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Building AI Agents with MCP: Architecture, Security, and Enterprise Deployment
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Governance & Compliance

The CISO can finally say yes.

Built for the team that needs to approve AI adoption without losing visibility, control, or sleep.

Illustration of two sheriff figures overseeing a construction site where two workers handle logs, with a wooden foundation frame and trees in the background.

The Problem Today

Your teams already have agents running. The question is whether you have any control over what they're doing. Every week without governance, the risk grows.

Willow closes every one of these risks.

Ungoverned access

Personal credentials, no audit trail, no accountability.

Malicious skill injection

Unauthorized skills added without security review.

Shadow AI
infrastructure

Rogue MCPs, unapproved connections, entire workflows outside IT awareness.

Compliance exposure

No immutable logs, no approval records, no auditor-ready answers.

Over-permissioned

Broad system access, one hallucination away from a serious incident.

Features

App-aware permissions 

Not "can this agent connect to GitHub" but can it read code, write code, create branches, merge PRs, delete repositories. Every action explicitly permitted or denied. Least privilege enforced at runtime.

Approval workflows

Sensitive actions require human sign-off before execution. Requests surface in Slack, full context, one click to approve or deny. New skills are evaluation-gated before production. Governance built in, not bolted on.

Endpoint sensors

Surfaces every tool and skill in use, including unapproved ones. Shadow MCP servers. Rogue connections. Personal API keys still running. Flag it, block it, or bring it into Willow.

Audit trails

Every interaction logged. Every tool call recorded. Every approval captured. Immutable, timestamped, queryable. Integrated with Splunk, Loki, and Grafana. Answer any auditor question in minutes, not days.

PII protection

Automatic detection and scrubbing of personally identifiable information before it reaches the agent context window. Configurable by data type, tool, and team.

Compliance reporting

Pre-built exports for SOC 2, GDPR, HIPAA, ISO 27001. Leadership visibility into AI adoption, ROI, and risk posture.

Guardrails

Policy enforcement at the execution layer. Agents that hit a guardrail are stopped, logged, and flagged for review.

The Permissions Model Three levels. Total coverage.

Connection

Can this agent connect to this tool?

Action

What can this agent do inside this tool?

Context

Under what conditions, for which data, with which approval requirements?

Most platforms handle the first level. Willow handles all three.

Built for Those Managing the whole Forest

CISO

Zero-trust auth, app-aware permissions, PII protection, immutable audit trails, shadow discovery, compliance reporting.

IT Team

Slack-native approvals, SCIM auto-provisioning, endpoint sensors, self-serve employee onboarding. Fewer tickets. More visibility.

Compliance

SOC 2 Type II certified. Full audit logs queryable and exportable. Answerable to any auditor, any framework.

Security and deployment your way.

Deployment Options SaaS

Fully managed. SOC 2 Type II. Up in minutes.

Self-hosted

Your cloud. AWS, GCP, Azure.

On-prem / Air-gapped

Full isolation for regulated industries.

Your agents are already in the wild.

Give them a Basecamp. Go from AI chaos to AI work, in minutes.