Security

Enterprise data security and governance by design

Security is embedded across application, workflow, data, and infrastructure layers to support mission-critical environments where governance and auditability are mandatory.

Redcaso applies institution-grade controls for identity, data isolation, runtime policy enforcement, and evidence-ready accountability across every deployment model.

Security controls visualization

Identity and access governance

  • Role-based access control (RBAC) mapped to organizational functions
  • Least-privilege entitlements across data, tools, and agent actions
  • Separation-of-duties controls for policy authoring and approvals
  • Time-bound privileged access with session traceability

Data protection and isolation

  • Tenant and dataset isolation boundaries across environments
  • Encryption in transit and at rest with managed key lifecycles
  • Field-level masking and redaction for protected attributes
  • Controlled data egress policies for high-sensitivity domains

Agent and workflow security

  • Policy gates for human approval on high-impact operations
  • Tool and action allow-lists per agent role
  • Runtime prompt and policy validation before execution
  • Fallback controls when confidence or policy conditions fail

Auditability and accountability

  • Action-level audit logging from input to outcome
  • Immutable decision trails with reviewer attribution
  • Evidence-ready reporting for internal and regulatory audits
  • Operational telemetry aligned to incident response workflows

Governance programs

Compliance and policy alignment

Security controls are mapped to institutional policy frameworks and compliance obligations, with control ownership and review cadences defined across business and technical teams.

Data lifecycle governance

Data intake, retention, archival, and deletion schedules follow policy-defined classifications and legal requirements, with auditable lifecycle enforcement.

Model and vendor governance

Model access is controlled through approved gateways and deployment boundaries. Client data is isolated and never used for external model training without explicit contractual authorization.

Operational risk management

Threat modeling, control testing, and incident exercises are embedded in program operations to maintain continuity in mission-critical environments.

Security assurance practices

  • Security architecture review before each deployment phase
  • Periodic entitlement and policy effectiveness review
  • Continuous monitoring with incident classification and playbooks
  • Control evidence collection for external/internal audits
  • Joint governance checkpoints with client stakeholders
  • Post-incident corrective-action and control hardening cycles

Deployment security readiness

  • On-prem and sovereign private cloud deployment readiness
  • Air-gapped environment operating model support
  • Regional data residency and jurisdictional policy enforcement
  • Hybrid infrastructure controls across central and edge workloads