A2A (Agent-to-Agent)
Communication where one agent delegates work to, or calls, another agent. Each hop has to carry identity and narrow scope. Or authority leaks down the chain.
Learn more: Agent Authorization
Part of the Agent Control Fabric: Highflame's identity, policy, and enforcement substrate for AI agents.
Keep exploring the glossary.
Adaptive guardrails
Runtime controls that tighten themselves as new signals and attack patterns emerge, instead of relying on static rules someone has to keep updating.
Read →Agent Control Fabric
Highflame's term for the identity, policy, and enforcement substrate that governs every agent action at every boundary it crosses: one layer, not a bundle of point tools.
Read →Agent governance
Controlling what an organization's agents are allowed to do and proving what they did: discover every agent, authorize each action against policy, and produce audit evidence. Distinct from AI governance's focus on model risk.
Read →Agent identity
A verifiable, cryptographic credential issued to an agent that carries agent-shaped claims (owner, trust tier, framework, delegation depth) so every action traces back to a named human.
Read →AI observability
Capturing and querying everything an agent does at runtime, LLM calls, tool calls, file and network activity, tied to identity, so you can ask why something happened and who did it, not just read logs.
Read →Attribute-based access control (ABAC)
Authorization decisions keyed to attributes (the agent's claims, owner, trust tier, and delegation depth) rather than shared keys or static roles.
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