Top 6 Protecto Alternatives and Competitors in 2026

The best Protecto alternatives for 2026: 1. Enigma Vault (NoPII), 2. Limina, 3. Grepture, 4. Protegrity, 5. Skyflow, 6. Nightfall AI.

Protecto is an AI data control plane that finds sensitive data and masks it before it reaches LLMs, AI agents, RAG pipelines and MCP tools, and G2 lists it under Data Masking, Sensitive Data Discovery, Data Privacy Management and AI Security Solutions. Across the G2 reviews of the alternatives below, buyers keep coming back to the same points: Ease of use and setup (Ease of Use is Nightfall AI’s most-mentioned strength on G2, with 12 mentions), detection accuracy, quality of support, and price.

The best overall alternative to Protecto is Enigma Vault (NoPII), an LLM privacy proxy that tokenizes PII before it reaches the model provider and restores it in the response, free for one million protected tokens a month. Other well-known alternatives to Protecto are:

• Limina (formerly Private AI): Best suited to on-prem de-identification in 52 languages (G2 rating 4.6 from 22 reviews)
• Nightfall AI: Offers data loss prevention that stops employees and agents leaking data into AI tools (G2 rating 4.6 from 101 reviews)
• Protegrity: Best for enterprise tokenization across AI and analytics pipelines (G2 rating 4.5 from 14 reviews)
• Grepture: Known for a low-cost, EU-hosted AI gateway for small teams (no G2 reviews yet)

Every rating in this guide links to the product’s G2 or Capterra page, so you can read the verified reviews behind each like, dislike and score for yourself.

Disclosure: Enigma Vault publishes this comparison and appears in it, first. Every competitor fact comes from that vendor’s own public pages.

Top 6 Alternatives to Protecto at a Glance

TL;DR

• Enigma Vault (NoPII) (4.2/5): A tokenizing proxy you adopt by changing one base URL. Free for one million tokens a month, then $50. Hosted only.
• Limina (3.9/5): 50+ entity types in 52 languages, deployable on-prem or in your VPC. Quote-based beyond a small free plan.
• Grepture (3.9/5): An open-source, EU-hosted AI gateway with reversible redaction from $49 a month.
• Protegrity (3.4/5): Enterprise tokenization and masking across AI and analytics, with a free developer edition.
• Skyflow (2.9/5): An enterprise privacy vault with a GenAI product and the longest certification list. Sales-led pricing.
• Nightfall AI (2.5/5): Data loss prevention for employee and agent AI use. Blocks or redacts rather than restoring values.

Why Teams Look for Protecto Alternatives

Protecto has real strengths: Broad entity coverage, fully air-gapped deployment, and published SOC 2 Type II, ISO 27001 and a HIPAA BAA. These are the four reasons buyers most often look elsewhere.

• Pricing needs a sales call: Protecto’s pricing page is no longer live, and its help center says the price depends on how many data sources you connect.
• Masking lives in your code: Your application calls Protecto’s APIs or Python SDK to mask data before each model call and unmask it afterward.
• The platform is broad: Discovery, access control (CBAC), a privacy vault, DeepSight and GPTGuard come as one platform, which is more to adopt when the job is protecting prompts in one product.
• There are no reviews to check: Protecto is listed on G2 and Capterra but has no reviews on either yet.

How We Scored These Protecto Alternatives

We scored every provider on the same six criteria, weighted for a team protecting the data its own applications send to LLMs. Weights sum to 100%, and the score in the table is the weighted result.

• Pricing transparency and entry cost (25%): Whether you can size it without a sales call, and whether a real free tier exists.
• Reversible tokenization (20%): Whether the model keeps context and your app gets real values back.
• Integration effort (15%): How much code changes to protect the first request.
• Deployment options (15%): Hosted, VPC, on-prem or air-gapped.
• Detection coverage (15%): Entity types, languages and custom entities.
• Compliance evidence (10%): What the vendor publishes on its own trust pages.

