fine-tuning-security

What problem does it solve?

Fine-tuning does not inherently preserve safety; this skill helps identify and mitigate poisoned training data, backdoor triggers, RLHF manipulation, and dataset contamination that survive re-training.

Core Features & Use Cases

• Data provenance and poisoning defense across the full fine-tuning lifecycle.
• Backdoor trigger detection, behavioral baselining, and rollback/promotions controls.
• Guidance for minimum deliverables and quick wins to harden pipelines.

Quick Start

Audit and harden your fine-tuning workflow by enabling data provenance, anomaly detection, and a security evaluation baseline before promoting any checkpoint.