Shadow AI Is Already Inside Your Organization.
The Question Is Whether You Can See It.
Dito helps enterprise organizations establish the monitoring, governance, and traceability controls needed to secure AI usage across the enterprise — before ungoverned AI becomes your next compliance incident.
The same productivity shift that made AI impossible to ignore also made it impossible to contain. Employees are using AI tools your security team didn't approve. Developers are connecting MCP servers to business workflows your architects didn't design. Sensitive data is being sent to external models your compliance team didn't evaluate. This isn't a future risk to plan for. It's a present reality to govern.
Shadow AI Is the New Shadow IT —
and It's Moving Faster.
When shadow IT emerged, the risk was unauthorized software accessing corporate networks. The fix was discovery, policy, and enforcement. Shadow AI is the same problem at an order of magnitude greater scale and velocity.
A single employee can spin up an AI agent that connects to your CRM, your code repository, and your customer data — in an afternoon, without a ticket, without a review.
Absence of Traceability
Not knowing what AI is being used, what data it touched, what decisions it influenced, and whether those decisions can be audited.
Expanding Attack Surface
Adversaries are targeting AI itself via prompt injection attacks, model theft, and the weaponization of AI outputs.
Make Your AI Strategy Defensible — Not Just Deployable.
Dito partners with enterprise organizations to build AI governance frameworks that are operational from day one — not compliance documents that sit in a drawer. We bring together Google Cloud's security infrastructure, enterprise governance tooling, and Mandiant's AI red teaming expertise.
Our approach is structured around four governance imperatives: visibility into what AI is running, control over how it connects to enterprise systems, traceability of what decisions and outputs it produces, and policy enforcement aligned with NIST AI Risk Management Framework and Google's Secure AI Framework (SAIF).
Governance Phases
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1
Discovery & Inventory
Surface unauthorized tools, unsanctioned agents, and ungoverned workflows.
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2
Controls & Architecture
Design policies governing how agents connect to internal systems securely.
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3
Tracing & Enforcement
Implement monitoring, logging, and real-time prompt injection protection.
Governance That Scales With
Your AI Ambitions.
Shadow AI Discovery
Dito conducts structured AI discovery engagements to surface unauthorized tools, unsanctioned agent connections, and ungoverned workflows operating inside your environment.
MCP & Agent Connection Governance
Dito helps design and enforce policies governing how agents connect to internal systems via Model Context Protocol, what data they can access, and how they are audited.
Monitoring and Usage Traceability
We implement logging frameworks that create traceable records of AI usage — who is using which tools, what data they're accessing, and whether those interactions fall within policy.
Prompt Injection Protection
Using Google Cloud's Model Armor, we detect and block prompt injection attempts in real time — protecting AI agents from being manipulated into revealing sensitive data.
Framework Alignment: NIST AI RMF and Google SAIF
Regulatory exposure around AI is growing. Dito aligns your AI governance posture with the NIST AI Risk Management Framework and Google's Secure AI Framework — providing the documented, auditable evidence of responsible AI practices that regulators require.
Start With Visibility.
Build Toward Control.
Dito's AI Governance Assessment is a structured engagement that maps your current AI usage landscape, identifies the highest-risk exposure points, and delivers a prioritized governance roadmap. Understand what you're dealing with — before something else makes that decision for you.
