DeepKeep Model Scanning vs Lorica Private Pursuit: Side-by-Side Comparison (2026)

DeepKeep Model Scanning

Teams shipping AI models to production without pre-deployment security vetting should start with DeepKeep Model Scanning; it catches embedded threats, poisoned weights, and dependency vulnerabilities that standard SAST tools completely miss. The combination of static model analysis with dynamic threat pattern testing directly addresses ID.AM and ID.RA gaps most ML pipelines have today. Skip this if your models are already locked behind strict code review processes and you have security staff trained specifically on model tampering attacks; DeepKeep assumes you don't yet have that maturity built in.

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.