As large language models (LLMs) evolve from simple text generators to agentic systems —able to plan, reason, and autonomously act—there […]
Category: Guardrail
AI Guardrails and Trustworthy LLM Evaluation: Building Responsible AI Systems
Table of contents Introduction: The Rising Need for AI Guardrails What Are AI Guardrails? Trustworthy AI: Principles and Pillars LLM […]
Anthropic Proposes Targeted Transparency Framework for Frontier AI Systems
As the development of large-scale AI systems accelerates, concerns about safety, oversight, and risk management are becoming increasingly critical. In […]
VERINA: Evaluating LLMs on End-to-End Verifiable Code Generation with Formal Proofs
LLM-Based Code Generation Faces a Verification Gap LLMs have shown strong performance in programming and are widely adopted in tools […]
Meta AI Open-Sources LlamaFirewall: A Security Guardrail Tool to Help Build Secure AI Agents
As AI agents become more autonomous—capable of writing production code, managing workflows, and interacting with untrusted data sources—their exposure to […]
Introducing Parlant: The Open-Source Framework for Reliable AI Agents
The Problem: Why Current AI Agent Approaches Fail If you have ever designed and implemented an LLM Model-based chatbot in […]