Guide · Privacy
6 Best OneTrust Alternatives for AI Governance and Privacy Teams
Comparing OneTrust alternatives? See 6 options side by side on how they enforce policy, AI governance coverage, deployment, and pricing.
By Ethyca Team
Updated Nov 12, 2026 · 14 min read
Quick Summary
The strongest OneTrust alternatives for enterprise privacy and AI governance teams are Ethyca and Transcend for runtime policy enforcement. DataGrail and Ketch fit privacy requests, consent, and data mapping, and Securiti and BigID fit discovery-led data security. Ethyca is the pick for banks and other regulated enterprises because it checks the purpose of every data request, from a person or an AI agent, before it runs.
| Platform | Approach | AI governance | Best for |
|---|---|---|---|
| Ethyca | Purpose-based enforcement on every data request | Checks every agent call before it runs | Regulated enterprises enforcing AI and privacy policy |
| Transcend | Policy-as-code infrastructure | Rails controls agent actions at runtime | Engineering-led teams wanting controls as code |
| DataGrail | Automation with a human-approved AI agent | Shadow AI discovery and AI risk assessments | Privacy teams that want requests and a live data map |
What AI and privacy teams need from OneTrust alternatives
Your OneTrust renewal is on the calendar, and this time leadership also wants an AI governance program. AI agents already ask for customer data, your security team wants to know where it goes, and a review committee can’t answer at machine speed.
That changes what a OneTrust alternative has to do. Another tool that manages assessments and data maps can lower the invoice, but your policies still live in documents that someone applies by hand. A tool that enforces those policies when data is requested changes the work itself. It checks every request, whether it comes from a person, an app, or an AI agent, before it runs.
Ethyca was built for that second path, and it’s one of the six options below. We compare all six on how each enforces policy, how far its AI governance goes, where it runs, and how it’s priced.
Why trust us?
Ethyca started with open-source developer tools for privacy, and we still maintain Fides, a widely used open-source taxonomy for data governance and privacy. Today, more than 200 global brands use Ethyca, including SurveyMonkey, which moved over from OneTrust. It cut response time for data subject access requests (DSARs) from seven days to 48 hours.
That’s the vantage point behind this guide. We’ve seen what a privacy program looks like before and after it leaves OneTrust, and how it changes when AI agents start asking for data.
What is OneTrust?
OneTrust is a privacy, risk, and AI governance platform. It spans privacy automation, consent and preferences, third-party management, tech risk and compliance, AI governance, and EU AI Act compliance. In May 2025, OneTrust announced Data Use Governance, which turns data policies into query-level logic. Its Data Policy Enforcement capability launched in private preview and is still in early access as of October 2026.
Why teams look for OneTrust alternatives
Price usually starts the search. OneTrust doesn’t publish pricing, so the first real number you see is the renewal quote. What keeps teams looking is how they do the work.
- Policies are written down, but nothing enforces them: OneTrust pitched its Data Use Governance launch as closing this enforcement gap, but the enforcement piece is still in early access. Until then, someone on the data team still has to carry out a deletion or an access change.
- AI moved faster than the review process: Requests to use AI tools wait weeks for a committee that approves risks it can’t measure. Meanwhile, AI agents are already requesting data, and role-based access can’t distinguish one agent’s task from another’s.
- Assessments and inventories go stale: Each privacy assessment takes one to two weeks and starts from scratch. Analysts end up keeping vendors and assets in spreadsheets, so every decision rests on a data map nobody trusts.
- The learning curve is steep: OneTrust’s depth of configuration is a strength, but it takes time to learn, especially for non-technical teams.
None of this makes OneTrust the wrong choice for everyone. It’s rated 4.3 out of 5 on Capterra UK from 57 reviews. If your program leans on its third-party risk and governance, risk and compliance (GRC) modules, renewing can still cost less than rebuilding.
