Large Language Models (LLMs) represent a seismic shift in how humans and machines interact, utilizing deep learning to process and generate sophisticated natural language at an unprecedented scale. As organizations rapidly integrate these models into their workflows, cybersecurity becomes essential because LLMs introduce entirely new attack vectors, such as prompt injection, sensitive data leakage during training or inference, and the risk of generating malicious code. By establishing rigorous governance, implementing robust output filtering, and ensuring data privacy through “secure-by-design” architectures, businesses can harness the immense productivity gains of generative AI without compromising their intellectual property or creating new vulnerabilities in their digital perimeter.
The OWASP Top 10 for Large Language Model (LLM) Applications is a community-driven list identifying the most critical security risks specific to LLMs and generative AI systems. It highlights vulnerabilities… Read More »OWASP Top 10 for Large Language Model Applications
The OWASP LLM AI Cybersecurity & Governance Checklist provides organizations with a structured framework to manage the risks and responsibilities associated with deploying Large Language Models (LLMs). It covers 13… Read More »OWASP LLM Applications Cybersecurity and Governance Checklist v1.1