Track A · Layer 3 PROTECT (joint with vCyberiz)
Paringa powered by Skyflow
Runtime PII tokenisation at the data layer — so data is protected even when the perimeter is breached. The security layer most MSSP engagements miss. Trusted by Visa, ServiceNow, and GoodRx.
Skyflow
Most cyber security defences protect the perimeter. Skyflow protects the data itself — through runtime tokenisation and pseudonymisation that replaces sensitive identifiers with non-sensitive tokens before data ever enters an AI pipeline, a third-party API, or an untrusted processing environment.
The result: even if an attacker penetrates the perimeter, they extract tokens — not real PII. The data is mathematically protected at source, not just surrounded by controls. This is defence in depth at the layer that matters most for regulated AI deployments.
Paringa deploys Skyflow jointly with vCyberiz at Track A Layer 3 — vCyberiz covers the threat perimeter, Skyflow covers the data itself. Together they close the gap that most MSSP-only engagements leave open.
- PII tokenisation at runtime — sensitive data is replaced with tokens before processing. The token is meaningless without access to the vault. Breach value is eliminated.
- GDPR Article 25 compliance — privacy by design at the architectural level. Skyflow is the mechanism; Paringa is the governance layer that ensures it's correctly scoped and documented.
- AI pipeline privacy — prevents PII from entering LLM prompts, training data, RAG pipelines, or third-party AI APIs. Critical for financial services and healthcare AI deployments.
- Trusted at scale — Skyflow is used in production by Visa, ServiceNow, and GoodRx. Enterprise-grade vault architecture, not a startup experiment.
- Joint Layer 3 with vCyberiz — the only way to achieve genuine data-layer defence in depth. Perimeter protection (vCyberiz) + data-layer protection (Skyflow) = a complete Layer 3 posture.
How it works
Data protected
at the point of creation.
Traditional security protects data in transit and at rest. Skyflow protects data at the moment it is processed — before it touches any AI model, API, or third-party service. Tokenisation happens in real time, in the vault, with no change to upstream application code beyond an API call.
For regulated AI deployments in financial services, healthcare, and insurance — where PII routinely flows into AI pipelines — this is the architecture that makes compliance possible without compromising model utility.
Customer data — names, account numbers, health identifiers — arrives from upstream systems as real PII.
PII is intercepted and replaced with a non-sensitive token. The vault holds the mapping. The downstream system receives only the token.
LLMs, RAG pipelines, and third-party APIs process tokens — not real PII. A breach at this layer yields no customer data.
Only authorised systems with vault access can resolve tokens back to PII — and only for specific, logged, policy-governed use cases.
Regulatory alignment
GDPR. AI Act.
Abu Dhabi AI governance.
One architecture.
PII is entering
your AI pipelines right now.
The Paringa AI Governance Health Check maps exactly what data is flowing into which AI systems. If PII exposure is identified, Skyflow tokenisation is the remediation — deployable without changing your upstream application architecture.
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