Workspace isolation
Every workspace runs in its own logical boundary. Data, configurations, agent profiles, and query history are fully isolated between organizations. There is no shared tenancy surface where one workspace can observe another.
Security and Trust
Enterprise-grade data protection by default.
Pantasso was designed from the start for companies that need to know where their data goes, who can access it, and how AI assistants interact with it. Security is not a feature tier. It is how the platform works.
Key principles
Security built into the platform, not bolted on after.
Every workspace, source connection, and agent interaction follows the same isolation and access-control model. These are not optional add-ons.
Source-level access control
Each connected source has its own permission scope. Workspace owners choose exactly which Slack channels, Drive folders, repositories, or file sets Pantasso may read. Nothing is indexed without explicit approval.
Redacted support reports
When a workspace needs help, the support report strips company-specific content before transmission. Pantasso support sees workspace health metrics and configuration state, not the underlying company data.
Data governance
You decide what Pantasso may see. Everything else stays out.
Governance in Pantasso starts with the workspace owner. Sources are approved one at a time, queries are logged, and agents operate within explicit boundaries.
Opt-in sources only
Pantasso never crawls or indexes data that has not been explicitly approved by a workspace owner. Adding a new source requires a deliberate selection, not a bulk import. Excluded channels, folders, and files are named up front and enforced throughout the data lifecycle.
Opt-in sources only
Audit trail for all queries
Every query, retrieval, and agent interaction is logged with the requesting identity, the sources consulted, and the records returned. Workspace owners can review who asked what, when, and which sources contributed to each answer.
Audit trail for all queries
Agent boundary enforcement
AI assistants operate within scoped profiles that define what each agent may read, what it may draft, and when it must defer to a human. Agent profiles do not grant new source access on their own, and boundary violations are logged.
Agent boundary enforcement
Infrastructure
How Pantasso handles deployment, data, and operations.
The platform infrastructure is designed for reliability, auditability, and controlled access at every layer.
Deployment and hosting
Pantasso runs on managed infrastructure with encrypted storage at rest and in transit. Deployments follow a controlled release path with rollback capability. Infrastructure access is restricted to authorized operators.
Data handling
Ingested data is structured into typed records with full provenance. Source credentials are stored separately from workspace content. Deletion requests remove both the indexed content and its metadata from the workspace.
Backup and recovery
Workspace data is backed up on a regular schedule. Backups are encrypted and stored separately from the primary data path. Recovery procedures are tested as part of the platform operations cycle.
Operational monitoring
Source freshness, ingestion health, retrieval quality, and agent activity are continuously monitored. Workspace owners see a health dashboard; platform operators see system-level metrics without accessing workspace data.
Review your requirements with us.
Tell us about the source you want to evaluate and the access, data, and review requirements your organization needs to address.