European Alternatives to HiddenLayer
Looking for a European alternative to HiddenLayer? HiddenLayer, Inc. is a US company whose privacy notice gives an address in Austin, Texas, and its platform covers AI discovery, supply chain security, attack simulation and runtime security, so prompts and model files go to a US vendor. The homepage offers demos and lists no public prices.
The European and Israeli tools below cover the same ground in separate parts: red teaming from Mindgard and Adversa AI, runtime enforcement from NeuralTrust and Lakera, and pre-release validation from QuantPi, Advai and LatticeFlow AI.
How we rank these tools — 4-step process
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European ownership, verified
The company is headquartered and incorporated in the EU, EEA, the UK, Switzerland or Israel, and processes customer data in Europe or Israel. A US parent company disqualifies a tool from this page regardless of where its servers are.
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Category fit and hands-on review
What the tool actually does, who it suits, and where it falls short — checked against the vendor’s own documentation, changelog and pricing page rather than its marketing copy.
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Compliance and pricing check
GDPR posture, hosting location and the prices quoted on this page are verified against the vendor’s public pricing before publication, and re-checked when we revisit the category.
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Position on this page
Placement on this page can be paid, and that can affect which tools appear here and the order they appear in. It never buys a good review: a tool that fails the checks above is not here at any price, and payment does not change the shortcomings we write about. A vendor can ask us to correct a factual error — not to remove a criticism.
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10 European Alternatives to HiddenLayer
Mindgard
London AI red teaming that attacks, fixes and retests
NeuralTrust
Barcelona agent gateway and runtime guard with free tier
Advai
UK AI assurance: choose, test and monitor AI systems
Giskard
Paris open-core red teaming and testing for AI agents
QuantPi
Saarbrücken validation engine with statistical confidence
Adversa AI
Tel Aviv red teaming and coding agent security
Lakera (Check Point)
API guardrails against prompt attacks, now Check Point
LatticeFlow AI
Framework-mapped evaluations and agent red teaming
Safe Intelligence
London formal verification and agent validation
Alice (ActiveFence)
Red teaming and policy-trained guardrails for AI safety
Key takeaways
- HiddenLayer, Inc. gives an Austin, Texas address in its privacy notice, so every European alternative on this page changes the contracting country.
- HiddenLayer covers discovery, model scanning, attack simulation and runtime defence in one platform, while the ten European tools each cover one to three of those functions.
- None of the ten tool pages reviewed lists model file scanning, the supply chain function HiddenLayer puts on its homepage, so that is the gap to test first.
- NeuralTrust is the only tool on this page with a published free plan, at 100,000 requests a month, and Giskard is the only one with an Apache-2.0 library.
- Seven of the ten alternatives do not publish prices, and HiddenLayer does not publish one either, so expect to request quotes in both cases.
Why people leave HiddenLayer
HiddenLayer, Inc. sells a platform that watches the AI estate of a company from four angles: it inventories AI assets (AI Discovery), scans models and their dependencies before deployment (AI Supply Chain Security), attacks running systems on a schedule (AI Attack Simulation) and filters traffic live (AI Runtime Security). The homepage presents all four as one product and lists integrations with CI/CD, MLOps, data pipelines and SIEM/SOAR tooling, plus technology alliances with AWS and Databricks.
The company is American. Its privacy notice, last updated on 14 October 2026, gives a postal address on Avery Ranch Boulevard in Austin, Texas, and the homepage announces a $100M Series B round.
A buyer in Europe who sends prompts, model files or test results to such a platform is sending them to a US vendor, and the procurement file needs a transfer assessment to say so. The notice does describe rights for people in the EEA and the UK and states that personal information of website visitors is not sold.
Nothing on the pages we could read gives a price: the site offers a demo and nothing else. That is normal for enterprise security, and it is also why European teams look around. When the quote is unknown and the vendor sits across the Atlantic, a shortlist of local specialists with named offices, imprints and registered numbers is cheap to build, and several of them let you start with a call rather than a purchase order.
