A Comparative Evaluation of AI Agent Security Guardrails
On the map: LLM safety and security → Prompt injection and agent security
Abstract (arXiv)
This report presents a comparative evaluation of DKnownAI Guard in AI agent security scenarios, benchmarked against three competing products: AWS Bedrock Guardrails, Azure Content Safety, and Lakera Guard. Using human annotation as the ground truth, we assess each guardrail's ability to detect two categories of risks: threats to the agent itself (e.g., instruction override, indirect injection, tool abuse) and requests intended to elicit harmful content (e.g., hate speech, pornography, violence). Evaluation results demonstrate that DKnownAI Guard achieves the highest recall rate at 96.5% and ranks first in true negative rate (TNR) at 90.4%, delivering the best overall performance among all evaluated guardrails.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Prompt injection and agent security, one of 12 directions in LLM safety and security. Builds on 6 of its 10 references that are in the map. First posted on arXiv 27 Apr 2026.
Builds on
6 of 10 references.
Closest ancestors · 1
Same direction, newest first
Other references · 5
- 2024SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Modelscited by 228
- 2024Controllable Preference Optimization: Toward Controllable Multi-Objective Alignmentcited by 107
- 2024ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teamingcited by 98
- 2026CSSBench: Evaluating the Safety of Lightweight LLMs against Chinese-Specific Adversarial Patternscited by 5
- 2025DeepKnown-Guard: A Proprietary Model-Based Safety Response Framework for AI Agentscited by 2
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Citing papers per year: 2026: 1.
1 paper.
Similar, not cited
Close in wording, no citation either way
- 2025LlamaFirewall: An open source guardrail system for building secure AI agents
- 2025ASTRA: Agentic Steerability and Risk Assessment Framework
- 2026AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
- 2026SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
- 2026Don't Make Models Guess Security and Safety: Symbolic Guardrails for Domain-Specific AI Agents
- 2026Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring
- 2025WebGuard: Building a Generalizable Guardrail for Web Agents
- 2025No Free Lunch with Guardrails