Bring your systems. Add an authority layer.
Hood is designed to fit between existing intelligence and the effects it can cause. Keep the models, applications and infrastructure you already use; govern the consequential boundary.
Control agent actions
Separate agent capability from permission to use tools, credentials and systems.
Govern autonomous operations
Apply authority and evidence to machine-speed workflows and autonomous systems.
Govern mission systems
Make consequential operations explicit, inspectable and evidence-producing.
Verify real-world assets
Maintain persistent identity, lifecycle, provenance and evidence across physical assets.
Produce scientific evidence
Structure evidence and decision records around scientific and regulated workflows.
Govern AI infrastructure
Control high-impact actions around compute, data centers and connected infrastructure.
Keep your intelligence stack. Govern the action path.
Models, planners, retrieval, memory, MCP servers, APIs and operational systems can remain in place. Hood adds a governed path at the point where intelligence becomes a consequential effect.
A modern AI stack is more than a prompt and a model.
Hood is designed to work around the systems enterprises are already assembling instead of forcing them to replace their intelligence stack.
Models and planners
LLMs, multimodal models, planning loops and agent reasoning can propose actions while authority remains separate.
Retrieval and memory
RAG, vector search, enterprise knowledge and durable context inform the task without automatically expanding permissions.
MCP, tools and APIs
Tool ecosystems and connected applications create capability. Hood focuses on what those connections are allowed to cause.
Software and physical systems
Cloud, payments, enterprise systems, robotics, scientific workflows and other consequential targets can sit beyond the authority boundary.