What it does. Deploy privileged access management for database systems including Oracle, Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).

Install

• npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-pam-for-database-access, or copy the skill folder into ~/.claude/skills/implementing-pam-for-database-access/.
• Raw file: curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/implementing-pam-for-database-access/SKILL.md

SKILL.md (verbatim)

name: implementing-pam-for-database-access
description: Deploy privileged access management for database systems including Oracle,
  SQL Server, PostgreSQL, and MySQL, covering session proxy configuration, credential
  vaulting, query auditing, dynamic credential generation, and least-privilege database
  roles. Use when securing DBA access, implementing database PAM controls, or auditing
  privileged database sessions.
domain: cybersecurity
subdomain: identity-access-management
tags:
- iam
- identity
- access-control
- privileged-access
- pam
- database
- dba
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- PR.AA-01
- PR.AA-02
- PR.AA-05
- PR.AA-06
mitre_attack:
- T1078
- T1110
- T1556
- T1098
- T1003
mitre_f3:
  version: '1.1'
  tactics:
  - initial-access
  - positioning
  - resource-development
  techniques:
  - id: T1586
    name: Compromise Accounts
    tactic: resource-development
    source: attack
  - id: T1110
    name: Brute Force
    tactic: initial-access
    source: attack
  - id: F1033
    name: Insider Access Abuse
    tactic: initial-access
    source: f3
  - id: F1005.004
    name: 'Account Manipulation: Change Account Details'
    tactic: positioning
    source: f3
  - id: F1006.002
    name: 'Account Takeover: Exposed Login Credential'
    tactic: initial-access
    source: f3

Implementing PAM for Database Access

Overview

Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL. Covers session proxy configuration, credential vaulting, query auditing, dynamic credential generation, and least-privilege database roles.

When to Use

• When deploying or configuring implementing pam for database access capabilities in your environment
• When establishing security controls aligned to compliance requirements
• When building or improving security architecture for this domain
• When conducting security assessments that require this implementation

Prerequisites

• Familiarity with identity access management concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Objectives

• Implement comprehensive implementing pam for database access capability
• Establish automated discovery and monitoring processes
• Integrate with enterprise IAM and security tools
• Generate compliance-ready documentation and reports
• Align with NIST 800-53 access control requirements

Security Controls

Verification

• Implementation tested in non-production environment
• Security policies configured and enforced
• Audit logging enabled and forwarding to SIEM
• Documentation and runbooks complete
• Compliance evidence generated

Other files in this skill

• LICENSE
• references/api-reference.md
• scripts/agent.py

references/api-reference.md (verbatim)

API Reference: Implementing PAM for Database Access

HashiCorp Vault Database Secrets Engine

# Enable database secrets engine
vault secrets enable database

# Configure PostgreSQL connection
vault write database/config/postgresql \
  plugin_name=postgresql-database-plugin \
  connection_url="postgresql://{{username}}:{{password}}@db.example.com:5432/mydb" \
  allowed_roles="readonly,readwrite" \
  username="vault_admin" password="admin_pass"

# Create dynamic credential role
vault write database/roles/readonly \
  db_name=postgresql \
  creation_statements="CREATE ROLE \"{{name}}\" WITH LOGIN PASSWORD '{{password}}' VALID UNTIL '{{expiration}}'; GRANT SELECT ON ALL TABLES IN SCHEMA public TO \"{{name}}\";" \
  default_ttl="1h" max_ttl="24h"

# Generate dynamic credentials
vault read database/creds/readonly

hvac Python Client

import hvac
client = hvac.Client(url='http://127.0.0.1:8200', token='s.xxx')
creds = client.secrets.database.generate_credentials('readonly')
# creds['data']['username'], creds['data']['password']

CyberArk Privileged Cloud API

Privileged Database Roles

Session Proxy Configuration

NIST 800-53 PAM Controls

References

• Vault Database Secrets: https://developer.hashicorp.com/vault/docs/secrets/databases
• CyberArk REST API: https://docs.cyberark.com/Product-Doc/OnlineHelp/PAS/Latest/en/Content/WebServices/Implementing%20Privileged%20Account%20Security%20Web%20Services%20SDK.htm
• NIST SP 800-53 AC-6: https://csf.tools/reference/nist-sp-800-53/r5/ac/ac-6/

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