Security Overview

• • Isolation by default across ingestion, processing, and execution layers.
• • Deterministic authority for incident boundaries and action eligibility.
• • Governance-first automation with approval gates and blast-radius control.
• • Immutable audit-grade traceability for all state transitions.
• • Replay validation prior to policy or model promotion.

Encryption

• • TLS encryption for all data in transit.
• • AES-256 encryption at rest.
• • KMS-backed key management.
• • No plaintext telemetry persistence.

Data Handling & Retention

• • Tenant-scoped ingestion and storage segmentation.
• • Configurable retention policies.
• • Replay data store isolated from production execution.
• • Secure deletion workflows for expired data.

• • Role-based access control (RBAC) enforcement.
• • API key authentication with scoped permissions.
• • Least-privilege administrative access.
• • Audit logging of all privileged actions.
• • Approval gating for policy-scoped execution.

• • Partition-level Kafka isolation per tenant.
• • Segregated incident state storage.
• • AI inference scoped strictly per tenant.
• • No cross-tenant feature vector sharing.
• • Dedicated cluster deployment option for regulated environments.

• • Policy engine evaluates execution eligibility.
• • Approval workflows enforced before action execution.
• • Blast-radius modeling limits scope of change.
• • Execution context validated against tenant boundaries.
• • Replay validation confirms decision correctness.
• • All actions recorded in immutable audit ledger.

• • Containerized service isolation.
• • Network segmentation between planes.
• • Secrets management via secure vault systems.
• • Continuous monitoring of platform health.
• • Controlled deployment pipelines with approval workflows.

• • Continuous monitoring of platform telemetry.
• • Anomaly detection within governance and execution layers.
• • Responsible disclosure program.
• • Internal audit trails for security investigations.
• • Structured vulnerability management process.

• • AI cannot override deterministic incident boundaries.
• • AI cannot execute actions without policy approval.
• • Inference pipelines operate within tenant partitions.
• • Replay validation required before model refinement promotion.
• • AI decision traces recorded in audit ledger.

• • Data plane failures do not bypass governance enforcement.
• • AI subsystem failure does not mutate incident authority.
• • Replay operates out-of-band from production execution.
• • Policy engine acts as final execution gate.

• • Security controls aligned with SOC 2 Type II framework.
• • Data protection principles aligned with GDPR standards.
• • Ongoing compliance roadmap and third-party audit planning.
• • Documentation available upon request for enterprise review.