Language Model (LLM) applications. Designed to provide hands-on guidance to software developers and security architects, the OWASP Top 10 guide lays out best practices for securely implementing GenAI applications that rely on LLMs. By explicitly naming the most critical vulnerabilities seen in LLMs thus far, prevention becomes a simpler task.
