Agent Egress Bench: A Test Corpus for AI Agent Egress Security Tools

This article introduces Agent Egress Bench, an open-source test corpus designed to evaluate security tools that monitor traffic between AI agents and external networks. Unlike existing benchmarks that test the LLM itself (e.g., for prompt injection resistance), this corpus tests the network security layer—proxies, firewalls, and MCP wrappers—that should block malicious traffic after a model has already failed or been tricked. The corpus contains 72 test cases across 8 categories, including URL and request body DLP, response injection, and MCP-specific attacks (input scanning, tool poisoning, and chain detection). Each case is a self-contained JSON file with an attack payload and expected verdict. The project includes a validation tool and a runner framework for integrating with any security solution. It is not a leaderboard; each tool publishes its own results. The corpus maps to the OWASP Top 10 for Agentic Applications and is available under an Apache 2.0 license. 

https://pipelab.org/blog/agent-egress-bench-benchmark-corpus

Comments

Post a Comment

Popular posts from this blog

Prompt Engineering Demands Rigorous Evaluation

In the blog post “Prompt Engineering Requires Evaluation” on the Shostack + Associates website, the author argues that treating prompts for large language models (LLMs) merely as creative artefacts is insufficient. Engineering prompts properly demands structured evaluation frameworks — what the AI community calls “evals” — to test which prompt versions work better, with which models, and under which conditions. The post highlights that simply assuming a prompt is “good enough” creates risks when LLMs are integrated into production systems (e.g., for threat modeling). It advocates for measuring prompt performance, variation effects, and tool-chain dependencies (model, context, ancillary materials).  Ultimately the message is: prompt engineering should borrow disciplined practices from software engineering (versioning, testing, benchmarking) rather than relying on informal experimentation.  https://shostack.org/blog/prompt-enignieering-requires-evaluation/
Read more

Open-SPDD proposes an open framework for Spec-Driven Development workflows

Open-SPDD is an open-source project focused on Spec-Driven Product Development, aiming to formalize how software specifications, requirements, architecture, and implementation interact throughout the development lifecycle. The project promotes structured specification management, traceability, and AI-assisted engineering workflows, positioning itself as a foundation for “SpecOps”-style development practices. Its GitHub materials describe SPDD as a way to reduce ambiguity between planning and execution by treating specifications as first-class operational artifacts that can drive automation, validation, and collaboration across engineering teams  https://github.com/gszhangwei/open-spdd
Read more

OWASP ASVS 5.0 Released - Key Updates and What You Need to Know

The OWASP Foundation has released version 5.0 of the Application Security Verification Standard (ASVS), a major update to their security framework for web applications. This new version features restructured security requirements for better clarity, expanded guidance for cloud and API security, improved DevSecOps integration for CI/CD pipelines, updated threat modeling support, and enhanced compliance mapping with standards like NIST and PCI DSS. ASVS serves as a critical benchmark for developers building secure applications, penetration testers conducting security assessments, and auditors performing compliance reviews.  The standard is available for download from the OWASP ASVS project page, with organizations encouraged to integrate it into their software development lifecycles through code reviews and security testing tools. As a vendor-neutral, community-driven project, OWASP continues to welcome contributions to further develop the standard. This release represents an importa...
Read more