This is an editorial comparison published by one of the vendors in it. Weight deployment options higher and Limina leads; weight compliance evidence higher and Skyflow climbs.

The 6 Best Protecto Competitors and AI Data Privacy Alternatives

Each review covers what the product is, what it does, what it costs, where it falls short, and what verified G2 reviewers say.

NoPII is an LLM privacy proxy from Enigma Vault. It detects sensitive values in each request, tokenizes them before the request reaches the model provider, and restores the real values in the response, so your application and your users never see a token.

For a Protecto buyer the difference is how much you build. Protecto gives you APIs and an SDK to mask and unmask data inside your own code. NoPII sits in the request path: You change your model client’s base URL, and detection, tokenization, forwarding and restoration happen in the proxy.

The trade is deployment. NoPII is a hosted proxy, so teams that must keep processing inside their own VPC or an air-gapped network are better served by Protecto or Limina.

Key features

• Base URL swap: Point your existing OpenAI-style client at the NoPII endpoint; no new SDK or middleware
• Consistent tokens: The same value gets the same token every time, so multi-turn conversations and reasoning stay coherent
• Detection: 30+ configurable entity types, plus 14 families of secrets and API keys caught in the same pass
• Streaming: Standard and SSE responses are restored on the fly as chunks arrive
• Fail-safe by default: If tokenization fails, the request is blocked rather than forwarded
• Context phrase neutralization: Phrases that trigger model refusals on tokenized text are handled in the proxy
• Token retention: Free tier tokens expire after one day; Pro and Enterprise set retention from one day to permanent
• 9+ model providers under one proxy, including OpenAI, Anthropic, Gemini, xAI, DeepSeek, Mistral, Groq, Together and Fireworks

Pricing

A protected token is any input or output that passes through the proxy: Prompts, model responses and full API content. All providers are available on every plan.

Pros

• Published pricing, with a permanent free tier of one million tokens a month
• Tokenization rather than redaction, so the model keeps the context and your app gets real values back
• Fastest integration on this list: A base URL change instead of mask and unmask calls in your code
• Built on the Enigma Vault, which is PCI DSS Level 1 and SOC 2 Type II, with a BAA available on Enterprise

Cons

• Hosted only; there is no self-hosted, VPC or air-gapped deployment
• Covers LLM API traffic your application routes through the proxy, not employee use of chat tools in a browser
• 30+ entity types is narrower than Protecto’s stated 200+ or Limina’s 50+ in 52 languages
• Detection coverage should be tested on your own data, because unrecognized values can still pass through

What users say

Likes and dislikes: NoPII’s only G2 review so far was written by a member of the Enigma Vault team, so we don’t quote it here. The wider Enigma Vault platform is rated 4.4/5 on G2 from 6 reviews and 4.8/5 on Capterra from 4 reviews.

NoPII is listed on G2 at 5.0/5 from 1 review.

NoPII Questions, Answered

Watch for: Test detection on a sample of your real prompts before you route production traffic, especially for any custom identifiers your business uses.

See how tokenization compares with masking for model inputs in our guide to tokenization vs masking vs redaction for AI, or start NoPII free.

Limina, formerly Private AI, detects and de-identifies personal, health, payment and confidential company data. Its LLM workflow removes identifiers from a prompt, sends the cleaned prompt to the model, and puts the original values back into the response.

For a Protecto buyer, Limina is the closest match on deployment. It runs as a container in your own data center or VPC, through the AWS, Azure and Snowflake marketplaces, or in Limina’s cloud.

