Role-based access control, KMS-backed secrets management, approval workflows, and comprehensive audit trails. Every action on the platform is permissioned, encrypted, and logged.
MechaMental implements a layered RBAC system that operates at both the organization and workspace levels. Define exactly who can do what, down to individual permission combinations.
Broad roles that govern platform-wide access and administration.
Fine-grained roles scoped to individual workspaces and their resources.
KMS-backed secret storage for API keys, tokens, credentials, and sensitive configuration. Secrets are encrypted at rest, versioned, and audited on every access. Provider accounts use the vault to store model API credentials.
API tokens, credential pairs, certificates, SSH keys, JSON blobs, and environment files.
All secrets are encrypted at rest using KMS. Decryption requires authenticated access.
Every secret update is tracked as a new version. Full rotation history is preserved.
Configure expiry dates and rotation reminders to ensure credentials stay fresh.
Track how many times each secret has been accessed and by which services.
Provider accounts reference vault secrets for model API credentials automatically.
Multi-level approval gates for sensitive operations like production deployments. Configure who approves, how many approvals are needed, and under what conditions approvals are required.
Designate specific roles or users who can approve sensitive operations.
Require multiple approvals before deployments or configuration changes proceed.
Define conditions that trigger approval requirements based on environment, scope, or risk.
Comprehensive activity logging across the entire platform. Every API call, configuration change, and deployment is recorded with timestamps, actors, and full details for compliance and troubleshooting.
Control costs and resource usage with workspace quotas, rate limits, and throughput limits. Set on-demand budgets and track usage per workspace to prevent runaway spending.
Set requests-per-minute and throughput ceilings per workspace to control resource consumption.
Configure spending budgets per workspace with alerts when approaching limits.
Monitor token usage, API calls, and compute spend per workspace with detailed breakdowns.
Enforce hard limits on the number of apps, models, secrets, and other resources per workspace.
From RBAC to encrypted secrets to audit logs, MechaMental ensures your AI operations meet enterprise security and compliance requirements.
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