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Database Security

Organization
RedHatProductSecurity
database-security

Enforce database security for schema design, access control, encryption, and operational hardening. Use when building, reviewing, or auditing database schemas, connection handling, credential management, or database deployment configuration.

Overview

PublisherRedHatProductSecurity
Repositoryprodsec-skills
Skill namedatabase-security
Stars
56
Forks
9
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RedHatProductSecurity on GitHub. Read the source before you install it.

Installation

Install the Database Security AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/database-security
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RedHatProductSecurity/prodsec-skills.git /tmp/prodsec-skills
mkdir -p .claude/skills
cp -r /tmp/prodsec-skills/module/skills/database-security .claude/skills/database-security
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Database Security in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Database Security on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Database Security is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Database Security

Design

Encryption

  • Encrypt all communication with the database (TLS in transit)
  • Encrypt the database at rest (filesystem, tablespace, or application-level encryption)

Auditing

  • Enable database auditing to log accesses and configuration changes
  • Audit logs should capture authentication events, privilege changes, and data access patterns

Data Integrity

  • Separate test databases from production databases; never share credentials between environments
  • Back up data regularly and document the backup and restore process
  • Use polyinstantiation to provide multiple views of the same object, preventing unauthorized users from inferring sensitive data
  • Apply database normalization to reduce data redundancy and improve integrity
  • Implement triggers to enforce referential integrity, prevent invalid operations, and apply complex security rules

Implementation

Least-Privilege Access

  • Applications MUST connect with the lowest possible level of privilege
  • Use different credentials for every trust level (regular user, read-only user, guest, administrator)
  • Users and applications MUST use separate accounts; never share authentication between them

Credential Management

  • Use secure credentials for all database access
  • Never hardcode connection strings in application code; store them in a separate configuration file on a trusted system, encrypted
  • Rotate credentials regularly

Configuration

Default Hardening

  • Remove or change all default administrative passwords; use strong passphrases or MFA
  • Turn off all unnecessary database functionality (stored procedures, utility packages, unnecessary services)
  • Remove default vendor content (sample schemas, example databases)
  • Install only the minimum set of features and options required (surface area reduction)

Backend Isolation

  • Isolate database servers from other systems and limit host connections
  • Disable network (TCP) access when possible; use local socket files or named pipes
  • Configure database to bind only on localhost when remote access is not required
  • Restrict network port access to specific hosts with firewall rules
  • Place database server in separate DMZ isolated from application server
  • Never allow direct connections from thick clients to backend database

Transport Layer Security

  • Use TLS 1.2+ with modern ciphers (AES-GCM, ChaCha20) for client connections
  • Verify digital certificate validity in client applications
  • Ensure all database traffic is encrypted, not just initial authentication

Platform-Specific Hardening

  • SQL Server: Disable xp_cmdshell, CLR execution, SQL Browser service, Mixed Mode Authentication (unless required)
  • MySQL/MariaDB: Run mysql_secure_installation, disable FILE privilege for users
  • PostgreSQL: Follow PostgreSQL security documentation guidelines
  • MongoDB: Implement MongoDB security checklist requirements
  • Redis: Follow Redis security guide recommendations

Implementation Checklist

  • All database connections use TLS encryption
  • Database storage is encrypted at rest
  • Auditing is enabled for access and configuration changes
  • Test and production databases are separated with distinct credentials
  • Backups are performed regularly with a documented restore process
  • Applications use the lowest-privilege database account
  • Different credentials are used per trust level (user, admin, readonly)
  • Connection strings are not hardcoded; they are stored encrypted on a trusted system
  • Default administrative passwords are changed
  • Unnecessary features, stored procedures, and sample schemas are removed
  • User accounts and application accounts are separate
  • Database isolated in separate network segment; no direct thick-client connections
  • Platform-specific hardening applied (see above)
  • Transaction logs stored on separate disk from main database files
  • Encrypted backups with tested restore procedures

References

Frequently asked questions

What does the Database Security AI skill do?

Enforce database security for schema design, access control, encryption, and operational hardening. Use when building, reviewing, or auditing database schemas, connection handling, credential management, or database deployment configuration.

Why use Database Security on TypingMind?

Because you install it once and use it with any model. Database Security is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Database Security in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/database-security. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Database Security?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Database Security?

As many as you like. As long as a model supports skills, you can use Database Security with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Database Security AI skill free?

Yes. It is published on GitHub by RedHatProductSecurity under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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