AI SECURITY / TRAINING DATA
Govern the Data Your Models Learn From
Training and fine-tuning ingest your most sensitive data into models that memorize and can regurgitate it. Lattix enforces access, consent, and provenance on training corpora — so models learn only from data they're allowed to, with proof of what went in.
The data used to train and fine-tune models is a security and compliance blind spot. Training corpora are assembled from many sources — internal records, customer data, licensed datasets, scraped content — often stripped of the access controls and consent terms that governed them. Models then memorize that data and can leak it through outputs, while poisoned or unauthorized data quietly corrupts the model. When a regulator, customer, or rights-holder asks what data trained a model, most teams cannot answer with confidence.
- Training data is aggregated without the access controls or consent of its sources.
- Models memorize sensitive data and can regurgitate it in outputs.
- Unauthorized or poisoned data corrupts models with no clear provenance.
- Consent and licensing terms aren't enforced once data enters a training set.
- There's no reliable record of what data trained or fine-tuned a model.
Enforce Access on the Corpus
Lattix keeps training data wrapped in policy as it's assembled, so only authorized pipelines and identities can incorporate it. Data that shouldn't enter a training set — by classification, consent, or license — is denied at the data layer before it ever reaches the model.
Honor Consent and Licensing
Consent, purpose-of-use, and licensing terms travel with each data object as attribute-based policy. Records that don't permit training use are excluded automatically, so models learn only from data that is actually allowed.
Establish Verifiable Provenance
Every piece of data admitted to a training or fine-tuning run is recorded to a tamper-evident ledger. You get verifiable provenance for the corpus — what went in, from where, under what terms — defensible to regulators, customers, and rights-holders.
Guard Against Poisoning
Because only policy-authorized, provenance-tracked data can enter the pipeline, unauthorized or tampered inputs are blocked and detectable — reducing the risk of data poisoning and giving you a trail to investigate if integrity is ever questioned.
Authorized Data Only
Only data permitted by classification, consent, and license enters your training sets.
Prevent Memorized Leakage
Keep sensitive records out of corpora so models can't regurgitate what they shouldn't hold.
Verifiable Provenance
Prove exactly what data trained or fine-tuned a model, from where, under what terms.
Enforce Consent at Scale
Consent and licensing terms travel with the data and are honored automatically.
Reduce Poisoning Risk
Block unauthorized inputs and keep a trail to investigate integrity questions.
Defensible AI
Answer regulators and rights-holders about training data with evidence, not guesses.
Helps You Align With
Lattix provides the technical controls and audit capabilities to help your organization meet the requirements of these frameworks.
Explore Further
How does Lattix secure AI training data?
Lattix keeps training data wrapped in policy as it's assembled, so only authorized pipelines can incorporate it and data that shouldn't be used — by classification, consent, or license — is denied at the data layer. Every admitted record is logged to a tamper-evident ledger for verifiable provenance.
Can Lattix prevent sensitive data from leaking through model outputs?
By keeping unauthorized and sensitive records out of training and fine-tuning corpora in the first place, Lattix reduces the risk that a model memorizes and regurgitates data it should never have held.
How does Lattix establish training data provenance?
Every piece of data admitted to a training or fine-tuning run is recorded to a tamper-evident ledger, giving you verifiable provenance — what data went in, from where, and under what consent or license terms.
Does this help prevent data poisoning?
Yes. Because only policy-authorized, provenance-tracked data can enter the pipeline, unauthorized or tampered inputs are blocked and detectable, reducing poisoning risk and leaving a trail to investigate.
Secure What Your Models Learn
Tell us about your training and fine-tuning pipelines, and we'll show you how Lattix enforces access, consent, and provenance on your data.
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