Privacy Management Tools in 2026: Features, Pricing & Trust Scores

The Leading Platforms

OneTrust The most widely adopted privacy platform, OneTrust offers a modular suite covering consent, DSARs, vendor risk, data mapping, DPIAs, and AI governance. It supports 200+ regulatory templates and suits large enterprises operating across multiple jurisdictions. Pricing starts around $50,000–$150,000+/year with custom quotes; renewal uplifts of 10–27% have been reported. Implementation can be complex, and some organizations rely on external consultants for configuration. TrustArc In the market since 1997, TrustArc combines privacy software with regulatory intelligence (Nymity Research) and managed services. PrivacyCentral covers 130+ standards with AI-powered evidence analysis and multi-jurisdictional automation. Pricing is enterprise-level, comparable to OneTrust. Best for large multinationals in regulated sectors like finance and healthcare that value embedded advisory services alongside the platform. Osano Osano targets small and mid-sized businesses with a streamlined platform for consent, DSARs, vendor risk, and policy generation. Its transparent pricing includes a free tier, and the “No Fines, No Penalties” pledge signals compliance confidence. Paid plans are significantly more affordable than enterprise platforms. The trade-off is fewer advanced governance and analytics features for heavily regulated organizations. BigID BigID specializes in ML-powered data discovery and classification across structured and unstructured environments. It answers the foundational question “where does our personal data live?” and supports GDPR, HIPAA, and CCPA compliance mapping. Pricing is enterprise-level. BigID focuses on backend intelligence rather than consent, so it is typically paired with a consent management tool for full coverage. Ketch Ketch represents the newer generation of privacy orchestration platforms. Instead of just collecting consent, it propagates privacy choices into data warehouses, ad platforms, CRMs, and AI models with proof of enforcement. No-code deployment and transparent pricing with no mandatory support fees keep implementation lean. Best for data-intensive companies in martech, adtech, and e-commerce. Securiti.ai Securiti offers an all-in-one approach combining data discovery, consent, rights automation, breach management, and security controls. Named a leader in AI-powered data privacy by IAPP and Forrester, the platform automates classification and compliance across multi-cloud environments. Pricing is enterprise-level with custom quotes. The learning curve is steeper than lighter alternatives, and its partner ecosystem is smaller than longer-established vendors.

The Blind Spot: Who Evaluates the Evaluators?

These platforms help organizations manage privacy compliance — but what about the vendors’ own data practices? A privacy management tool processes some of the most sensitive data in your organization: data maps, risk assessments, DSAR records, and consent logs. Whether that data feeds AI model training, how long it is retained, and whether you can opt out are questions most vendor demos do not address.

Where TrustThis Fits

TrustThis is not a privacy management tool and does not compete with any platform listed above. It is an independent intelligence layer that complements your vendor evaluation. The AI Trust Score (AITS) evaluates vendors across 20 criteria in three categories: Privacy fundamentals (transparency about data handling), AI Data Use (whether the vendor uses your data to train models), and AI Governance (maturity of the vendor’s AI framework). Evaluations are based on publicly available evidence — privacy policies, terms of service, security docs — using a standardized methodology aligned with ISO/IEC 27701, ISO/IEC 42001, LGPD, and GDPR. The AI Data Use criteria (C13–C15) carry the highest weight in the methodology because they answer the market’s number one concern: “Will my data train this vendor’s AI?” For organizations evaluating privacy tools, this is especially relevant — the data you upload into these platforms is inherently sensitive.

Using AITS in Your Procurement Workflow

AITS reports add value at three moments. During shortlisting, they surface red flags in AI data use or privacy transparency that feature comparisons miss. During due diligence, the standardized format lets legal, IT, and procurement review the same evidence without duplicating effort. During contract negotiation, red flags translate directly into contractual clauses — if a vendor scores poorly on AI training opt-out, your legal team knows exactly what to negotiate.

Frequently Asked Questions

What is the best privacy management tool for small businesses? Osano offers the most accessible entry point with a free tier, transparent pricing, and an interface that does not require dedicated privacy engineering resources. How much do privacy management tools cost? From a few hundred dollars per month for consent-focused tools to $50,000–$150,000+/year for enterprise suites like OneTrust, TrustArc, and Securiti. What is an AI Trust Score (AITS)? An independent framework by TrustThis that evaluates software vendors across 20 criteria covering privacy transparency, AI data use, and AI governance. It provides standardized, evidence-based scores for objective vendor comparison. Learn more at trustthis.ai. Last reviewed: February 2026 (v1). For AITS evaluations of the tools listed here, visit trustthis.ai.