Aurascape is a commercial AI SPM solution by Aurascape. Productiv Platform is a commercial shadow IT discovery solution by Productiv. Features, integrations, deployment and the company behind each one, side by side.
What our shortlists say about the one we picked.
Best for: Teams controlling staff use of AI apps
It makes the list for the workforce side of AI risk, where the question is what your people paste into AI apps, not how your own models are built. That fits mid-market and enterprise teams whose AI exposure is mostly assistants and chat apps. If you also build AI in house, you will likely need a second product for the cloud and model side.
From Best AI SPM Solutions for Business, Fall 2026
Reviewed by Nika (Nikoloz) Kokhreidze.
AI security platform for visibility & control over enterprise AI app usage.
SaaS and AI application management platform with visibility and control
See more solutions in this category, or build a security stack from your picks.
Need the answer fast? Best AI SPM Solutions for Business picks Palo Alto Networks Prisma AIRS, Zscaler AI-SPM, Cyera Agent Guardian and 4 more.See the shortlist
Based on what each listing shows: deployment, company size, price and open source.
Productiv Platform fits if you are a small business.
Common questions when comparing Aurascape vs Productiv Platform for AI SPM.
Aurascape: AI security platform for visibility & control over enterprise AI app usage. Built by Aurascape.
Productiv Platform: SaaS and AI application management platform with visibility and control. Built by Productiv.
The table above shows where their features, integrations, deployment and company size fit differ.
Aurascape is made by Aurascape. Productiv Platform is made by Productiv. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
In part. Aurascape and Productiv Platform are not in the same category on CybersecTools. Both cover Visibility. Use the table above to see where features, deployment and company size fit differ.