PrivIQ Data Privacy Risk Management vs OneTrust
A practical comparison for privacy, risk and compliance teams evaluating where to run their programme – and for consultants choosing the engine they will deliver client work on.
The short version
One configurable engine versus a suite of separately-licensed modules.
OneTrust is an established enterprise platform for large global organisations with the budget and engineering capacity to operate a multi-module GRC suite. PrivIQ Data Privacy Risk Management is built for mid-market organisations, regulated mid-tier enterprises and consultancies – one configurable platform covering privacy compliance, AI governance, third-party risk and tailored GRC, with tier-based pricing scaled to organisation size.
If your programme is mid-market, multi-jurisdictional and needs AI governance and third-party AI risk alongside privacy, PrivIQ is usually the more practical choice. If you run a centralised, multi-thousand-seat global compliance function with a dedicated GRC engineering team, OneTrust remains a credible enterprise option.
Why this comparison exists
The reality of running a legacy enterprise suite.
01
Built for the enterprise of 2012
02
No unified roll-up across disciplines
Each module runs as its own product line. Without a single roll-up dashboard or quick switching point across privacy, AI and vendor risk, programme owners stitch the cross-discipline view together manually – or buy yet another reporting layer to do it.
03
Configuration requires consultants
04
List-price negotiations, not transparent pricing
Quotes scale with seat counts, modules, regions and data volumes. Year-on-year renewals rarely behave like the original quote suggested.
Feature-by-feature
Where the two platforms diverge.
PrivIQ
Data Privacy Risk Management
OneTrust
Privacy & Data Governance
Core model
Framework coverage
16+ frameworks ship configured: GDPR, UK GDPR, POPIA, POPIA Public, CCPA / CPRA, LGPD, KVKK, PDPL, KDPA, DPDPA, PDPA, NDPR / NDPA, PIPEDA, USCP, GPDP, DPDx.
Broad framework library, but framework activation and tailoring typically routes through paid services engagements.
AI governance
Native NIST AI RMF model. Use-case register, AI vendor due diligence and human-oversight records included by default.
AI governance available as a separate module. Maturity varies; AI vendor due diligence often layered on top of standard vendor risk.
Third-party risk
Implementation time
Configuration model
Pricing
Tiered by organisation size (employee count) with unlimited users at every tier. Prices are not published – quoted on request. Multi-tenant pricing for consultants and DPO-as-a-service practices.
Per-module, per-seat and per-region pricing negotiated under NDA. Renewals often re-priced against current list.
Consultant / multi-tenant
AI assistance
Hosting
EU and South Africa AWS regions.
Best fit
Total cost of ownership
What you actually pay for, over three years.
PrivIQ Data Privacy Risk Management
Tiered by organisation size. Unlimited users at every tier.
- Tier-based pricing scaled to organisation size (employee count)
- Unlimited users at every tier - no per-seat economics
- Prices not published - quotes issued on request
- Configurable by privacy, risk and consultant users without code
- AI-assisted, human-verified across creation, ongoing operation and analysis
- Hosting in EU and South Africa AWS regions included
Typical legacy enterprise suite
Module-by-module licensing, services-heavy delivery.
- Per-module, per-seat and per-region pricing under NDA
- Framework activation and customisation through professional services
- Configuration changes typically routed through certified partners
- AI modules priced as add-ons to the core suite
- Multi-tenant consultant capability uneven across modules
- Hosting region availability varies per product
Making the move
A switch you can finish inside one cycle.
01
Data migration
02
Framework mapping
03
Run in parallel
Run PrivIQ alongside your incumbent for one cycle. Most teams complete the cut-over inside 60-90 days, including evidence catch-up.
Built for both sides
Rated 4.7 on G2.
Read in their words.
375+ teams in 36+ countries use PrivIQ to run privacy, AI governance and risk programmes – from independent DPO consultants to global enterprise compliance teams.
"Perfect support for a complex and high responsibility job"
"Easy to Use Robust Privacy Management Platform"
"I use PrivIQ as a privacy advisor to accelerate client success and simplify ongoing compliance"
"The DPOs best buddy"
"Best Privacy Solution for POPIA and GDPR"
"A Great Data Privacy Compliance tool"
"Seamless approach for Privacy Professional and DPOs alike in setting the scene"
"Embeds PoPIA into the business"
"Best Solution For Our Business"
"PrivIQ is a stable platform providing clear risk management priorities."
"Best Compliance App"
"Simple, versatile, cost effective compliance management software"
"Simple take on, great support"
Test
G2 Awards · Spring 2026
- Best Software 2026
- Momentum Leader - Data Breach Notification
- High Performer - EMEA · Asia
Comparison FAQs
Questions we hear most.
Yes for most mid-market and mid-tier enterprise use cases. PrivIQ delivers data mapping, ROPA, DSARs, breach response, processor oversight, DPIAs, TIAs and consent records out of the box, with 16+ frameworks. Buyers running highly customised, multi-thousand-seat OneTrust environments should book a scoping call to map specifics.
PrivIQ Third-Party Risk Management is a separate workspace within the same platform – accessed from the same roll-up dashboard, switched into with one click. Risk-based classification, privacy and AI vendor assessments and remediation are included rather than priced as a separate module.
PrivIQ AI Governance is structured against NIST AI RMF with use-case register, AI vendor due diligence, human-oversight records and policy lifecycle. For organisations using AI – rather than building foundation models – PrivIQ is typically deeper out of the box than bolt-on AI modules.
See PrivIQ side-by-side with what you run today.
Book a 30-minute walkthrough. We’ll map your current scope to PrivIQ and share a TCO model.