- The vendor and the data sit in the United States HiddenLayer, Inc. gives Austin, Texas as its address. For a bank, an insurer or a hospital group that has to document where test prompts, agent logs and model artefacts go, a US vendor adds a line to the transfer register. The ten tools on this page are established in Spain, the UK, France, Germany, Switzerland and Israel, so the contracting party and the supervisory authority are closer to the customer.
- One platform is bought where you may need one piece The homepage bundles discovery, supply chain scanning, attack simulation and runtime defence under one Book a demo button. Many European buyers only have an open question in one of those boxes: a release test, a guardrail for a customer chatbot, or evidence for an auditor. The tools here are narrower, so you can buy the one function and leave out the rest.
- No visible price to compare against We found no public price list for HiddenLayer, only demo requests. Seven of the ten alternatives here also sell on request, but NeuralTrust publishes a free tier of 100,000 requests a month with a Standard plan from $49, and Giskard offers an Apache-2.0 library you can run before talking to anyone. A published price or a free entry point lets a team test a claim before a procurement cycle starts.
- Regulation asks for evidence, not only blocking The EU AI Act and similar frameworks reward documented testing. Advai ends its testing in an evidence pack, LatticeFlow AI maps 40+ frameworks to runnable evaluations and QuantPi attaches confidence intervals to each result. HiddenLayer talks about compliance posture on its homepage, but the European tools have built their product around the paper trail an assessor will ask for.
What you have to replace, not just match
Replacing HiddenLayer means deciding which of its four functions you actually used.
Discovery, the inventory of models and AI applications in your environments, has the thinnest European coverage: Lakera lists agent discovery and Mindgard starts with a recon step, but neither is sold as an asset inventory. Supply chain security is thinner still. HiddenLayer's pages talk about detecting malicious models, backdoored weights and vulnerable dependencies before deployment, and none of the ten tool pages we reviewed lists model file scanning as a feature.
Attack simulation is where the European market is strongest. Mindgard, Adversa AI, Giskard, LatticeFlow AI and Safe Intelligence all attack models or agents and report what broke, and Alice does so with attack data from its own researchers.
Runtime enforcement is the other well covered function: NeuralTrust sits as a gateway and guard in front of agents, and Lakera exposes five guardrail types behind one API. If your estate consists of LLM applications and agents, you can assemble the functions from two vendors. If it contains thousands of third-party model files, plan for a gap.
Plan for the plumbing as well. HiddenLayer advertises pre-built integrations into CI/CD, MLOps, data pipelines and SIEM/SOAR. Each replacement needs the same hooks: QuantPi calls validation through MCP, GitHub Actions or Jira, Mindgard enters through API, CI/CD or Burp Suite, NeuralTrust forwards events to a SIEM, and LatticeFlow AI syncs with GRC tools. Write down the three or four integrations your security team really uses today and check them against that list before you shortlist anyone.
The alternatives compared
| Position | Tool | Headquarters | Pricing | Jurisdiction |
|---|---|---|---|---|
| #1 | Mindgard | London, United Kingdom | Pricing on request (demo-led) | United Kingdom (adequacy decision, outside the EEA) |
| #2 | NeuralTrust | Barcelona, Spain | Free: 100,000 requests/month. Standard from $49/month (listed in USD) plus usage. Enterprise on request. | EU (Spain) |
| #3 | Advai | London, United Kingdom | Pricing on request (call booking) | United Kingdom (adequacy decision, outside the EEA) |
| #4 | Giskard | France | Open source free; Professional on request | EU (France) |
| #5 | QuantPi | Saarbrücken, Germany | Pricing on request (demo-led) | EU (Germany) |
| #6 | Adversa AI | Tel Aviv, Israel | Pricing on request (demo) | Israel (outside the EU/EEA) |
| #7 | Lakera (Check Point) | Tel Aviv (Check Point), Israel | See website (pricing page not readable without scripts) | Israel (outside the EU/EEA) |
| #8 | LatticeFlow AI | Zurich, Switzerland | Pricing on request | Switzerland (adequacy decision, outside the EEA) |
| #9 | Safe Intelligence | London, United Kingdom | Pricing on request (demo) | United Kingdom (adequacy decision, outside the EEA) |
| #10 | Alice (ActiveFence) | Israel, Israel | Pricing on request | Israel (outside the EU/EEA) |
How each alternative compares to HiddenLayer
Best for: Security teams that want to prove what an attacker could do before a model or agent ships
Mindgard Ltd was founded in 2022 on research from Lancaster University and works in four steps: Recon, Attack, Remediate and Assure. Where HiddenLayer's attack simulation is one module inside a four-part platform, attacking is the whole of the Mindgard product, and the retest step shows whether a fix held. Its terms are governed by the laws of England, Northern Ireland, Scotland and Wales.
