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LumiMCP

LumiMCP secures MCP and Agentic AI workflows with an inline proxy that enforces identity, audits every tool call, and governs data leakage, prompt-injection and privilege risks—so teams can adopt external tools without losing visibility or control.
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LumiMCPMCP security platformAgentic AI securitySecureMCP proxyAI agent call auditprompt injection protectionPII redaction MCPMCP risk assessment service

Features of LumiMCP

Inline proxy between model and external tools/APIs for real-time security control
Enforced identity & access control to block unauthorized calls
Per-call audit logs for instant traceability and post-mortem analysis
Automatic blocking of anomalous or unapproved requests
Built-in PII detection and redaction for sensitive-data governance
Guards against prompt injection, tool poisoning and other agent-level threats
Token isolation and credential-protection best practices
Fast and deep-dive risk assessments with prioritized fix roadmap
Staged rollout: discover → assess → govern → operate
Customer portal + expert advisory for docs, reports and joint planning

Use Cases of LumiMCP

Establish a unified audit trail when AI agents connect to internal systems
Give security teams a quick way to spot high-risk MCP integrations
Enforce least-privilege boundaries in multi-tool agent workflows
Redact sensitive data and retain compliant logs during tool calls
Detect and trace rogue or over-privileged agent activity
Build a phased governance roadmap while rolling out Agentic AI infrastructure
Surface network-boundary and lateral-movement risks during architecture reviews
Generate auditable evidence for compliance and certification prep

FAQ about LumiMCP

QWhat is LumiMCP?

LumiMCP is a security and governance platform purpose-built for MCP and Agentic AI environments, delivering proxy-level protection, call-level auditing and continuous risk management.

QWhich problems does LumiMCP solve?

It addresses identity control, unauthorized tool calls, data exfiltration, prompt injection and audit-trail gaps that appear when AI agents consume external tools.

QWhat does the SecureMCP Proxy do?

The proxy sits between the model and any external tool/API to enforce access policies, log every call, block malicious requests and apply data-protection rules in real time.

QDoes LumiMCP offer risk-assessment services?

Yes—quick readiness checks and deeper infrastructure reviews are available, both delivering prioritized findings and an implementation roadmap.

QWho should use LumiMCP?

Security, platform-engineering and governance teams that are deploying Agentic AI and need systematic, policy-driven controls.

QIs full audit-trail and traceability supported?

Absolutely—every tool call is logged with immutable metadata for incident response, governance reviews and compliance evidence.

QHow do I get started or talk to an expert?

Book a discovery call, log into the customer portal, or reach out via email/form; engagements follow a standard discover-assess-plan-implement flow.

QWhere can I see pricing or editions?

Public pricing is not listed; contact the LumiMCP team for a quote matched to your deployment model and service scope.

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