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AI Governance

AI Safe Use for Your Business

AI tools are transforming how businesses operate. But when AI connects to your email, files, and customer data, it creates real security responsibilities. This guide helps you use AI productively while keeping your data protected.

78%
Businesses Using AI
SMBs now deploying AI tools daily
63%
Security Concerns
Organizations reporting AI-related risks
Why It Matters

AI reads everything you give it access to.

When you connect an AI assistant to your email, file storage, or customer databases, you grant it broad access to confidential business records, client personal data, financial documents, and proprietary information. Unlike traditional software that performs specific, limited functions, AI systems search, analyze, and synthesize across multiple sources.

A single compromised prompt, a phishing attack that tricks an employee, or a misconfigured integration can expose years of sensitive communications. The good news: AI security does not require complex technical expertise. Five core rules and straightforward controls can significantly reduce your risk.

Foundation

The 5 Essential AI Security Rules

Each rule addresses a specific vulnerability that attackers or accidents could exploit. Apply these across all AI tools your team uses.

Rule 1

Least Access Wins

Only connect AI to the minimum apps and folders needed for the task. If it only needs marketing docs, it should not have access to HR files, financials, or customer databases.

Rule 2

Separate AI Accounts

Use a dedicated AI workspace account, not a global admin or your main inbox. Create service accounts with limited privileges that can be monitored, audited, and revoked if compromised.

Rule 3

No Secrets in Prompts

Never paste passwords, MFA codes, SSNs, bank info, tax docs, private keys, or medical details into AI prompts. AI platforms often retain conversation history and may use inputs for training.

Rule 4

Treat Unknown Content as Hostile

Do not run AI summaries or automations on external content without a quick human review. Attackers can craft emails or documents to manipulate AI into revealing sensitive information.

Rule 5

Log It and Review It

Turn on audit logs and review AI connected access monthly. Monitoring provides visibility into what AI tools are accessing, when, and on whose behalf. Regular reviews catch anomalies early.

The 3-P Framework

People, Permissions, Privacy

Our framework for AI guardrails and assurance. Three categories, each with actionable controls your team can put in place today.

People

Train the team on the 5 AI security rules
Name an owner for AI access approvals
Set a monthly review date for AI connections and permissions
Create an incident response contact list
Document your AI tool inventory

Permissions

Use a dedicated "AI Service" user account
Remove admin roles from the AI account
Limit access to one shared folder, not the whole drive
Limit mailbox scope to one mailbox, not all mail
Use Conditional Access where available
Require MFA, block legacy auth

Privacy (Data)

Create an "AI Work Zone" folder
Move only approved docs into that folder
Do not store client regulated data unless approved and encrypted
Review folder contents quarterly
Document what data is AI-accessible
AI Readiness

Is Your Business Ready for AI-Enhanced Cybersecurity?

Five categories every business should evaluate before adopting AI tools. Each area builds on the last.

1 Cybersecurity Foundation

  • Enable MFA across all critical cloud services (M365, Google Workspace)
  • Deploy endpoint detection and response (EDR/XDR) on all devices
  • Conduct vulnerability scans and security assessments on a regular schedule

2 Compliance and Risk Visibility

  • Identify which regulations apply to your business (HIPAA, PCI, GLBA, CMMC 2.0)
  • Maintain documentation for security and compliance practices
  • Review access permissions and user roles on a regular basis

3 Operational Readiness

  • Ensure reliable internal or outsourced IT support is in place
  • Document your incident response and disaster recovery plan
  • Require regular risk and security reviews from your MSP or IT partner

4 AI Understanding and Infrastructure

  • Build team familiarity with generative AI concepts and capabilities
  • Test AI tools in controlled, limited-scope environments before broad rollout
  • Confirm your systems (hardware and software) support cloud-based AI applications

5 Growth and Change Readiness

  • Plan how AI fits into your business expansion over the next 12 months
  • Identify routine workflows that automation could streamline
  • Explore how AI can improve client response times, accuracy, or service delivery
Incident Response

If You Suspect a Data Leak

Most breaches get worse because nobody had a plan. These five steps should be documented, printed, and accessible to every person on your team before an incident happens. Quick, decisive action limits damage.

1

Disconnect

Disconnect the AI tool or connector immediately. Stop the bleed before assessing the damage.

2

Reset Access

Reset passwords, revoke active sessions, and disable the compromised account until cleared.

3

Review Logs

Check audit logs for file access, mailbox activity, and data export patterns. Document everything.

4

Notify Leadership

Alert your IT owner, security advisor, and leadership team. The clock starts on notification obligations.

5

Follow Protocol

Execute your incident response plan. If client or regulated data is involved, follow your notification and reporting obligations.

Don't have an incident response plan? That's one of the first things we build during a Cyber Risk Assessment.

Ready to use AI safely?

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