The company lists more than 150 public AI vulnerability disclosures, so a buyer can read the research before a sales call. Entry points are API, CI/CD pipelines and Burp Suite. Pricing is not published and the pages do not say where data is hosted, so both belong on your question list.
What Mindgard does better than HiddenLayer
- Public vulnerability disclosures you can read before any sales conversation
- A retest step built into the same workflow as the attack
- Burp Suite entry point familiar to application security testers
- UK contracting party under English-law terms
Where Mindgard is a step down from HiddenLayer
- Runtime defence is secondary to testing, where HiddenLayer ships a dedicated runtime firewall
- No model file scanning listed
- Hosting and self-hosting are not stated
Standout against HiddenLayer. Mindgard turns the attack itself into the product and publishes the research behind it.
Best for: Engineering teams that want a gateway and runtime guard in front of agents without a sales cycle
NeuralTrust, S.L. in Barcelona splits its offer in two: TrustGate routes agent traffic and applies policy, TrustGuard inspects interactions for attacks and leakage. Against HiddenLayer's AI Runtime Security it adds the gateway functions of model routing, rate limits, tool permissions and budget caps, which a plain firewall does not carry.
The numbers are public. The Free plan allows 100,000 requests a month with seven days of logs, Standard starts at $49 a month plus usage, and enterprise buyers get private, on-premise or hybrid deployment. Prices are in US dollars and the detection figures on the site are the vendor's own, so run a trial with your traffic.
What NeuralTrust does better than HiddenLayer
- Published prices and a free tier, where HiddenLayer shows a demo button
- Gateway features such as budgets and tool permissions in the same layer as the guard
- A choice of US or EU residency on the free plan
- Spanish company with EU terms
Where NeuralTrust is a step down from HiddenLayer
- No attack simulation of comparable depth
- Free plan keeps logs for only seven days
- Prices in dollars and self-reported performance claims
Standout against HiddenLayer. NeuralTrust is the one tool here that puts the price per request on a public page.
Best for: Regulated organisations that must show an approver why an AI system is safe to go live
Advai Limited is a London company, registered in England and Wales under number 12540124, that works in three steps: choose a model, test it, monitor it. Where HiddenLayer pitches defence, Advai ends testing in go-live thresholds and an evidence pack for the person who signs off. Its platform page states ISO 27001 and Cyber Essentials Plus certification.
Coverage reaches beyond language models to agents, computer vision, time series and multimodal systems, and managed onboarding sets up the first tests for teams without in-house skills. It is a service-led assurance product, so it will not block a prompt in flight. No prices, hosting region or trial are published.
What Advai does better than HiddenLayer
- Stated ISO 27001 and Cyber Essentials Plus certification
- Evidence packs written for approvers rather than for engineers
- Covers vision and time series models, not only LLM applications
- Managed onboarding for teams without an AI testing function
Where Advai is a step down from HiddenLayer
- No inline blocking, which HiddenLayer's runtime security provides
- No self-service trial
- Hosting region and prices unpublished
Standout against HiddenLayer. Advai is the only vendor here that names both ISO 27001 and Cyber Essentials Plus on its platform page.
Best for: Developers who want to try adversarial testing locally before buying a platform
GISKARD AI SAS, founded in 2021 in France by people with Dataiku and Thales backgrounds, publishes its library under Apache-2.0 and sells a commercial platform on top. Compared with HiddenLayer, you can read the code, run a first test on your laptop and only then talk about a contract. The Professional tier lists 50+ automated adversarial probes, including multi-turn attacks.
Security and quality tests live in the same tool: prompt injection and data disclosure next to hallucination and inappropriate refusals. The enterprise tier lists on-premise, private cloud or SaaS with data residency, and SOC2, HIPAA and GDPR compliance. The v3 library is a rewrite, and the Professional price is not public.
