Designed for regulated production environments
Agentic Runtime Governance & Security
Wraithvector provides step-by step runtime observability for AI Agents
in regulated environments.
The system generates inmutable cryptographic, audit-ready evidence of every agent decision
with optional policy enforcement when required.
Aligned with AI Act, DORA, and GDPR.
Built for AI governance
Core runtime capabilities
Cryptographic audit trails.
Offline-verifible evidence
Immutable audit logs, cryptographically signed and independently verifiable offline.
Policy evaluation before execution
Policies evaluated before any tool execution.
Controlled execution paths
Fail-closed execution with optional blocking on policy violations.
Step-by-step runtime observability for AI agents, with verifiable audit evidence and optional pre-execution control for regulated industries
- Cryptographically verifiable audit evidence (PDF+JSON)
- Runtime observability for AI agents
- Pre-tool and pre-action interception for agent observability and control
- Pre-execution policy evaulation (optional)
- Tenant-isolated policies evaluation with secure defaults
Secure AI automation with regulatory compliance
Design, deployment, and governance of AI systems with security, traceability,
and alignment with GDPR, AI Act, and DORA from day one.
Built for regulated environments where auditability and control are mandatory,
with optional enforcement for high-risk actions.
Optional enforcement when you are ready
Operate in observability-only mode, or enable policy enforcement for selected high-risk actions.
About the founder
Fran Martos
Founder - Wraithvector AI Systems
AI Governance & Security engineer
Founder and builder of AuditorIA, a runtime governance and security platform
designed to control AI systems before execution in regulated environments.
Background in systems engineering, security, and DevSecOps.
Focused on enforcement, auditability, and compliance-by-design
for AI systems subject to GDPR, AI Act, and DORA.