Kindo
SOC for AI · Governance Demo
Proof of Concept · Sprint 1

SOC for AI.

Proof of concept demonstrating automated governance monitoring — built in 48 hours from Kishore's requirements.

Defined by Deloitte's SOC for AI team
Five governance objectives

Based on Kishore's Requirements

1 Detect unauthorized agent deployment & updates
2 Detect unauthorized integration & data source connections
3 Detect behavioral drift from SOPs over time
4 Detect guardrail & policy changes
5 Detect cross-tenant data contamination
286
Agents Cataloged
45
Integrations
14
High-Risk Sources
6.8/10
Risk Score
Demo Results
What this proves
Proved
Agent Inventory & Detection
286 agents cataloged. 2 new agents flagged in 48h. Unnamed agent with full permissions identified.
Proved
Tool & Data Source Mapping
45 integrations classified by risk. Snapshot inventory of every connection the platform exposes.
Awareness
Drift & Guardrail Detection
Static config analysis — agents with broad permissions, missing lifecycle policies.
Awareness
Cross-Platform Governance
Compared governed models against external AI platforms. Found 3 ungoverned models accessible outside the framework.
Proved
Platform as Governance Hub
The platform has the telemetry. An agent can collect, analyze, and produce governance reports automatically — no manual work.

Proven concept.

Built in 48 hours from Kishore's requirements. Proof of concept — ready for your team's direction on what comes next.

Kindo

Kindo × Deloitte — AI Governance Demo · July 2026