AI Security for Small Teams
AI security tools and playbooks for small teams
Evaluate ChatGPT, Claude, Cursor, AI agents, meeting bots, and browser extensions before your customer data, source code, or internal files become the test environment.
Classify sensitive prompts before employees use general AI tools.
Review page access, clipboard access, and connected accounts.
Use managed accounts, retention controls, and role-based access.
Set consent, retention, and external sharing rules before rollout.
MVP focus
Practical decisions, not security theater.
Cybergiz is built for founders, operators, and technical leads who need a usable AI security baseline without buying an enterprise GRC platform.
Reviews
Data handling, admin controls, evidence, and small-team recommendations for AI tools.
Playbooks
Step-by-step policies for customer data, employee AI use, plugins, and meeting bots.
Checker
A local-only risk score that turns AI tool usage into concrete safeguards.
Topic Hubs
Follow a complete AI security workflow
The strongest Cybergiz guides are grouped into workflow hubs so small teams can move from a risk question to an approval record, policy, checklist, and rollout rule.
Customer Data
ChatGPT customer data security
Approval forms, retention rules, connector checks, and support-team policies for using ChatGPT with customer data.
Meeting Bots
AI meeting bot security
Policies for recording, transcribing, summarizing, retaining, and sharing AI meeting-bot output in small teams.
Developer AI
Cursor AI developer security
Rules, permission boundaries, inventory templates, and review gates for AI coding tools and terminal-capable agents.
Browser Extensions
AI browser extension permissions
Permission reviews, approval rules, and employee guidance for AI browser extensions that can see pages, clipboard data, Gmail, Docs, or CRM tabs.
Template Library
Copy the artifact, then adapt it.
Policies, approval records, notices, allowlists, and inventories are now separated from long-form guides so teams can use them immediately.
Policy
AI usage policy
A short company policy for what employees may paste, upload, connect, automate, and review when using AI tools.
Approval
Customer data approval form
A decision record for approving, restricting, or blocking AI workflows that touch customer data.
Notice
Meeting bot consent notice
A reusable notice for calls where an AI meeting bot records, transcribes, summarizes, or syncs notes.
Allowlist
Browser extension allowlist
A simple approval record for AI browser extensions that can read pages, tabs, clipboard data, or SaaS apps.
Inventory
Developer AI tool inventory
A repository and tool inventory for Cursor, Copilot, AI agents, code-review assistants, CLIs, and extensions.
Start here
First guides and reviews
AI chatbot cost and quota governance checklist for small teams
A practical checklist for setting chatbot budgets, usage quotas, tenant fairness rules, alert thresholds, pause triggers, and safe fallback decisions without exposing private billing data.
AI chatbot customer authentication and account recovery checklist for small teams
A practical checklist for binding chatbot sessions to the right user and tenant, separating authentication from model output, and handling account recovery without creating an access shortcut.
AI chatbot feedback and complaint triage checklist for small teams
A practical checklist for classifying chatbot feedback and complaints, protecting submitted data, investigating unsafe answers, routing high-risk cases, and recording correction and release decisions.
AI chatbot memory and personalization privacy checklist for small teams
A practical checklist for reviewing saved chatbot memory, personalized context, data minimization, user controls, deletion, access boundaries, and safe rollout.
AI chatbot evaluation and regression testing checklist for small teams
A practical checklist for building repeatable AI chatbot evaluations, security negative tests, regression gates, evidence records, and staged rollout decisions.