Perspectives

Learn how AI systems misbehave when prompted in one of the most dangerous threat areas: high-risk CBRN. Based on ActiveFence’s internal testing of leading LLMs, the results reveal critical safety gaps that demand serious attention from enterprise developers.

See how the RAISE Act aims to stop AI-enabled crises.

Scaling AI requires safety by design. Learn how Alice is integrating with NVIDIA NeMo Guardrails to provide real-time protection and help enterprises deploy AI agents that are secure, responsible, and aligned.

Discover how cybercriminals are turning the Flutter development framework into an attack vector, fueling a new wave of stealthy mobile malware.

Many AI safety and governance approaches break down once AI systems reach production. See how Alice and NVIDIA address this gap with an AI safety flywheel combining adversarial testing, guardrails, and real-time oversight to keep AI systems governed at scale.

A plain-language explanation of prompt injection: what it is, the five types, how it differs from jailbreaking, and where it shows up in real AI systems.

What LLM guardrails are, how they secure prompts, RAG, outputs, and agent tool calls at runtime, and how to measure them like production controls rather than prompt tweaks.

What AI guardrails are, the types that cover inputs, outputs, data, tools, and agents, and how to enforce policy before, during, and after each AI interaction.

What prompt injection attacks are, how direct, indirect, and agentic variants reach LLM apps and agents, the business impact, and the runtime defenses that contain them.