One of the most overlooked attack surfaces in production LLM deployments is the output channel. Most teams invest heavily in input sanitization — filtering prompts for injection payloads, blocking …
Large Language Models (LLMs) are changing how we build software. But with great power comes great risk. Visualizing the attack surface of these systems is key to understanding how to secure them. The …
Prompt injection has evolved from a theoretical curiosity to the most common AI security vulnerability in production. The defenses have evolved too — from simple keyword filters to sophisticated …
Red teaming has been a cornerstone of cybersecurity for decades, but AI red teaming requires fundamentally different approaches. Traditional red teams exploit software vulnerabilities — buffer …
Retrieval-augmented generation has become the dominant architecture for production LLM applications. By grounding model outputs in retrieved documents, RAG systems reduce hallucinations and improve …