AI
Treat AI Models as Untrusted Insiders: 6 Common Misunderstandings
AI systems operate with internal privileges that bypass standard network controls, requiring security teams to treat model outputs as inherently untrusted data until verified.
prompt injection
Everything Sandbox Dispatch has reported about prompt injection: 5 stories, newest first. Part of our AI coverage.
AI
Large Language Models: 8 Technical FAQs for Secure Development
LLMs compress data into weights, meaning they retain knowledge from training but lack real-time awareness or inherent truth verification capabilities.
AI
How to Implement LLM Guardrails: A Step-by-Step Architecture
Guardrails shift trust from the model to the pipeline, preventing output manipulation even when the underlying AI fails or is compromised.
AI
Prompt Injection vs Jailbreaking: Which Defense Fits Your System
You do not need to defend against both threats equally. Distinguishing between external input manipulation and internal system override determines your security architecture.
AI
How Insecure AI Plugins and Agents Fail: A Step-by-Step Breakdown
Most agent failures stem not from model hallucinations, but from unvalidated data flows between the reasoning engine and external tools.