Audit an AI Tool’s Access to Credentials — Practical Checklist
Step-by-step checklist to audit what AI tools can access, run quick live tests, fix configurations, vet vendors, and set monitoring for secrets protection.
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Prevent Code Leaks: Secure Practices for AI Coding Assistants
Practical guide to prevent code leaks with AI coding assistants. Concrete IDE, repository, token and monitoring safeguards plus detection and remediation steps.
How to Build a Secure Sandbox for LLM Automations — Practical Guide
Step-by-step guide to set up an isolated LLM automation sandbox: threat model, local vs cloud infrastructure, data rules, safe test cases, metrics and rollback plan.
Protect Your Code with a Secure AI Coding Assistant Checklist
Step-by-step checklist to protect source code when using AI coding assistants. Quick tests, workspace separation, vendor questions, and incident-response steps for teams.
Secure prompt management: store, version, and audit prompts
A practical tutorial on storing, versioning, and auditing prompts safely: secret stores, redaction, git-backed templates, access controls, and audit patterns.
How to Test and Prevent LLM File-Access and Deletion Risks
A hands-on playbook for teams to simulate risky LLM behavior, lock down file permissions, run safe tests, monitor activity, and prepare incident playbooks.