Zero Standing Privilege

Secrets Management & Credential Infrastructure

Static credentials are technical debt with compound interest. Every secret committed to version control, every API key in environment variables, every service account password represents a future breach waiting for discovery. Dynamic secrets eliminate the attack surface entirely.

SOC 2 Type II HashiCorp Vault CNCF Projects Dynamic Credentials Kubernetes Zero Trust
The Static Secret Problem

Research from GitGuardian indicates that over 10 million new secrets were exposed in public GitHub repositories in 2023 alone. The average time-to-detection for leaked credentials exceeds 327 days (IBM Cost of a Data Breach Report, 2024). Static secrets create a perpetual attack surface—they cannot be rotated without application changes, they accumulate in logs and backups, and their compromise is often undetectable.

Modern secrets management eliminates static credentials through dynamic secrets—credentials generated on-demand with automatic expiration and revocation capabilities.

The Architecture of Secret-Less Systems

Traditional credential management treats secrets as static configuration—values stored in files, environment variables, or configuration management systems. This model inherits from an era when infrastructure was physical and deployments were measured in months. Modern cloud-native architectures demand a fundamentally different approach.

The zero-standing-privilege paradigm inverts the credential model: rather than applications storing credentials for later use, credentials are generated at the moment of need, scoped to the specific operation, and automatically revoked upon completion. This reduces the attack surface from "all credentials, forever" to "this credential, for this request, right now."

HashiCorp Vault operationalizes this paradigm through its secrets engines—pluggable backends that generate credentials for specific systems. A Vault-native application never stores database passwords; it requests credentials from Vault, uses them for a single operation or session, and relies on Vault to revoke them automatically.

Dynamic Secrets Architecture
APPLICATION Kubernetes Pod Service Account: app-svc 1. Request Credential HASHICORP VAULT Auth Methods Secrets Engines Audit Logging 2. Generate Credential PostgreSQL Dynamic User Creation AWS STS Temporary IAM Credentials PKI CA Short-Lived Certificates SSH CA Signed SSH Certificates 3. Return Dynamic Secret TTL: 1 hour Auto-Revocation Renewable Leases Secrets Engines: Database Cloud IAM PKI SSH Transit KV

Dynamic Secrets Engines

Each secrets engine generates credentials specific to its target system, with built-in rotation, revocation, and audit capabilities.

Database Secrets Engine
On-demand database credentials with configurable TTL. Supports PostgreSQL, MySQL, MongoDB, Oracle, and MSSQL. Automatic user creation, privilege assignment, and cleanup upon lease expiration.
PostgreSQL MySQL MongoDB
Cloud IAM Secrets Engine
Temporary cloud credentials via STS/AssumeRole patterns. AWS, GCP, and Azure integration. Eliminates long-lived IAM access keys while maintaining fine-grained access control through role-based policies.
AWS STS GCP IAM Azure AD
PKI Secrets Engine
Internal Certificate Authority for service-to-service mTLS. Short-lived certificates (hours, not years) with automatic renewal. Eliminates certificate management complexity and reduces blast radius of key compromise.
mTLS SPIFFE Short-Lived
SSH Secrets Engine
SSH certificate-based authentication eliminating authorized_keys management. Certificates signed by a trusted CA with principal-based access control. Complete audit trail of SSH access.
Certificate Auth No Key Distribution

Kubernetes-Native Secrets Management

Kubernetes native Secrets suffer from fundamental security limitations: base64 encoding (not encryption), broad RBAC access patterns, and persistence in etcd without envelope encryption by default. The Kubernetes Secrets Store CSI Driver and External Secrets Operator provide integration points between Vault and Kubernetes workloads.

External Secrets Operator Configuration
Kubernetes-native secret synchronization
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
  name: database-credentials
  namespace: production
spec:
  refreshInterval: 1h
  secretStoreRef:
    kind: ClusterSecretStore
    name: vault-backend
  target:
    name: db-creds
    creationPolicy: Owner
  data:
  - secretKey: username
    remoteRef:
      key: database/creds/app-role
      property: username
  - secretKey: password
    remoteRef:
      key: database/creds/app-role
      property: password

The External Secrets Operator synchronizes Vault secrets into Kubernetes Secrets, enabling existing workloads to consume dynamic credentials without modification.

Case Study: Uber's Credential Breach (2022)

In September 2022, an attacker gained access to Uber's internal systems through a compromised contractor credential. The attacker discovered a PowerShell script on a network share containing hardcoded administrative credentials for Uber's Privileged Access Management (PAM) system—the very system designed to protect privileged credentials.

Attack Chain Analysis
Lapsus$ Group, September 2022
INITIAL ACCESS
Social engineering of contractor via repeated MFA push notifications ("MFA fatigue")
PRIVILEGE ESCALATION
Discovery of hardcoded PAM credentials in PowerShell script on internal network share
LATERAL MOVEMENT
PAM access enabled extraction of secrets for AWS, GCP, Slack, SentinelOne, and more

Root Cause: Static credentials stored in automation scripts. A properly configured secrets management system would have eliminated the attack vector entirely—the PowerShell script would authenticate to Vault using its service identity rather than embedded credentials.

10M+
Secrets Exposed on GitHub (2023)
327
Days Avg. Time-to-Detection
$4.45M
Avg. Breach Cost (2024)
19%
Breaches from Stolen Credentials

Secrets Management Services

Vault Architecture Design
High-availability deployment patterns, auto-unseal configuration, DR replication, and performance optimization. On-premise, cloud-hosted, or HCP Vault selection.
Secrets Engine Configuration
Database, cloud IAM, PKI, and SSH secrets engine deployment. Role definitions, lease parameters, and rotation policies aligned with compliance requirements.
Authentication Integration
Kubernetes, OIDC, LDAP, and cloud IAM authentication backends. Policy authoring following least-privilege principles with entity and group management.
Kubernetes Operators
External Secrets Operator, Vault Secrets Operator, and CSI Driver deployment. GitOps-compatible secret synchronization with automatic rotation support.
Secret Scanning & Remediation
Repository scanning for exposed credentials, remediation workflow design, and pre-commit hook deployment. Integration with GitGuardian and Trufflehog.
Zero Trust Integration
Service mesh integration with Istio/Envoy, SPIFFE/SPIRE identity federation, and workload identity platforms. Elimination of network-based trust.

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