Cover Image

Protect: Towards Robust Guardrailing Stack for Trustworthy Enterprise LLM Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Avinash, Karthik, Pareek, Nikhil, Hada, Rishav
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
by: Kartik, NVJK, et al.
Published: (2025)

RAG Makes Guardrails Unsafe? Investigating Robustness of Guardrails under RAG-style Contexts
by: She, Yining, et al.
Published: (2025)

Support-Contra Asymmetry in LLM Explanations
by: Patil, Avinash
Published: (2025)

Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach
by: Gundawar, Atharva, et al.
Published: (2024)

OneShield -- the Next Generation of LLM Guardrails
by: DeLuca, Chad, et al.
Published: (2025)

CR4T: Rewrite-Based Guardrails for Adolescent LLM Safety
by: An, Heajun, et al.
Published: (2026)

Routine: A Structural Planning Framework for LLM Agent System in Enterprise
by: Zeng, Guancheng, et al.
Published: (2025)

NeuroFilter: Privacy Guardrails for Conversational LLM Agents
by: Das, Saswat, et al.
Published: (2026)

Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs
by: Singh, Gundeep, et al.
Published: (2026)

Case-Aware LLM-as-a-Judge Evaluation for Enterprise-Scale RAG Systems
by: Chhabra, Mukul, et al.
Published: (2026)

Building Guardrails for Large Language Models
by: Dong, Yi, et al.
Published: (2024)

A Lightweight Explainable Guardrail for Prompt Safety
by: Islam, Md Asiful, et al.
Published: (2026)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
by: Azimi, Rambod, et al.
Published: (2024)

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
by: Patil, Avinash, et al.
Published: (2025)

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
by: Ni, Bo, et al.
Published: (2024)

Trust-Oriented Adaptive Guardrails for Large Language Models
by: Hu, Jinwei, et al.
Published: (2024)

Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems
by: Lee, Alexander W., et al.
Published: (2025)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents
by: Hua, Wenyue, et al.
Published: (2024)

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
by: Zheng, Mingqian, et al.
Published: (2025)

Green Shielding: A User-Centric Approach Towards Trustworthy AI
by: Li, Aaron J., et al.
Published: (2026)

Guarding the Guardrails: A Taxonomy-Driven Approach to Jailbreak Detection
by: Giarrusso, Francesco, et al.
Published: (2025)

Backprompting: Leveraging Synthetic Production Data for Health Advice Guardrails
by: Cheng, Kellen Tan, et al.
Published: (2025)

Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2025)

Noise Injection Systemically Degrades Large Language Model Safety Guardrails
by: Shahani, Prithviraj Singh, et al.
Published: (2025)

Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes
by: Jiao, Rui, et al.
Published: (2025)

LLM4Sweat: A Trustworthy Large Language Model for Hyperhidrosis Support
by: Lin, Wenjie, et al.
Published: (2025)

Towards Understanding the Robustness of LLM-based Evaluations under Perturbations
by: Chaudhary, Manav, et al.
Published: (2024)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
by: Ni, Bo, et al.
Published: (2025)

Policy-as-Prompt: Turning AI Governance Rules into Guardrails for AI Agents
by: Kholkar, Gauri, et al.
Published: (2025)

Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
by: Huang, Wei-Chieh, et al.
Published: (2025)

ChatGPT Doesn't Trust Chargers Fans: Guardrail Sensitivity in Context
by: Li, Victoria R., et al.
Published: (2024)

How Trustworthy Are LLM-as-Judge Ratings for Interpretive Responses? Implications for Qualitative Research Workflows
by: Han, Songhee, et al.
Published: (2026)

LLM and Agent-Driven Data Analysis: A Systematic Approach for Enterprise Applications and System-level Deployment
by: Wang, Xi, et al.
Published: (2025)

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
by: Huang, Yue, et al.
Published: (2025)

Trustworthy LLM-Mediated Communication: Evaluating Information Fidelity in LLM as a Communicator (LAAC) Framework in Multiple Application Domains
by: Rafi, Mohammed Musthafa, et al.
Published: (2025)

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
by: Oh, Sejoon, et al.
Published: (2024)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
by: Qian, Chen, et al.
Published: (2024)

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
by: Wang, Ling, et al.
Published: (2026)

SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems
by: Li, Peiran, et al.
Published: (2025)

Intrinsic Guardrails: How Semantic Geometry of Personality Interacts with Emergent Misalignment in LLMs
by: Aneja, Krishak, et al.
Published: (2026)