LLM Security - Secure LLM Apps and Agents in Production
LLM security is not a model setting. It is a runtime control plane that inspects inputs, constrains actions, and records what happened, in front of every LLM app you ship.
Direct answer
LLM security is the practice of protecting applications and agents built on large language models from attacks like prompt injection and data exfiltration, and from the risks of giving a non-deterministic model real capabilities. Agentshield delivers LLM security at runtime: it blocks prompt injection, applies data-loss prevention, enforces least-privilege tool and data permissions, and writes an immutable audit trail. It maps to the OWASP Top 10 for LLM Applications, the canonical risk taxonomy for this space.
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Inspection lane
INSPECTINGPolicy trace
High-risk action held for approval
Audit trail
- § · → → →
The risk
LLM apps read untrusted text and then act, so a single poisoned input can hijack the app, leak data, or trigger a destructive action with no record of how it happened.
How Agentshield handles it
Agentshield wraps your LLM app as a control plane. It treats every external input as untrusted and inspects it, classifies and gates sensitive data on egress, restricts which tools and resources the app may use, and logs every action immutably for review and compliance. You keep your model and framework and add the security layer in front.
The controls