What Giskard does better than HiddenLayer
- An Apache-2.0 library, so the first test costs no licence
- Quality failures such as hallucination tested beside security failures
- On-premise deployment with data residency options
- French company under EU law
Where Giskard is a step down from HiddenLayer
- Tests only: no runtime protection and no model scanning
- Open source tier has best-effort support
- Professional pricing unpublished
Standout against HiddenLayer. Giskard lets a developer start adversarial testing from an Apache-2.0 library with no sales call.
Best for: Enterprises that need pass or fail evidence for every release of a model, RAG pipeline or agent
QuantPi GmbH, a 2020 spin-off from CISPA and Saarland University with an imprint in Saarbrücken, calls its product a validation layer. HiddenLayer's attack simulation reports what it found; QuantPi reports how far to trust each result, because every test carries a confidence interval, and it can calibrate an LLM used as a judge.
One method covers foundation models, RAG pipelines, tabular models, object detection and agents. It is called through MCP, GitHub Actions or Jira, so a failed validation can stop a release, and a second workflow turns a regulatory standard into a test suite with evidence pushed to a GRC tool. It does not sit in the request path, and prices and hosting are unpublished.
What QuantPi does better than HiddenLayer
- Confidence intervals on results, which makes a pass or fail defensible
- One test method for LLMs, RAG, vision and tabular models
- Release gates through MCP and CI/CD
- German GmbH with a full imprint
Where QuantPi is a step down from HiddenLayer
- No live blocking of prompts
- No model file scanning listed
- Using it as a gate requires a process change
Standout against HiddenLayer. QuantPi attaches a confidence interval to each test result and measures how reliable its own judge model is.
Best for: Security teams governing coding agents, or buying external red teaming for LLM applications
Adversa AI Ltd of Tel Aviv offers continuous red teaming for LLM, agentic, generative and MCP systems, and a newer coding agent platform. HiddenLayer lists Agent Harness Security for AI coding agents as a use case too; Adversa's version judges the whole chain of what a developer agent reads and then runs, and blocks dangerous chains before they finish.
Capture happens at the LLM traffic, the agent harness and the developer machine, which lets it work across several agent brands. On 4 June 2026 it published AIRQ, a rating of 100 enterprise AI agents with an open methodology. The homepage now leads with coding agents, so a general LLM application firewall is described in less detail. Prices and hosting are unpublished.
What Adversa AI does better than HiddenLayer
- Coverage across several coding agent brands through one sensor and gateway
- An open rating methodology you can reuse in procurement
- Published data processing agreement and security and trust centre
- Solution pages for the EU AI Act, DSA and DMA
Where Adversa AI is a step down from HiddenLayer
- Needs an endpoint sensor rollout
- Less detail on general LLM application defence
- Israeli entity outside the EU and EEA
Standout against HiddenLayer. Adversa AI judges an agent session as a chain of steps rather than as isolated alerts.
Best for: Developers who want a guardrail API with a choice of region or a self-hosted container
Lakera Guard screens input and output of an LLM and returns a verdict. The documentation now brands it Check Point AI Guardrails, and the terms linked from lakera.ai name Check Point Software Technologies Ltd of Tel Aviv. Against HiddenLayer, the pitch is five defences behind one API: prompt defense, content moderation, data leakage prevention, malicious link detection and agent behavior defense.
Processing and storage are separate settings. The EU endpoint processes in eu-south-2, US and Singapore endpoints exist too, and the docs warn that requests are processed wherever they are sent, so routing is the customer's job. A self-hosted container is available. The pricing page needs scripts to render, so no price is stated here.
What Lakera (Check Point) does better than HiddenLayer
- A documented EU processing endpoint with storage region set separately
- A self-hosted container for traffic that must stay inside your network
- Custom guardrails and per-project policies
- Red teaming and agent discovery on the same platform
Where Lakera (Check Point) is a step down from HiddenLayer
- No longer an independent start-up, so roadmap and terms follow a large vendor
- Readable pricing is missing
- Docs branding moved away from the Lakera name
Standout against HiddenLayer. Lakera documents the processing region and the storage region as two separate choices.
