Duality Secure AI Collaboration Platform vs Lorica Private Pursuit: Side-by-Side Comparison (2026)

Duality Secure AI Collaboration Platform

Enterprise security and ML teams that need to train models on sensitive external data without exposing it will find real value in Duality Secure AI Collaboration Platform; the platform's multi-party computation approach lets you collaborate on datasets you'd normally keep behind walls. The hybrid deployment model and support for traditional ML through generative AI workloads means you're not locked into one model type or cloud provider, and NIST coverage across data security, platform security, and asset management confirms the security controls are intentional rather than bolted-on. Skip this if your primary constraint is cost or if you need out-of-the-box integrations with legacy on-premises data warehouses; Duality's value proposition assumes you've already committed to moving compute toward your data rather than moving data toward your models.

Lorica Private Pursuit

Organizations running AIaaS platforms or analytics services on shared infrastructure need Lorica Private Pursuit to process sensitive customer data without exposing it to the platform itself, solving the trust problem that blocks enterprise adoption. The tool maps to all three NIST Protect functions,data security, platform security, and infrastructure resilience,because it encrypts data end-to-end while keeping computation isolated, meaning your customers' models and datasets stay opaque to you and your cloud provider. Skip this if you're building internal AI tools; the overhead only pays off when your business model depends on handling other people's confidential workloads.