Get ahead of AI risk. Shadow AI assessment, Copilot governance, LLM security. 25+ years of security expertise applied to emerging AI risks. $20K-$50K fixed projects.
Managing risk in a rapidly evolving landscape
45% of your workforce is already using unapproved AI tools (shadow AI). You're likely using Copilot without formal security policies. Regulators are moving fast (EU AI Act, executive orders). AI governance means creating policies, assessing risks, and ensuring responsible usage.
• Shadow AI discovery & assessment
• Copilot & LLM security policies
• Data privacy in AI systems
• Prompt injection risks
• Model accuracy & bias
• Compliance & regulatory readiness
This isn't optional anymore
Employees using ChatGPT, Claude, Copilot to speed up work. Pasting sensitive data into public AI. You have zero visibility and zero control.
EU AI Act is live. Executive orders on AI are coming. Investors will ask "How do you govern AI?" in due diligence.
If employees paste customer data into ChatGPT, you have a compliance and privacy incident. AI governance prevents this.
You're probably using Copilot in Teams, Office, GitHub. Do you have security policies? Access controls? Audit logs? Probably not.
4-8 week roadmap to responsible AI usage
Identify shadow AI in your environment. Audit Copilot usage. Assess data exposure risks. Understand current practices.
Build AI governance roadmap. Create AI usage policies. Define what's approved, restricted, prohibited. Identify technical controls needed.
Communicate policies to team. Enable monitoring on Copilot. Implement DLP (data loss prevention) rules. Train leadership on governance framework.
Monitor usage. Adjust policies based on real data. Prepare for audits. Document governance for investors/regulators.
Real result from a growth-stage SaaS company
Company: Series B SaaS, 150 employees
Problem: CEO asked "How much of our company data is being fed into AI tools?" No one had an answer. Discovered marketing was pasting customer feedback into ChatGPT. Support was using ChatGPT for code. No governance, no controls, high risk.
• Conducted shadow AI assessment across all departments
• Mapped data exposure risks
• Built AI governance framework and policies
• Implemented Copilot monitoring and controls
• Created employee AI usage guidelines
✓ Shadow AI visibility achieved — Identified all unapproved tools being used
✓ Data exposure eliminated — Implemented DLP rules to prevent sensitive data in AI
✓ Investor-ready governance — Series C diligence now includes strong AI governance story
Proven security governance applied to AI risk management and Copilot governance
Shadow AI discovery. Risk assessment. Current Copilot usage audit. Compliance gap analysis. Roadmap with recommendations.
Assessment + policy creation + technical control implementation + DLP setup + employee training + monitoring framework.
End-to-end: assessment, framework, implementation, Copilot governance, ongoing monitoring, quarterly reviews, investor readiness.
Common questions answered
In 2024-2025, 40-60% of employees are using unapproved AI tools. Most companies have zero visibility. It's widespread and growing.
AI safety is about preventing AI from causing harm. AI governance is about creating policies and controls around AI usage. We focus on governance.
You can try, but employees will use them anyway (shadow AI). Better approach: govern approved usage, control data exposure, set clear policies.
OpenAI's free tier shares data for training. Enterprise versions have different terms. We'll review your specific needs and recommend approved AI tools with proper data handling.
Investors in 2025 will ask "How do you govern AI?" Having a governance framework + policies + controls is now part of Series B+ diligence.
Get ahead of the curve. Let's build your AI governance framework.