Best for: AI risk teams that must show which control of which framework was tested, and the result
LatticeFlow AI came out of ETH Zurich and treats security as one module of a wider risk platform: Atlas holds the frameworks, Evaluate runs tests, Secure runs adversarial checks and Govern tracks actions. Where HiddenLayer groups its offer around threats, LatticeFlow groups it around controls, with 40+ frameworks, 400+ controls and 100+ ready-to-run evaluations.
Secure uses an adaptive red teaming agent against data leakage, unauthorised actions, privilege abuse, goal hijacking and denial-of-wallet, aligned with OWASP and MITRE ATLAS. Evaluations are written in YAML so the method is auditable. The privacy policy names LatticeFlow UK Ltd and the footer lists offices in Zurich, San Francisco, Dublin and Sofia, so confirm which entity signs.
What LatticeFlow AI does better than HiddenLayer
- Frameworks such as OWASP, NIST RMF and ISO 42001 mapped to runnable tests
- YAML evaluation specs that show the method to an auditor
- Sync with GRC tools for the evidence trail
- Synthetic test data generated from your own documentation
Where LatticeFlow AI is a step down from HiddenLayer
- Does not filter live prompts
- Pricing is unpublished and the contracting entity needs confirming
- Broader than a pure security tool, which can mean more setup
Standout against HiddenLayer. LatticeFlow AI starts from the framework control and works down to the test that proves it.
Best for: Teams with vision or tabular models in safety-critical use who also test LLM agents
Safe Intelligence Limited, a London company, validates models by analysing whole regions of input space and formally verifying them against broad classes of perturbation, for deep networks, decision trees and random forests. HiddenLayer's attack simulation probes systems with attacks; this method asks whether any input in a region can break the model.
A repair step then reduces the fragilities found, and Monitor watches for new ones. Spec27.ai, introduced on 8 April 2026, brings spec-driven validation to agents. The pages give little product detail beyond that: no prices, hosting or certifications, and no inline protection, so a smaller footprint than a platform such as HiddenLayer.
What Safe Intelligence does better than HiddenLayer
- Formal verification across regions of input space, not only sampled attacks
- A repair step that lowers variance in trained models
- Covers classic ML and vision models next to agents
- UK company with a London address in the privacy notice
Where Safe Intelligence is a step down from HiddenLayer
- No runtime shield or gateway
- Thin public detail on deployment and certifications
Standout against HiddenLayer. Safe Intelligence is the only tool here that repairs a model after finding the weakness.
Best for: Companies whose main AI risk is harmful or policy-breaking output rather than infrastructure attacks
Alice is the trading name of ActiveFence Ltd, and its terms are governed by Israeli law with courts in Tel Aviv-Jaffa. It approaches AI security from content safety: guardrails are trained on the customer's own policies and tested against attacks collected by its researchers through an engine called Rabbit Hole, which the site describes as a database of billions of examples.
Against HiddenLayer, the difference is the risk it targets. HiddenLayer's pages centre on models, supply chains and runtime attacks; Alice centres on what an AI says or does in front of users, for model labs, applications and agents, online platforms and personal AI. Solution pages cover the EU AI Act, NIST and OWASP. The brand is recent, so older contracts may say ActiveFence, and pricing is unpublished.
What Alice (ActiveFence) does better than HiddenLayer
- Guardrails trained on your own policy text
- Red teaming that can also run in production
- Packages for online platforms and personal AI products
- Solution pages that map to the EU AI Act, NIST and OWASP
Where Alice (ActiveFence) is a step down from HiddenLayer
- Focus on content safety rather than model supply chain or infrastructure security
- Entity address not stated on the policy pages
- Recent rebrand may confuse contract and review searches
Standout against HiddenLayer. Alice trains its guardrails on the customer's own written policies instead of a generic rule set.
What actually breaks when you switch
Most of the work in a switch is outside the product. Test suites, attack scenarios and policy settings you tuned inside HiddenLayer do not export to another vendor in a shared format as far as the pages we read show, so budget time to rebuild them.
