LLM firewall
A checkpoint in front of a model that inspects prompts and responses for injection, sensitive data, and unsafe content. It guards the model's edge, not the agent's actions behind it.
Learn more: LLM Firewall
Part of the Agent Control Fabric: Highflame's identity, policy, and enforcement substrate for AI agents.
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LLM security tools
The stack that protects LLM applications: input/output filters, firewalls and gateways, runtime enforcement, red teaming, and observability. No single tool covers all five.
Read →MCP (Model Context Protocol)
An open protocol that connects agents to external tools and data. Powerful for capability. But every connection is a new access path that has to be governed.
Read →MCP Gateway
A governed checkpoint every tool connection passes through (authenticated, policy-checked, and logged) so credentials stay central and unapproved servers can't connect.
Read →Mission drift
When a non-deterministic agent gradually diverges from its intended task. Tracked at runtime so it can be contained before consequences land.
Read →Non-human identity (NHI)
Identities belonging to machines, services, and agents rather than people. Agents are the fastest-growing and least-governed class of NHI.
Read →On-behalf-of (OBO) chain
The unbroken provenance recorded on a credential (who authorized the action, what scope was granted, and how deep the delegation goes) so an audit walks back to a human.
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