Privacy at inference time

Runtime Consent Enforcement

Most platforms track consent. Colossal enforces it - at the moment an AI agent touches someone's data. Withdraw consent and processing stops, in real time, with the proof regulators ask for.

Real-time
Enforced at inference
Instant
Withdrawal honored
DPDPA
and GDPR ready
No-train
Provider signals

Consent that actually holds

The difference between a consent record and a consent control is enforcement. This is the control.

Consent checked at inference time

Consent is verified the moment an agent processes someone's data - not logged after the fact in a register nobody reads. If consent is not in place, the request does not proceed.

Withdraw, and it stops

When a person withdraws consent, AI processing of their data halts immediately across the platform. Enforcement is real, not aspirational.

Purpose-bound AI data use

Consent is scoped to specific purposes - training, fine-tuning, retrieval, inference context, and more - so data is only ever used for what people agreed to.

No-train signals to providers

Requests carry no-train directives to model providers, so your customers' data is not quietly used to improve someone else's model.

In practice

Built for regulated data

For banks, insurers, and healthcare, "we tracked consent" is not a defense. Colossal lets you say "we enforced it" - and show the evidence.

  • Stop AI processing the instant a customer withdraws consent
  • Prove purpose-bound data use for DPDPA and GDPR audits
  • Keep regulated data out of model-provider training sets
  • Tie every AI interaction back to a valid, current consent
  • Give privacy and security one shared, enforceable control
Evidence exported for your compliance frameworks.

Turn consent into a control

See consent enforced live: withdraw it, and watch AI processing stop on the next request.