6 best OneTrust alternatives
| Tool | Approach | AI governance | Deployment | Best for | Pricing |
|---|---|---|---|---|---|
| Ethyca | Purpose-based enforcement on every data request | Astralis checks every agent call before it runs | Inside your own infrastructure | Regulated enterprises enforcing AI and privacy policy | No public pricing |
| Transcend | Policy-as-code infrastructure | Rails controls agent actions at runtime | Can run in your environment | Engineering-led teams wanting controls as code | No public pricing |
| DataGrail | Automation with a human-approved AI agent | Shadow AI discovery and AI risk assessments | Single tenant | Privacy teams that want requests and a live data map | No public pricing |
| Ketch | One permission decision across connected systems | AI governance and AI Sentry | Single tenant on Ketch Pro | Consent-heavy programs that want to start small | Free tier; paid from $150/month |
| Securiti | One graph across security, privacy and governance | AI agent and copilot security | Hybrid multicloud and SaaS | Security-led programs across hybrid cloud | No public pricing |
| BigID | Discovery-led data security platform | Discovers AI agents and models and governs their access | Agentless; FedRAMP High | Discovery and classification at scale | No public pricing |
1. Ethyca
Best for: Regulated enterprises enforcing AI and privacy policy
Ethyca is an AI governance platform that also runs the privacy program. It maps your internal policies and applicable regulations into machine-readable rules. It then checks every data request against those rules at runtime, whether the request comes from a person, an app, a SQL client, or an AI agent.
The core idea is Purpose-Based Access Control (PBAC), which grants or denies access based on each request’s purpose. Role-based access control (RBAC) can tell you an analyst may see transaction data. PBAC can tell you the same analyst’s fraud model may use it and the marketing model may not.
In short, OneTrust records what your policies say, and Ethyca enforces them when data is requested. SurveyMonkey moved from OneTrust to Ethyca and cut the time to answer data subject access requests (DSARs) from seven days to 48 hours.
Key features
- Runtime enforcement: Evaluates each request’s purpose and allows it, denies it, or flags the risk, at 150,000 policy decisions per second.
- One policy everywhere: Applies the same policy across warehouses, SQL clients, BI tools, MCP servers, AI agents, notebooks and web apps, through Ethyca’s integrations.
- Audit trail: Logs every access decision so that you can reproduce it for a regulator or auditor.
- Regulatory reasoning: Uses Ethyca’s Large Language Risk and Regulatory Model to judge the risk in each AI data decision.
- Privacy as Code: Builds every rule on Fides, Ethyca’s open-source ontology and policy language for data governance and privacy.
- Data inventory and consent: Maps your data with Helios and orchestrates consent with Janus, resolving consent in under 1 ms at the edge.
- Automated DSRs: Fulfills data subject requests (DSRs) with Lethe in 17.2 seconds instead of 15 hours, by Ethyca’s count.
Pros
- Enforcement that keeps up with AI agents, checked on every request
- Runs inside your own infrastructure, backed by a 99.9% uptime SLA
- Customers include The New York Times, WeTransfer, and Ramp
Cons
- Built for mature programs hitting scale problems, not teams starting from zero
- Setup needs a small, part-time engineering commitment, though Ethyca’s mission engineers help
Pricing model: No public pricing; quoted on request.
2. Transcend
Best for: Engineering-led teams wanting controls as code
Transcend calls itself a real-time data governance and decision layer for enterprises scaling agents and AI.
It encodes data permissions into the systems that process your data, and its Sombra architecture lets you run the platform in your own environment.
Key features
- Rails: Controls what each AI agent can browse, spend, and deploy at runtime, written as policy-as-code.
- Decision API: Lets agents check what they can access and do through an API built on the Model Context Protocol (MCP), with no rewrite of your data plane.
- Consent enforcement: Enforces consent across web, mobile, and backend systems once it’s collected.
- Closed-loop DSRs: Fulfills DSRs automatically and keeps system-level proof of each request, from intake to fulfillment.
Pros
- Built for engineers, with an API-first design
- Runtime controls for AI agents through Rails
- Option to run the platform in your own environment
Cons
- You’ll need engineers close to the rollout, because the controls live in code and infrastructure
- Since Rails launched in October 2026, its agent controls have a short track record, and new trial users join a waitlist
Pricing model: No public pricing; quoted on request.
3. DataGrail
Best for: Privacy teams that want requests and a live data map
DataGrail calls itself an agentic data privacy platform. It pairs automation with people. Vera, its AI privacy agent, recommends actions and carries them out once you approve, and every customer gets a named human expert.
Under the hood, it runs a single tenant and says it doesn’t train its AI on your data. For homegrown systems, DataGrail offers a containerized agent you deploy in your own network, so requests can reach internal databases and SaaS tools. That makes it a practical fit when your DSR backlog spans both.
Key features
- Live Data Map: Detects new systems and processes as they appear in your stack.
- Request Manager: Fulfills DSRs across 2,500 apps, by DataGrail’s count.
