Security and Governance for Enterprise AI.
Control how AI accesses data, takes actions, and gets audited — with guardrails, governance, and audit trails built into the system from the start.
What security covers.
Guardrails
Bounded actions and safe defaults — allowed tools, data ranges, and rate limits enforced at runtime.
Governance
Policies applied end to end.
Compliance
Aligned with your obligations.
Identity and access
Least-privilege, per session.
Data retention controls
Configurable per workspace.
Audit and observability
Every prompt, tool call, and model response captured with full context — searchable, exportable, and reviewable end to end.
Deployment boundaries
VPC, region, and tenant isolation.
Encryption at rest and in transit
AES-256 and TLS 1.3.
Certifications and controls.
Independent attestations and cryptographic controls that back the guardrails, governance, and audit trails above.
SOC 2 Type II certified with annual third-party audits covering security, availability, and confidentiality.
HIPAA compliant for regulated healthcare workloads, with signed BAAs and covered-entity controls.
GDPR compliant for EU personal data, with subject request handling and regional processing options.
AES-256 encryption at rest across storage, backups, and indexes, with keys rotated on a fixed cadence.
TLS 1.3 encryption in transit for every service and client hop, with modern cipher suites end to end.
Data retention controls configurable per workspace and log stream, including hard delete and legal hold.