Vortalis
The trust layer between your AI agents and your data — with 22 service adapters, deterministic workflows, and regulatory-grade audit logging.
AI Security
Production
Access: Public
Problem it solves
AI agents are transforming how businesses operate, but giving them access to sensitive data creates serious risk. There's no standard way to let agents work with your systems without exposing credentials, personal data, and regulated information. Regulated industries need deterministic workflows and tamper-evident audit trails to meet compliance requirements.
Who it's for
Regulated businesses in healthcare, financial services, and legal that need AI agents to operate safely. Any organisation that wants governance, auditability, and control over what their AI agents can access.
Key features
- Tokenisation proxy — agents receive opaque token references; sensitive data is encrypted at rest with configurable TTL
- 22 prebuilt service adapters across 9 verticals including healthcare, legal, and financial services
- YAML policy engine governing access levels, rate limits, recipient scope, and unwrap permissions per field
- Deterministic workflow engine (FSM) enforcing sequential access patterns for regulated processes
- Human-in-the-loop approvals — agents request access; admins approve with full context and audit logging
- Anomaly detection with five parallel detectors and Z-score severity classification (2–5 sigma)
- Immutable audit trail with SHA-256 hash chain and automatic regulatory tagging (DORA, GDPR, HIPAA, SRA)
- MCP server with 111 tools across two planes and Python SDK for typed agent integration
Capabilities
TokenisationPolicy engineWorkflow FSMAnomaly detectionMCP serverRegulatory compliance
Outcomes it delivers
- AI agents operate with full context but never see sensitive data
- Deterministic workflows enforce regulated access patterns with tamper-evident logging
- Emergency stop across all agent activity — globally or per service — in one action