Where governed execution matters most
ProvnAI is designed for teams that need stronger control when autonomous systems touch infrastructure, data, and regulated workflows.
Internal copilots and knowledge agents
Prompt injection and unsafe retrieval can turn a helpful internal assistant into a data-leak or policy-bypass vector.
McpVanguard inspects inbound MCP requests and selected server metadata before execution, with deterministic enforcement at the tool-call boundary.
Stronger control over tool use and lower exposure to context-driven hijacking.
Cloud and platform agents
Agents with network or shell access can be redirected toward internal systems, metadata endpoints, or unsafe file paths.
Policy controls enforce network egress controls, filesystem path boundaries, and execution constraints before requests reach sensitive surfaces.
Tighter operational boundaries for agents embedded in real infrastructure.
Regulated workflows and approvals
Teams need more than model logs when decisions affect transactions, records, or regulated operations.
VEX Protocol wraps governed actions in reviewable evidence that can support governance, audit, and post-incident review.
Better documentation, stronger reviewability, and clearer accountability for actions that matter.
Multi-agent orchestration
As tasks move between agents, authority can drift and tool access can expand in ways teams did not intend.
Governed execution makes permission boundaries explicit and keeps enforcement outside the model's own reasoning path.
Stronger separation of responsibility across more complex agent systems.
Ready to secure your AI infrastructure?
We work with teams that need a cleaner control model for agent systems before their agents act on real systems.