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LLM Security Best Practices 2025


(@natoma)
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Joined: 5 months ago
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Read the full article here: https://www.natoma.id/blog/securing-your-llm-infrastructure-best-practices-for-2025?source=nhimg.org

In 2025, LLMs have moved from experimental tools to core parts of enterprise infrastructure—automating contracts, supporting customers, and driving real-time decisions. But this rise also brings new security risks: from prompt injection attacks and leaked secrets to rogue AI agents and poisoned retrieval pipelines.

This guide outlines the modern LLM threat landscape, then walks through practical, architecture-level solutions for securing your AI workflows.

Key takeaways include:

  • Every AI agent is a non-human identity (NHI) and must be governed as such

  • Zero trust principles are non-negotiable, every interaction must be verified and traceable

  • Static API keys are out. Ephemeral, scoped credentials are in

  • Prompt hygiene, behavior logging, and policy enforcement must be baked into your LLM stack

Central to all of this is the Model Context Protocol (MCP), a framework for safely connecting models with tools, enforcing access policies, and maintaining full observability. Natoma’s Hosted Remote MCP provides this out of the box, handling identity, secrets, RBAC, and secure agent orchestration—without slowing down innovation.

With agentic AI systems growing more autonomous and powerful, LLM security must now be proactive, automated, and by design.

Natoma helps teams future-proof their AI infrastructure—building trust at every step.

 


   
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