Governance

Security as Code for AI.

Define granular access controls and safety policies across all your LLM providers. Enforce company-wide rules with a single YAML configuration.

# policy.yaml
version: 1.0
policies:
  - id: finance-dlp
    target: team-finance
    rules:
      - type: redact-pii
      - type: block-secrets
      - type: max-tokens
        value: 4096

  - id: engineering-safety
    target: dev-environment
    rules:
      - type: block-jailbreak
      - type: allow-code-gen

Scale Governance.
Not Complexity.

Manually policing AI usage is impossible. ShieldCore's Policy Engine allows you to automate security, compliance, and cost management across thousands of developers.

  • Dynamic Contextual Policies

    Apply rules based on user role, project, or model type.

  • A/B Testing Models

    Route traffic between models to compare performance and cost.

  • Quota Management

    Prevent runaway costs with per-user and per-team token limits.