MCP Security Testing Guide
Tool-vendor recipes for testing MCP integrations, including tool poisoning and data-exfiltration scenarios. Adapt the examples to your deployment.
AN INDEPENDENT MAP OF AI SECURITY
Original research, practical guides, and trusted starting points. A smaller, more useful way into AI security.
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Tool-vendor recipes for testing MCP integrations, including tool poisoning and data-exfiltration scenarios. Adapt the examples to your deployment.
Practical testing recipes and open-source tooling documentation from the tool vendor, useful for constructing repeatable application evaluations.
Anthropic describes browser-agent defenses and its own evaluations. Useful for understanding layered controls and remaining risks, with vendor-reported results.
An adversarial AI knowledge base of tactics, techniques and case studies for threat modeling and investigation.
Model-provider research on agent behavior, evaluations and defenses. Read reported results as vendor experiments with stated conditions.
First-party planning guides, lessons and tooling from Microsoft’s AI Red Team, useful for scoping and running assessments.
Microsoft’s planning guide covers assessment scope, people and process. Useful before selecting automated attack tooling or defining evaluation goals.
The maintainers’ structured ATLAS data supports threat-model lookups and agent workflows. Preserve technique identifiers and linked case-study provenance.
Find recent security preprints and original papers. A posting is not peer-review approval; inspect methods, revisions and linked artifacts.
Trail of Bits describes using AI agents to build auditing tools and formal models for a Miden VM security review. Useful for exploring AI-assisted audit workflows.
Wiz Research article on an autonomous red-agent exercise involving a GitHub Actions injection in a Copilot-assisted pull request and an assessment of access to internal Jira.
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