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Adoption-aware security
AI use is reviewed in the context of how employees, contractors, and teams are actually adopting tools rather than how leaders assume they are using them.
About
Independent consulting for businesses adopting AI faster than governance is maturing.
My Secure Network is being positioned around a practical AI Security & Governance Readiness Sprint for SMB and mid-size organizations that need visibility, policy direction, and data-exposure awareness without hiring a large consulting team.
Approach
Calm, practical review for organizations where AI usage is real and oversight still needs structure.
The consulting model is designed for teams that are already experimenting with copilots, assistants, agents, AI-enabled SaaS features, and browser automation. Instead of treating AI as a vague future risk, the work starts with what is already happening inside the business.
That means identifying tools in use, understanding what data may be entering those systems, highlighting governance gaps, and translating the findings into practical internal policy and remediation guidance that a smaller organization can actually adopt.
02
Governance before sprawl
The goal is to introduce practical guardrails before AI usage, shadow tools, and agent workflows spread faster than internal oversight can keep up.
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Practical guidance
Reviews are meant to help teams decide what to approve, restrict, document, and monitor next without creating unnecessary bureaucracy.
Domain focus
Areas of focus across AI adoption, policy, and data governance.
ChatGPT, Copilot, and AI-enabled SaaS adoption review
Browser automations, agents, and workflow exposure analysis
Sensitive-data handling across prompts, uploads, and connected tools
Acceptable-use policy drafting and internal governance guidance
Remediation planning for access, browser, SaaS, and workflow controls
Monthly AI governance monitoring as adoption expands
Who this is built for
SMB and mid-size organizations moving quickly with AI but lacking clear internal policy
Healthcare, finance, legal, construction, engineering, and MSP-linked teams with sensitive-data concerns
Leaders who need a practical readiness review before AI adoption becomes harder to govern
Example deliverables
Focused findings summary for leadership and operations teams
AI usage inventory with data-exposure and governance observations
Draft acceptable-use policy and prioritized remediation roadmap