Key features

• Wide entity coverage: Detects 50+ types of personal, health, payment and confidential company data
• Multilingual detection: Works in 52 languages, so support transcripts, contracts and records from different countries are covered by one tool
• Self-hosted container: Runs on-prem or in your own VPC, so data never leaves your environment
• Marketplace deployment: Available through the AWS, Azure and Snowflake marketplaces
• Batch processing: Handles large one-off jobs such as cleaning an existing dataset
• Prompt de-identification: Removes identifiers before an LLM call and puts them back in the response
• HIPAA expert determination: Reports from independent partners for de-identifying health data, priced separately

Pricing

The Starter plan is free, with 75 API calls a day (10 a minute) and file size caps. Batch and Enterprise plans are quote-based; Enterprise uses committed-volume pricing rather than consumption billing.

Pros

• Broad entity and language coverage
• Runs fully inside your own environment
• A free Starter plan to test detection on real files

Cons

• Reviewers call it pricey
• One reviewer finds balancing privacy and model performance complex
• The free Starter plan is capped at 75 API calls a day, too small for a real pilot

What users say

• Likes: Accuracy and fast anonymization: A reviewer praises accuracy, easy implementation and instant anonymization of PII (source).
• Dislikes: Cost and tuning: One reviewer calls it quite pricey (source), and another says balancing privacy and performance can be complex (source).

Rated 4.6/5 on G2 from 22 reviews, most written under the Private AI name. No Capterra listing found.

Watch for: Confirm the per-call volume you need early; the free Starter plan is sized for testing, not production.

For PHI-heavy workloads, read our guide to PII protection for LLMs in healthcare.

Grepture is an open-source AI gateway. Traffic to OpenAI, Anthropic or Gemini passes through its SDK and proxy, where it detects names, emails and API keys, masks them, and restores them in the response.

It suits a Protecto buyer who wants published, low prices and EU hosting more than enterprise deployment options.

Key features

• PII detection: Redaction with 50+ patterns on Free and 80+ detection rules on Pro and above
• Mask and restore: Reversible redaction with a token time-to-live, on Pro and above
• Drop-in setup: An SDK and proxy in front of OpenAI, Anthropic and Gemini calls
• EU hosting: All infrastructure in Frankfurt and Nuremberg, with EU-based subprocessors
• Open source: The full gateway code is on GitHub and can be self-hosted
• Zero-data mode: Processes requests without storing their content
• Gateway extras: Observability, routing, prompt management and cost tracking

Pricing

Pros

• Published prices with a free plan
• Open source, so you can self-host the gateway
• EU-hosted with a zero-data mode

Cons

• No security certifications are claimed; it describes itself as GDPR-ready
• Reversible mask and restore is not on the free plan, which also caps AI detection at 25 requests a month
• A young product with no independent reviews to check against

What users say

Reviews: No G2 or Capterra reviews yet.

Watch for: If you need a SOC 2 report or a BAA for procurement, Grepture does not list one.

Compare gateway-style and proxy-style PII protection in our guide to the LLM privacy proxy.

Protegrity is an enterprise data protection platform that tokenizes or masks sensitive values across AI agents, models and analytics pipelines. Its AI editions add discovery of PII in prompts, logs and unstructured text, real-time guardrails that score prompt and output risk, and controls over what agents can do with data.

It is one of the vendors Protecto compares itself against, and it overlaps most with Protecto’s enterprise side: Policy-driven protection across data platforms, with a free developer edition to start.

Key features

• Data discovery: Detect PII in prompts, logs and messages, even without schemas
• Inline protection: Tokenize or mask sensitive values while keeping joins intact
• Semantic guardrails: Score prompt and output risk in real time
• Synthetic data generated from real schemas
• Protection for prompts sent through a gateway and for employee chat prompts through a browser plugin
• Unified policy with inline enforcement across frameworks and hyperscalers

Pricing

The AI Developer Edition is free: SDKs download from GitHub, with an API key. The AI Team and AI Enterprise editions are sold through a demo, and prices are not published.

