Service scope
Agentic Security Review
Mochavi reviews AI agents, MCP integrations, tool permissions, data access, approvals, guardrails, audit logs, and production readiness before production.
Best fit
For teams moving agents into execution.
The review is for engineering and security teams shipping AI agents, MCP/tool integrations, AI-powered workflows, internal automations, or systems with customer data access.
Review boundary
What gets reviewed
The focus is the execution layer: how agents act, what they can reach, and where production risk can emerge.
- Agent behavior and execution paths
- MCP integrations and tool permissions
- Data access and scope
- Prompt injection exposure
- Tool misuse risk
- Secrets exposure
- Human approval points
- Audit logs and observability
- Guardrails and production readiness
Inputs
What helps the review
Initial reviews can start from architecture, workflows, demos, and system descriptions. No code access is required to begin.
- Architecture diagrams
- Workflow descriptions
- Tool or MCP inventory
- Permission model
- Example agent tasks
- Deployment timeline
- Existing security concerns
Deliverables
What customers receive
The output is a concrete review artifact with findings, evidence, and prioritized next steps.
- Risk register
- Permission map
- Remediation plan
- Production-readiness assessment
- Prioritized findings and recommended next steps
Production readiness