NIST NCCoE Genomic Data PETs Testbed & Dioptra Webinar
NIST's practical work on AI model security and privacy-enhancing technologies informs international standards that Australian agencies may eventually reference.
Key points
- NIST NCCoE is hosting a June 9 webinar on Privacy-Enhancing Technologies testbed and Dioptra AI security platform.
- Work focuses on securing AI model training on sensitive genomic data using differential privacy and federated learning.
- Niche technical event with limited direct APS applicability; useful context for AI privacy and security practitioners.
Implications for Australian agencies
- Monitor Agencies with sensitive data holdings (including health or biometric data) may want to monitor NIST's PETs Testbed outputs as practical evidence on privacy-preserving AI training techniques.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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"NIST NCCoE Genomic Data PETs Testbed & Dioptra Webinar"
Source: NIST Information Technology RSS
Published: (undated)
URL: https://www.nist.gov/news-events/events/2026/06/nist-nccoe-genomic-data-pets-testbed-dioptra-webinar
NIST's National Cybersecurity Center of Excellence (NCCoE) is hosting a free webinar on 9 June 2026 showcasing its Privacy-Enhancing Technologies (PETs) Testbed and the Dioptra software testing platform. The session covers results from a 2025 red teaming exercise assessing privacy attack risks on genomic data analysed via federated learning, and seeks public input on future use cases. Dioptra is NIST's open platform for evaluating machine learning security, including attacks and defences. The work is relevant to agencies considering how to train AI models on sensitive or health-related datasets without compromising individual privacy.
Implications for Australian agencies:
- [Monitor] Agencies with sensitive data holdings (including health or biometric data) may want to monitor NIST's PETs Testbed outputs as practical evidence on privacy-preserving AI training techniques.
Retrieved from SIMS, 18 July 2026.