Analysis · curated 17 Aug 2026
Data Poisoning: Protect AI from Manipulated Data
First reported utimaco.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Data poisoning of RAG pipelines lets attackers influence model outputs without compromising the model itself, so defenders need to verify the provenance and integrity of retrieved and training data before inference.
A Utimaco blog post discusses data and model poisoning as integrity attacks against RAG and training pipelines, citing OWASP's classification of manipulation of pre-training, fine-tuning, and embedding data. The piece argues for verifying data integrity before inference using cryptographic digital signatures and HSM-protected signing keys, framed around Utimaco's General Purpose HSM offering.