Leveraging Hardened Cybersecurity Frameworks for AI Security
Strengthen AI security by leveraging hardened cybersecurity frameworks like CWE to mitigate vulnerabilities and enhance resilience.
Security for AI
Bypassing OpenAI’s Structured Outputs: Another Simple Jailbreak
Discover how researchers bypass OpenAI's structured outputs with advanced jailbreak techniques. Learn about the vulnerabilities, implications, and ways to enhance AI system security in this insightful blog post.
Bypassing Meta’s LLaMA Classifier: A Simple Jailbreak
Discover how researchers bypassed Meta's LLaMA classifier using a straightforward jailbreak method. Learn about the vulnerabilities in AI content moderation and the implications for AI security.
Introducing the Coalition for Secure AI (CoSAI)
Announcing the launch of the Coalition for Secure AI (CoSAI) to help securely build, deploy, and operate AI systems to mitigate AI-specific security risks.
Fine-Tuning LLMs Breaks Their Safety and Security Alignment
Fine-tuning large language models can compromise their safety and security, making them more vulnerable to jailbreaks and harmful outputs.
Securing the LLM Stack
Learn how to secure the LLM stack, which is essential to protecting data and preserving user trust, as well as ensuring the operational integrity, reliability, and ethical use of these powerful AI models.
Securing AI: Navigating the Complex Landscape of Models, Fine-Tuning, and RAG
Bad actors leverage AI, escalating the complexity and scale of threats. We need robust security measures and proper monitoring in developing, fine-tuning, and deploying AI models.