- Vera: Recommends privacy actions and takes them with your approval.
- AI governance: Discovers shadow AI across 2,500+ integrations and adds AI risk questions to your data protection and privacy impact assessments (DPIAs and PIAs).
Pros
- Wide integration coverage for DSR fulfillment
- A named human expert for every customer
- Customer stories from Netgear, Poppulo and nCino
Cons
- Its AI governance finds and assesses AI systems, but DataGrail doesn’t describe checking an AI agent’s request for data at the moment of use
- Systems without an API fall back to Direct Contact, where a system owner fills in a form to fulfill each request by hand
Pricing model: No public pricing; quoted on request.
4. Ketch
Best for: Consent-heavy programs that want to start small
Ketch describes itself as permissioning infrastructure. You see the live system, make one permission decision, and Ketch enforces it across connected systems with an audit record. It says more than 3,500 brands use it.
Ketch is built to grow with you. Most teams start with its consent management platform, then add paid Discovery, Permissioning, and Growth workflows as their program matures. For a team leaving OneTrust, that makes it a natural replacement for the cookie banner and preference center first, with data discovery and AI governance as later steps.
Key features
- Ketch Free: Runs a full consent management platform (CMP) at $0 a month for sites under 5,000 unique monthly users.
- Permissioning: Ties consent, DSR automation, and risk reporting to one permission decision.
- Data Sentry: Reveals privacy vulnerabilities in your data before regulators or plaintiffs’ attorneys find them.
- AI Sentry: Catches unauthorized data use in real time, alongside Ketch’s AI Governance module.
Pros
- A free tier for smaller sites, and published prices from $150 a month
- Strong marketing preference tools
- Single-tenant data residency on Ketch Pro
Cons
- The free tier stops at 5,000 unique monthly users and leaves out DSR automation, so an enterprise program will land on Pro
- Its roots are in consent and marketing permissions, so test how deep its AI governance goes for your use cases
Pricing model: Free at $0 for sites under 5,000 unique monthly users. Starter is $150 a month, billed monthly. Plus starts at $499 a month, billed annually. Pro is custom-priced.
5. Securiti
Best for: Security-led programs across hybrid cloud
Securiti, now part of Veeam, calls its product a DataAI Command Platform. It covers data security posture management (DSPM), data governance, privacy automation, and AI security across hybrid multicloud and SaaS.
Underneath sits a knowledge graph it calls the DataAI Command Graph, with more than 1,000 integrations.
Key features
- DSPM and access governance: Finds sensitive data across clouds and SaaS and controls who can reach it.
- Agent Commander: Detects AI risk, protects AI systems, and undoes AI mistakes, including for agents and copilots.
- AI firewalls: Screens prompts, retrievals and responses in AI interactions.
- Privacy automation: Automates data mapping, DSRs, assessments and consent.
Pros
- One platform across security, privacy and AI
- Broad coverage across hybrid multicloud and SaaS
- Owned by Veeam since December 2025, which plans to pair it with backup and recovery for data, models and agents
Cons
- The platform is wide, so list the modules you need before you compare quotes
- Veeam hasn’t published a timeline for combining the two products, so ask how Securiti will be packaged and priced going forward
Pricing model: No public pricing; quoted on request.
6. BigID
Best for: Discovery and classification at scale
BigID is a platform for security controls, compliance, privacy automation, and AI governance. It’s known for discovery. BigID says it was named a Leader in The Forrester Wave for Sensitive Data Discovery and Classification, Q2 2026, and placed first among 20 vendors in Intuit’s classification challenge.
In practice, it first builds an inventory of your sensitive data across cloud, SaaS, and mainframe, then layers security, privacy, and AI governance controls on top. For a team leaving OneTrust, that means discovery leads, and privacy workflows build on the map it creates.
Key features
- Discovery and classification: Scans cloud, SaaS, and mainframe data without installing agents.
- AI governance: Discovers AI agents and models and governs what each one can reach.
- Secure by design: Connects with no inbound ports and outbound TLS only, and lets you bring your own keys.
- FedRAMP High: Holds FedRAMP High authorization, the highest level for US federal cloud systems.
Pros
- Discovery depth, from cloud and SaaS down to mainframe
- Government-grade security, including FedRAMP High
- Fiserv among the customers quoted on its site
Cons
- Built around data security, so privacy workflows are one part of a larger platform
- Check consent coverage if you’re also replacing OneTrust’s cookie banner
Pricing model: No public pricing; quoted on request.