Start by listing the AI systems under test, the attack classes you care about and the thresholds that block a release, then recreate those in the new tool and run both in parallel for a release cycle before cutting the old one off.
Contracts and people matter as much. Ask HiddenLayer for the notice period and for deletion of stored test data, and ask the new vendor for a data processing agreement and the hosting region in writing, since seven of the ten tool pages leave the region open.
Retraining is real too: red team engineers know one console, and a testing tool, a gateway and a guardrail API each have their own. Expect a pilot of a few weeks per function, not one big cutover.
Do I need to replace HiddenLayer's model scanning with something European?
Only if you ingest third-party model files. HiddenLayer's homepage describes scanning for malicious models, backdoored weights and vulnerable dependencies before deployment, which matters when data scientists download checkpoints from public hubs. If your teams call hosted models through an API and never load weights themselves, that function carries little weight in your estate, and testing plus runtime control will cover most of the risk.
If you do load weights, ask each European vendor in writing whether they inspect model artefacts. We did not find that capability on the ten tool pages we reviewed, so treat it as unconfirmed rather than missing. Until a vendor confirms it, keep the existing scanner in place for that one step and move the rest.
Is a UK, Swiss or Israeli vendor really an improvement over a US one?
It changes the legal footing, not the physics of the cloud. The UK and Switzerland are covered by EU adequacy decisions but sit outside the EEA, and EP counts Israel as European since 22 October 2026. Mindgard, Advai, Safe Intelligence, LatticeFlow AI, Adversa AI, Alice and Lakera therefore differ from the EU-based NeuralTrust, Giskard and QuantPi in their jurisdiction, and the pages for several of them do not state where data is stored.
Read the data location line on each tool page and ask the vendor to put the hosting region in the order form. Of the ten, Giskard describes on-premise, private cloud and SaaS with residency options, NeuralTrust offers US or EU residency on its free plan and Lakera documents EU, US and Singapore processing endpoints. The rest left the question open on the pages reviewed.
Which one to pick
If your priority is proof that your models and agents hold up before release, start with Mindgard for attack-led testing, QuantPi when you need statistics and release gates, Advai or LatticeFlow AI when an approver or auditor wants documents, and Giskard when developers want to begin with open source. Safe Intelligence fits a portfolio that still contains vision or tabular models.
If your priority is live enforcement, NeuralTrust gives you a gateway and guard with a public free plan, and Lakera gives you an API guardrail with an EU endpoint and a container option. If harmful output is the main worry, look at Alice, and if developer agents are the main worry, look at Adversa AI. Keep HiddenLayer, or another scanner, for the one job none of these pages lists: inspecting downloaded model files.
Frequently Asked Questions
It depends on the function you use. Mindgard is the closest match for attack simulation and red teaming, NeuralTrust and Lakera replace the runtime guard, and QuantPi, Advai and LatticeFlow AI replace pre-release validation. Giskard is the entry point if you want an open source library first. No single tool on the list repeats all four HiddenLayer functions, so most teams combine two.
NeuralTrust publishes a free plan with 100,000 requests a month, five team members and seven days of log retention, and lets you choose US or EU data residency on it. Giskard publishes an Apache-2.0 library for local agent experiments, although community support is best effort. The other tools here start with a demo and quote on request.
Yes, two of them are built for it. NeuralTrust's TrustGuard inspects interactions for attacks and data leakage and its TrustGate gateway applies policy in the request path. Lakera Guard returns a verdict on inputs and outputs through one API and offers an EU processing endpoint and a self-hosted container. The testing tools, such as Mindgard, QuantPi and Advai, find weaknesses but do not block live traffic.
We did not find a price list on the pages we read. The homepage and navigation lead to a demo booking. Most alternatives on this page are the same, with NeuralTrust, whose Standard plan starts at $49 a month, as the clearest exception. Ask every vendor for a written quote that names the number of models, applications or requests it covers.
Several are aimed at it. LatticeFlow AI maps 40+ frameworks to evaluations, Advai produces evidence packs for sign-off, QuantPi pushes mapped evidence to a GRC tool, and Alice and Adversa AI publish solution pages for the EU AI Act. None of them replaces a legal assessment, but they supply the test records that an assessment relies on.
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