Services

Security-led engineering for systems that matter.

Mochavi works at the execution layer — the boundary where software acts on tools, data, and customer systems. We review what is already running and build what comes next with the same discipline.

Flagship

Agentic Security Review

Our flagship engagement. A focused review of AI agents, MCP integrations, tool permissions, data access, approvals, and guardrails before they reach production.

  • Agent behavior and execution paths
  • Tool and MCP permission mapping
  • Data access and leakage exposure
  • Approvals, audit logs, and guardrails
Explore the Agentic Security Review

Sensitive System Review

Security and design review for production systems that touch customer data, credentials, payments, or business-critical workflows.

  • Trust boundaries and data flow
  • Authentication and authorization paths
  • Secrets, access scope, and blast radius
  • Logging, audit, and incident readiness

Secure Engineering & Tooling

Designing and building developer tooling, internal systems, and automations where data handling and correctness are non-negotiable.

  • Local-first and privacy-respecting design
  • Internal tools and workflow automation
  • Hardening of existing systems
  • Pragmatic, reviewable implementations

AI & Automation Implementation

Putting AI features and automation into real systems with the execution-layer controls they need to be trusted in production.

  • Agent and workflow integration
  • Scoped tool and data permissions
  • Human approval and oversight paths
  • Observability from day one

How we work

Engagements built to be useful.

Review and build under one practice

The same people who assess a system can help fix or build it. Findings turn into working changes, not a PDF that sits unread.

Scope before code

Engagements start from architecture, data flow, and intent. We map the execution layer first, so effort lands where the real risk is.

Concrete artifacts, not theatre

You get a risk register, permission map, and prioritized remediation — evidence you can act on and share internally.

Work with Mochavi

Have a system worth securing?

Bring us an AI agent, a sensitive production system, or a tool you need built right. We start by understanding the execution layer.

The Agentic Security Review is the sharpest place to start, and we are currently accepting a small number of pilot reviews for teams deploying agents into real workflows.

AI agentsMCP integrationsTool permissionsPrompt injectionData leakageAudit logsHuman approvalProduction readiness
See the flagship review Discuss a project