AI tools are accessing your systems. MCP made that possible. Nobody built the governance layer — until now.
Resource-Managed Control Protocol is the security and governance layer that sits between AI tools and your enterprise systems. It doesn't replace AI access — it governs it.
RMCP defines what each AI tool, agent, or model is allowed to access. Data classification, system boundaries, and permission scopes are enforced before any action occurs — not after.
High-risk actions are staged for human review. RMCP shows the blast radius, impact analysis, and before/after diff before anything executes. Humans stay in control of critical decisions.
Every AI action generates an immutable decision trace — who requested it, what was analyzed, what was generated, who approved it, and what happened. Complete audit evidence, automatically.
RMCP doesn't just recommend — it enforces. Semantic policies define rules, conditions, and effects. Violations are blocked in real-time. Compliance isn't optional.
MCP and similar protocols let AI assistants read your files, query your databases, access your APIs, and execute commands across your infrastructure. This created incredible automation potential.
AI tools gained access to customer data, credentials, source code, financial records, and confidential business information — with no classification controls, no approval workflows, and no audit trail.
What data did the AI access? Who authorized it? Is there an audit trail? Can we prove compliance? What's the blast radius if something goes wrong? Can we roll back?
Resource-Managed Control Protocol provides the governance layer that MCP left out. Boundaries, approvals, logging, enforcement, compliance evidence, blast radius estimation, and rollback — all built in.
Every action in RMCP follows a governed lifecycle. Nothing executes without passing through every stage.
A user or system describes what they need. "Write a network isolation policy." "Rotate credentials for the production service account." RMCP classifies the intent by risk level and required capabilities.
RMCP analyzes the request against your environment context, data classification policies, and compliance requirements. It estimates the blast radius and identifies everything that would be affected.
The security agent generates the required artifacts — YAML manifests, semantic policies, compliance documents, decision traces. Everything is structured, typed, and production-ready.
High-risk actions are staged for human approval. The reviewer sees the full diff, blast radius, impact analysis, and rollback path before making a decision.
Approved policies are enforced through RMCP's semantic policy engine. Every enforcement action is logged, timestamped, and linked to the original decision trace.
RMCP automatically generates compliance evidence — audit trails, decision traces, enforcement records, and rollback artifacts. Always ready for auditors.
RMCP semantic policies go beyond simple allow/deny rules. They understand intent, context, risk, and business impact.
Policies are written in terms of intent — "enforce least-privilege access for production workloads" — not low-level configuration details.
The same action can have different risk levels depending on the namespace, time of day, user role, and data classification involved.
Every action is scored for risk based on its blast radius, data sensitivity, and compliance implications — driving approval routing automatically.
Every policy generates its own documentation, decision trace, and compliance evidence. No separate documentation process needed.
Full version history with diff capability. Roll back to any previous version. See who changed what and why at every point in history.
Create base policies that child policies inherit from. Change the parent template and all children update across your organization.
BLCK-BRT is the AI agent that operates within RMCP's governance framework. It has the intelligence to generate security artifacts and the discipline to follow the rules.
Every capability is defined with execution contracts, risk levels, connector requirements, and upstream/downstream dependencies. Nothing is ad-hoc.
Capabilities span Core Intelligence, Threat Intelligence, Autonomous Response, Access & Identity, Runtime Protection, AI Security, and more.
Every action BLCK-BRT takes follows the RMCP lifecycle. Nothing bypasses governance. Nothing executes without a decision trace. Nothing happens without evidence.
MCP gave AI the keys. RMCP decides which doors stay locked.
Launch BLCK-BRT