Pros

• Free developer edition to test discovery and protection on your own data
• Covers analytics and data platforms as well as AI traffic
• Reviewers at large companies rate it highest

Cons

• Reviewers call the price range a little high
• One reviewer says user friendliness could improve
• Small-business reviewers rate it lowest of the three company sizes

What users say

• Likes: Scale and support: A reviewer highlights vaultless tokenization that scales to large data protection efforts, deployed on-premises and in public cloud with little effort (source), and another praises fast fixes from a support team that knows its product (source).
• Dislikes: Price and usability: One reviewer finds the price range a little high (source), and another says user friendliness could improve (source).

Rated 4.5/5 on G2 from 14 reviews. No Capterra listing found.

Watch for: Start with the free developer edition to measure detection quality, then scope the Team or Enterprise edition from real volumes.

For the vault versus vaultless trade-off behind Protegrity, read our guide to vault vs vaultless tokenization.

Skyflow’s LLM Privacy Vault detects, isolates and protects sensitive data flowing into and out of AI agents across training, retrieval and inference. It uses tokenization and polymorphic encryption, and authorized callers can re-identify data when needed.

It is Protecto’s most direct enterprise rival: Both pair AI masking with a broader vault and access-control story, and both sell through sales conversations.

Key features

• Tokenization and polymorphic encryption: Protects values while authorized users can re-identify them
• Lifecycle coverage: Detection and redaction during data collection, model training, fine-tuning, RAG and inference
• Access control: Fine-grained rules over who can see which data, and for how long
• Agentic AI security: An AI and MCP security use case for agent workflows
• Data residency: Support for country-specific storage requirements
• Integrations: Snowflake, Databricks, Glean and ServiceNow are listed

Pricing

No prices are published. The pricing page routes to a demo request or Contact Sales.

Pros

• The broadest certification list here: SOC 2 Type II, ISO 27001:2022 and PCI DSS Level 1, with HIPAA and GDPR assessments
• Covers AI and non-AI data in one vault
• Explicit data residency support

Cons

• A reviewer reports occasional slowness on the system
• An enterprise program rather than a quick fix for one LLM feature
• The GenAI product has no independent reviews yet

What users say

• Likes: HIPAA-aligned storage: A reviewer values that the healthcare vault securely stores key and value pairs in line with HIPAA (source).
• Dislikes: Occasional slowness: The same reviewer has sometimes faced slowness on the system (source).

Skyflow for GenAI has no G2 reviews yet; Skyflow’s Healthcare and Payments vault listings have one 5.0/5 review each. No Capterra listing found.

Watch for: Ask early how pricing counts: Records, data subjects or requests. That decides the long-term cost more than any headline rate.

For the vault model behind Skyflow and Protecto, read our guide to the data privacy vault.

Nightfall is AI-native data loss prevention. It finds sensitive data as it moves across AI agents, MCP servers, endpoints and SaaS apps, and blocks or redirects risky actions such as pasting customer data into an unsanctioned chatbot.

It solves a different half of the problem from Protecto. Protecto and NoPII protect the data your own applications send to models; Nightfall governs what people and agents do with data across the company.

Key features

• Shadow AI blocking: Stops sensitive data being pasted or uploaded into unsanctioned AI tools
• Detectors: Pre-trained for PII, PHI, PCI, API keys, passwords and source code, plus custom detectors
• Coding agent hooks: Covers Cursor, Claude Code and VS Code on the Premier edition
• MCP discovery: Finds MCP servers and scores shadow-MCP risk
• Redaction API: Removes PII from text programmatically
• Data discovery: An add-on for discovering and classifying data at rest

Pricing

Foundation and Premier editions are priced per user per year, with a data discovery add-on sold in storage packs. Dollar amounts are quoted by sales; a free 7-day proof of value is offered.

