Jan 28
4 min
Fine-tuning LLMs on Sensitive Data Leads to 19% PII Leakage
Findings from privacy expert David Zagardo reveal PII leakage risks when fine-tuning are very high, reporting a 19% PII leakage rate.
Secludy transforms sensitive unstructured text data into anonymised synthetic data replicas
ML/AI Engineers trust Secludy's enterprise GenAI SaaS platform to transform sensitive data into PII-free, high-fidelity synthetic training data.
- Eliminate hallucinations
- Knowledge-Graph constrained
- Ensures 100% factual responses
- Trustworthy, explainable reasoning
- 10% performance increase.
- Upsample rare-cases.
- Diversify data to mitigate bias.
- Run LLM evals using realistic data.
- Adapt agents for edge cases
- Multi-hop agentic reasoning
- Fine-tune specific agent use-cases
- Deploy privacy-guaranteed agents
Secludy unlocks new agentic AI use-cases through merging GraphRAG’s knowledge-driven reasoning with mathematically anonymized datasets.
Secludy leverages Differential Privacy to provide rigorous privacy guarantees when generating synthetic data from private datasets
All downstream synthetic data generation tasks inherit the same privacy protections as the source Differentially Private fine-tuned LLM
With one-click deployment, integrating Secludy is as simple as updating a few lines of code. Our platform seamlessly plugs into your existing workflows, eliminating complex setup so you can start generating privacy-preserving synthetic data instantly.
We offer comprehensive customer support to ensure your success with Secludy. Our team of experts is available 24/7 to provide guidance, answer questions, and help with troubleshooting any issues you may encounter.
We take security seriously and are committed to protecting your data. You can self-host Secludy to ensure your data is always secure and only accessible by you.
At Secludy, we provide Privacy Enhancing Technology solutions to help you get the most out of your data. Our pricing plans offer a range of features to suit any budget and needs.
Differential Privacy fully anonymizes synthetic data, making it out of scope for GDPR, while legacy data masking only pseudo-anonymizes, leaving companies subject to GDPR requirements like data deletion requests. This creates a major challenge because it's currently impossible to remove training data from a model without deleting or retraining it. Our DP approach produces synthetic data that is truly safe, even under attack, and passes on robust privacy protections to all downstream tasks. As a result, training with DP synthetic data doesn't require deleting or retraining models to maintain compliance.
Transform sensitive data into privacy-guaranteed training sets that empower your AI development without restrictions. Our differential privacy technology enables unrestricted LLM fine-tuning while automatically ensuring compliance and eliminating privacy risks. Deploy faster, innovate freely, and scale your AI capabilities without compromising data security
To explore Secludy's capabilities, simply click "Schedule a Demo" on our website. Fill in your details, and we'll arrange a personalized demonstration to show how our tool can seamlessly integrate into your systems and empower your team with privacy-compliant fine-tuning.
Secludy is designed for data scientists and ML engineers with experience in text data generation and using LLMs. Our API and configurable privacy parameters make implementing DP straightforward for teams familiar with standard synthetic data workflows and LLM usage.
Absolutely! Secludy offers an enterprise-level plan with the option for self-hosting, ensuring full control over your data and tools. Whether it's in your private cloud or on-prem, our solution adapts to your unique security and compliance needs.
If you have any further questions about Secludy, please do not hesitate to contact us.
