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
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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.
The published 2026 edition and its canonical source links. Use the edition label when mapping risks or comparing earlier assessments.
An adversarial AI knowledge base of tactics, techniques and case studies for threat modeling and investigation.
NIST AI 600-1 organizes generative AI risks and suggested actions, including data privacy and information security, for governance planning.
Government guidance for secure AI development across design, deployment and operation, with practical lifecycle considerations.
Official risk-management publications and version updates. Useful for governance planning, rather than as a product certification.
The maintainers’ structured ATLAS data supports threat-model lookups and agent workflows. Preserve technique identifiers and linked case-study provenance.
A Trail of Bits post presenting a critical examination of 1Password's AI patching benchmark and arguing that it is misleading.
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.
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.
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