Security Best Practices — MCP 2026-07-28
Versioned protocol guidance for authorization, token handling, SSRF and local-server risks. Start here when implementing an MCP service.
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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Versioned protocol guidance for authorization, token handling, SSRF and local-server risks. Start here when implementing an MCP service.
The protocol maintainers’ documentation is the starting point for MCP authorization requirements and transport security behavior.
A practical review checklist for MCP trust boundaries, authentication, tool access and deployment controls. Pair it with the protocol specification.
Community security guidance, risk taxonomies and implementation resources. Use the stated edition when comparing framework entries.
A concise practitioner framework for recognizing agent data-exfiltration risk. Useful for deciding which capabilities should be separated.
Trail of Bits demonstrates how malicious tool descriptions can influence an agent before invocation. A useful threat-modeling case study.
Explains why conventional injection analogies can mislead defenders, then discusses constraining agent capabilities and managing residual risk.
Original vulnerability research and audit engineering from a commercial security firm, with technical examples and project links.
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.
Wiz reports observations from its AI-service honeypots, including exposed MCP services. Treat the telemetry as this vendor’s sampled observations.
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.
An early original paper demonstrating indirect prompt injection through retrieved content. Read the experimental setup and later revisions before generalizing.
Independent practitioner explanations and experiments on prompt injection and agent design; distinguish demonstrations from general guarantees.
Cloud-security vendor research covering AI infrastructure exposures and exploit chains. Separate disclosed observations from product marketing.
Government guidance for secure AI development across design, deployment and operation, with practical lifecycle considerations.
The maintainers’ structured ATLAS data supports threat-model lookups and agent workflows. Preserve technique identifiers and linked case-study provenance.
An OWASP-hosted editorial roundup linking reported incidents and research. The page states it is neither exhaustive nor an official OWASP publication.
Find recent security preprints and original papers. A posting is not peer-review approval; inspect methods, revisions and linked artifacts.
Analyzing model input and output logs in an AI-native detection pipeline to understand and uncover malicious AI agent behavior.
Engineering article on the multi-agent pipeline and feedback loops Wiz used to turn a bucket scanner into an AI-powered data discovery context engine.
OWASP GenAI Security Project announces its 2026 Top 10 for LLM Applications, a new Agent Control Standard, and additional resources for securing generative and agentic AI.
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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