Next Steps: Building Security into Your New Company, AI Apps, and Workflows (5 minute intermediate level reading)
BLUF: CRITICALLY IMPORTANT SECURITY AND STARTUP BEST PRACTICES; HANDLING SECRETS LIKE API KEYS IN AI STARTUPS
The first and most critical rule for any AI startup founder is this: Before launching separate your personal and business digital identities completely and immediately, and it is a must do before you begin operations.
Never mix personal logins, email addresses, cloud drives, or payment accounts with your company’s operations. Every security breach begins with blurred boundaries.
Critically important: Keep your startup’s credentials, banking, and API integrations isolated inside their own business domain, vault, and workspace. Never mix with your personal.
This means using separate admin accounts, company email domains, and organization-level vaults for credentials.
Your personal Gmail, Apple ID, or Notion space should never contain production keys, app configurations, or client data.
Segregating personal and professional assets not only protects you from accidental exposure but also ensures compliance, makes audits clean, and demonstrates maturity to investors, auditors, and potential partners. Treat your startup as its own digital entity — with its own keys, vaults, policies, and accountability structure.
USE A DEDICATED SECRETS VAULT — NEVER CODE OR ENV FILES
Store all sensitive credentials in a centralized secrets vault, not inside .env files or hard-coded variables.
The three leading options for startups are:
HashiCorp Vault — enterprise-grade and open-source, integrates with Kubernetes, CI/CD, and any cloud provider.
AWS Secrets Manager, Google Secret Manager, or Azure Key Vault — perfect for cloud-native architectures.
1Password Secrets Automation or Doppler — startup-friendly, zero-trust dashboards and versioned rotation logs.
Best practice:
Every AI agent, app, or pipeline retrieves secrets on demand, via temporary tokens that expire automatically.
Never print secrets in logs or expose them in API responses.
If you’re using open AI platforms like LangChain, Vercel, or Hugging Face, connect via environment variable references, not direct keys.
SEGMENT KEYS BY ENVIRONMENT AND ROLE
Use different API keys for development, staging, and production.
Also separate keys by role or function, such as “LLM Inference,” “Payments,” or “Analytics.”
This ensures that one compromised key doesn’t cascade across your entire system.
Rule: The fewer privileges, the smaller the blast radius.
AUTOMATE ROTATION EVERY 90 DAYS
Secrets age like milk, not wine. Set up automatic key rotation in your vault every 90 days — monthly if you are working with high-value or compliance-regulated data.
HashiCorp Vault and Doppler can auto-rotate credentials and sync changes to all services.
Always maintain a rollback log for the last known working version, but never store that log in plaintext.
If a key is suspected to be compromised, revoke it immediately and monitor outbound traffic for unusual calls.
REVIEW APP PERMISSIONS QUARTERLY
Conduct a Quarterly Access Review — a 15-minute ritual that prevents 90 percent of lateral breaches.
Checklist for your quarterly review:
List every third-party app, API integration, and user with access to your AI system.
For each third party app or API confirm who owns it, what country it originates from, what data it reads or writes, and when it was last used.
If you plan to sell digital services to the United States government spend a lot of time at the very beginning, making sure you architect your system in full compliance with those requirements, especially for the DoD.
Remove any app, token, or user not used in the last 90 days.
Enforce least privilege: if an app only needs analytics data, it should not have permission to send messages or delete records.
***If you are dealing with highly sensitive or proprietary data locate your server, racks or main computer deep inside your building never near an external wall or windows. Keep it on the very inside in the innermost part of your building or workspace away from windows.
Use a dedicated electrical strip that prevents lightning strikes from damaging your equipment. The magnetic technology inside these also can prevent information being stolen from your computer if it is sensitive or proprietary.***
Automate your process with tools like Google Workspace Security Dashboard for OAuth audits, GitHub Advanced Security for token scanning and repository access, and AWS IAM Access Analyzer for identifying overly broad permissions.
READ-ONLY ACCESS BY DEFAULT
If a tool doesn’t need to modify or write data, never grant write access.
Write access lets an attacker change configuration files, push malicious code, or delete logs.
Read-only access still allows insights, testing, and debugging without altering the system.
Principle: Read-only until proven necessary.
Use IAM policies or Role-Based Access Control (RBAC) to enforce this. An AI dashboard that only visualizes usage data should have a policy that allows reading objects and describing log streams, but not writing or deleting.
REQUIRE DEVELOPER SECRECY AGREEMENTS
If you are planning to sell your IT or app to the United States government in the future, make sure that you know the identity and citizenship of all of your developer team. Read through the necessary US documentation to ensure you are in compliance from the very beginning.
Prevent fraud by requiring any sensitive transfer of information, API keys, or tokens with two person integrity, and make sure that there is an in person visual on the person asking for the core sensitive data to your business practice, to prevent the spoofing phenomenon, which is taking over IT departments worldwide and robbing companies of millions of dollars by having their leadership’s voices cloned.
Your technical security is not complete without legal security. Every engineer, contractor, or collaborator with access to your vault or infrastructure should sign a Developer Secrecy Agreement (DSA) or Confidentiality and IP Protection Addendum.
Core elements to include:
Scope of Confidentiality — defines that all access credentials, architecture diagrams, and customer data are proprietary and not to be shared, stored externally, or reused on other projects.
Prohibition on Copying Keys — developers may not store secrets in personal notes, screenshots, or cloud drives outside the company’s approved systems.
Immediate Revocation Clause — the company reserves the right to revoke all access upon project completion or at any sign of risk.
IP Ownership Clause — any code, prompt, or automation built using company credentials remains company property.
Penalties for Disclosure — financial and reputational consequences for breaches.
Best practice:
Have every new developer sign the DSA before receiving any credentials.
Keep a log of all signed agreements in your HR or compliance system.
Pair legal enforcement with automated credential revocation — when a developer offboards, their key access should be revoked within minutes, not days.
SECURITY FEATURES TO IMPLEMENT IMMEDIATELY
Zero-Trust Authentication — require token-based or certificate-based authentication for all services, even internal.
Just-In-Time Access — developers get credentials only when needed, automatically revoked after a set time.
Encrypted Secrets at Rest and in Transit — use AES-256 for storage and TLS 1.3 for transmission.
Vault Access Logging and Alerting — every read or write action in your secrets vault should create an audit log entry. Pair this with automated anomaly alerts.
Hardware Security Modules — for startups dealing with regulated data such as healthcare or finance, HSM-backed key storage ensures cryptographic operations happen inside tamper-resistant hardware.
Environment Isolation for AI Tools — run AI models and connectors in sandboxed environments so that one agent cannot access another agent’s keys or data.
Security-First CI/CD Pipeline — integrate secret scanning tools such as GitGuardian or TruffleHog to detect any leaked keys before deployment.
Legal and Human Layer Security — reinforce technical barriers with NDAs, DSAs, and ethics briefings. The best defense is a developer culture where data secrecy is second nature.
SUMMARY: THINK LIKE A BANK, NOT A HACKER
Every API key in your AI startup is a digital passport — protect it like a million-dollar asset.
The top 0.001 percent of founders treat secrets management not as a compliance box, but as part of product quality.
Because the truth is simple:
Trust is the foundation of intelligence.
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Theresa Elliott
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Next Steps: Building Security into Your New Company, AI Apps, and Workflows (5 minute intermediate level reading)
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