How we chose these OneTrust alternatives
We looked for tools a large enterprise could use to replace OneTrust’s privacy core, then compared them on what changes the work:
- Approach: does the tool manage workflows and records, or enforce policy on data as it’s used?
- AI governance: inventories and assessments, or runtime control over what models and agents can touch?
- Privacy coverage: data mapping, DSRs, consent, and assessments
- Deployment: SaaS, single tenant, or inside your own environment
- Pricing model: published tiers, a free entry point, or quote only
Cookie-banner tools such as Cookiebot, Termly, and iubenda aren’t on the list. They’re a good fit for smaller sites, not for replacing an enterprise privacy program.
How to choose a OneTrust alternative
Start with what’s breaking in your program, then test each vendor against it:
- Price is the main problem: List the OneTrust modules on your order form and get quotes for the same scope from each vendor. A like-for-like swap is the fastest switch, but it keeps the same manual workflows.
- Assessments and inventories are always stale: Ask each vendor how its data map finds a new system, and how long that takes on an estate your size. If the answer is a scheduled scan or a manual update, the spreadsheet comes back.
- AI agents are reaching data with no controls: Ask each vendor to show an agent’s request being denied at runtime, and the log entry your auditors would see. An AI inventory tells you what agents might do, but only runtime enforcement changes what they actually do.
- Discovery is the bottleneck: Ask how the tool classifies data at scale, including files in SharePoint and OneDrive, and whether it reads file contents or only metadata. Content scanning costs more compute, so weigh coverage against cost.
- Security needs to sign off: Ask where the tool runs and whether your regulated data ever leaves your environment. For banks and other financial institutions, that answer can decide how long security review takes.
- You use OneTrust beyond privacy: If you rely on its third-party risk or GRC modules, confirm each alternative covers them, or budget for a separate tool. One platform means one contract, while specialists tend to go deeper on one job.
Whichever you pick, plan the move around your OneTrust renewal date, and check the order form for the notice period and any escalation clause.
Which OneTrust alternative is right for you?
The right OneTrust alternative depends on what’s breaking in your program. If AI agents are already asking for data, you need policy enforced at the point of use, which points to Ethyca or Transcend. Ethyca fits when your policies already exist on paper, and the job is enforcing them across people, systems, and AI agents. Transcend fits when engineers run your privacy program and want every control in code.
For a DSR backlog and a stale data map, DataGrail is the closest fit. Ketch suits consent-heavy programs that want to start small. When your CISO owns the program, Securiti puts privacy and AI on the same platform as data security, while BigID helps if you can’t find your data in the first place. Teams that use most of OneTrust’s modules, including third-party risk, should price out replacing each one before they move.
If AI is moving faster than your governance can review it, book a demo with Ethyca. We’ll show Purpose Based Access Control blocking a request in real time, and the decision log your auditors would see.
Frequently asked questions about OneTrust alternatives
It depends on what you need OneTrust to do. For runtime enforcement of AI and privacy policy, Ethyca and Transcend are the closest fits. For DSRs and data mapping, DataGrail. For consent on a budget, Ketch. For discovery-led security programs, BigID or Securiti.
For consent management on smaller sites, yes. Ketch’s free tier covers sites under 5,000 unique monthly users, and its paid plans start at $150 a month. For an enterprise program, OneTrust and the other alternatives here quote on request. Compare quotes for the same scope, and check your OneTrust order form for escalation clauses before you negotiate.
All six cover AI governance in some form. Ethyca and Transcend enforce policy on AI agents at runtime, BigID and Securiti discover and secure AI models and agents, and DataGrail discovers shadow AI and assesses its risk, while Ketch adds AI Governance and AI Sentry. OneTrust has its own AI Governance product and Data Use Governance, whose enforcement capability is still in early access.
Purpose Based Access Control grants or denies access to data based on the purpose of each request, checked at runtime. Role-based access control asks who you are. PBAC asks why you want the data, so the same AI agent can use a dataset for one job and be blocked from it for another.
It depends on how many OneTrust modules you replace and how many systems you connect. Ethyca says its enterprise deployments take weeks. Whichever tool you choose, plan the move around your OneTrust renewal date and notice period, and ask each vendor for a written migration plan before you sign.
See PBAC block a request in real time
We'll show Purpose Based Access Control blocking a request, and the decision log your auditors would see.