The Control Plane For Data Movement

Control your data everywhere — in real time, across every system it touches.

A real-time data governance layer that enforces policy, proves compliance, and propagates change instantly — including Right to Be Forgotten (RTBF), audit trails, and downstream data control.

The Reality of Modern Flow

Data doesn’t stay still.

It gets copied into logs, analytics tools, caches, exports, backups, third-party systems, vector embeddings, and LLM orchestration contexts.

When someone requests deletion, changes consent, or triggers a compliance requirement, the question isn’t “did you update the database?” — it’s:

“Can you guarantee it’s gone everywhere it went?”

Most teams can’t answer that.

Continuous Enforcement Layer

A control plane for data movement and compliance.

This is a real-time data control and enforcement layer for modern systems. It sits natively between your internal systems and your raw data flows to guarantee execution boundaries.

Every data event is classified and governed in real time
Policies are enforced as data moves, not after the fact
Sensitive data is tracked across downstream systems
Deletions and RTBF requests propagate automatically
Audit trails are complete, verifiable, and replayable

Enforcement Active

Ingested Event

{"event": "user_checkout",

"email": "customer@company.com",

"action": "propagate_downstream"}

Propagated State

{"event": "user_checkout",

"email": "[RTBF_AUTOMATIC_INVALIDATION]",

"status": "policy_enforced_instantly"}

Capabilities

What it solves (in plain terms)

Real-time governance

No batch jobs. No “we’ll fix it later.”

Policies are evaluated at ingestion and during propagation — continuously.

Right to Be Forgotten (RTBF), actually enforced

Delete once, propagate instantly.

The system traces and removes or invalidates data everywhere it was replicated — logs, warehouses, SaaS tools, AI vector databases, and pipelines.

Downstream visibility and control

You don’t just know where data was stored.

You know where it went. And you can act on it directly before it leaks into black-box model training blocks.

Audit you can actually defend

Every decision is traceable.

Instantly trace what was seen, what rule fired, what action was taken, and where it propagated. No black boxes. No gaps.

Architecture

Simple Mental Model

How data properties flow sequentially through Trikiilo's continuous core engine runtime.

Observe

Data is ingested and classified in motion.

Decide

Policies evaluate context, semantics, and rules.

Enforce

Actions apply instantly: mask, block, delete, propagate, or log.

Propagate

Downstream pipelines and model repositories receive consistent updates.

Prove

Every step is recorded in an immutable audit trail.

Macro Shift

Why Now?

Data systems are no longer centralized. They’re event-driven, multi-cloud, tool-sprawled, and permanently ingested by AI models.

Governance tools built for static databases can't handle dynamic systems. Once data hits an AI pipeline, symbolic deletion is impossible. What’s missing is a real-time enforcement layer that stops policy violations before data enters the black box.

Instead of asking:

✕ "Where is our data?"

✕ "Did we delete it everywhere?"

✕ "Can we pass this audit?"

You get answers that are always current:

✓ Data is governed in real time

✓ Deletions are enforceable, not symbolic

✓ Compliance is continuous, not periodic

✓ Audits are reproducible, not reconstructed

If your data flows across systems, you don’t have a storage problem.

You have a control problem. This is the layer that fixes it.