Pros

• Broad coverage of employee and agent data movement
• Strong out-of-the-box policies
• SOC 2 Type II and ISO 27001, with HIPAA-ready and GDPR-compliant claims

Cons

• Reviewers report false positives that need policy tuning
• Reporting, filters and analyst triage need work, per a reviewer
• Not reversible tokenization: It blocks or redacts rather than restoring values in model responses

What users say

• Likes: Coverage and easy integration: Reviewers praise strong AI coverage and out-of-the-box policies (source), a straightforward API for redacting text (source), and deep Slack alerting (source).
• Dislikes: False positives and reporting: Reviewers report too many false positives (source), weak reporting and triage (source), and having to learn regex for exclusions (source).

Rated 4.6/5 on G2 from 101 reviews and 5.0/5 on Capterra from 2 reviews. G2’s summary of its reviews lists Ease of Use (12 mentions), Setup Ease (6) and Integrations (6) as the top strengths, and Limited Features (4) and Poor Customer Support (3) as the top complaints.

Watch for: If your problem is an LLM feature in your own product, pair Nightfall with a tokenizing layer rather than relying on it alone.

For the enterprise view of this category, see our roundup of the best AI data security software for enterprises.

Which Part of Protecto Each Alternative Replaces

Protecto bundles several jobs into one platform, and most teams rely on one or two of them. Find the job you use Protecto for, then see which alternatives handle it and how.

Best Protecto Alternative by Company Size

Protecto vs Enigma Vault (NoPII): Side by Side

Both keep real identifiers away from the model and give real values back to your application. They differ in where the protection runs and how you buy it.

If processing must stay inside your own network, or you need discovery and access control across many data stores, Protecto is built for that. If the job is protecting the prompts your product sends to model providers, with a visible price and an integration measured in minutes, Enigma Vault’s NoPII covers it directly.

How to Choose a Protecto Alternative

Answer these questions in order. Each one narrows the list.

1. Do you need to protect the prompts your own product sends to an LLM? Choose a layer that sits in front of those calls: Enigma Vault’s NoPII, a privacy proxy that tokenizes customer details before they reach the model and puts them back in the answer, or Grepture’s gateway.

2. Do you need to stop employees pasting data into AI tools? Choose Nightfall AI, which blocks sensitive data in ChatGPT, coding agents and SaaS apps.

3. Do you need to protect data across warehouses and analytics as well as AI? Look at Protegrity or Skyflow.

4. Does the answer need the real values back? Customer-facing features usually do, so pick reversible tokenization: NoPII, Limina, Grepture on Pro, or Skyflow. Nightfall blocks or redacts.

5. Where must the data be processed? If it cannot leave your network, choose Limina or Protegrity, or stay with Protecto. If a hosted service is acceptable, NoPII, Grepture and Skyflow are open to you.

6. How quickly do you need a price? NoPII and Grepture can be sized today from their own pages. Limina’s paid plans, Protegrity, Skyflow and Nightfall start with sales.

Best Protecto Alternative for Your Use Case

Why Choose Enigma Vault’s NoPII as Your Protecto Alternative

If the job you need done is keeping customer details out of the prompts your product sends to model providers, NoPII is built for exactly that:

• Live in minutes: Change your model client’s base URL; there are no mask and unmask calls to add to your code.
• Answers stay useful: The same value always gets the same token, so the model keeps context across a conversation and your app gets the real values back, even in streamed responses.
• Safe when something goes wrong: If tokenization fails, the request is blocked rather than sent to the provider unprotected.
• Any model provider: One proxy fronts 9+ providers, including OpenAI, Anthropic and Gemini, on every plan.
• A price you can see: Free for one million tokens a month, then $50 a month on Pro, with Enterprise options that include a BAA.
• Built on the Enigma Vault: Tokens map to values held in a vault that is PCI DSS Level 1 and SOC 2 Type II.

You can see NoPII working on your own data before you commit to anything. The Free plan protects one million tokens a month, includes every model provider and the full detection engine, and does not expire. Point one workflow at the proxy, read the detection log, and judge the results on your real traffic.

Start NoPII free, or request a demo to walk through your use case with the Enigma Vault team.