MarkTechPost published a guide to protecting AI agents, MCP servers, and applications based on large language models in production environments. The description states that such systems call into question the basic assumption of applied security: the application behaves as its code prescribes.
The guide offers the 'see — fix — protect' approach. It includes a five-level attack surface map, a 12-configuration-error checklist, a evidence-based prioritization matrix, runtime protections, and strengthening system prompts.
It also claims a maturity self-assessment aligned with NIST AI RMF, OWASP AIMA, ISO/IEC 42001 and the EU AI Act. The available package does not include the full text of the publication, incident examples, or data on practical testing of these recommendations.
editorial commentary
Why it matters
If the described framework is put into practical use, the next observable signals will be detailed implementation examples, measurable results, or independent assessments. For now, substantial uncertainty remains: only the publisher's synopsis is available without the full text and additional verification.