For companies
Fraud teams, security engineers, platform PMs. The teams that pay when fraud lands and the teams that pay when real customers churn.
Browser fingerprinting and bot & fraud defense, now built for the agentic web — operate your console with a built-in AI assistant, let your agents read Noxtica over a read-only MCP server, and govern which agents you trust.
Stop fraud and bots without challenging the customers you worked hard to win. Get a clear risk read on every visitor — and decide what to do with it.
Browser fingerprinting is rarely just about one team. The same signal shapes outcomes for businesses, platforms, and the people who use them.
Fraud teams, security engineers, platform PMs. The teams that pay when fraud lands and the teams that pay when real customers churn.
Marketplaces, social networks, multi-sided platforms. Trust between users is the whole business — and stopping fake accounts at scale is your moat.
End-users. The under-discussed stakeholder. The people who get false-positively challenged, blocked, or asked to solve CAPTCHAs for being on Brave.
The agentic web. Govern which agents you trust with Know Your Agent, run the console with a built-in AI assistant, and let your own agents read Noxtica over a read-only MCP integration.
Six capabilities. Each one rooted in a real business outcome.
Four stages. The browser is read, the result is handed safely to your backend, your server gets a clear risk read, and your code makes the call.
Browser
A lightweight script reads the visitor's browser the moment they land — quietly, without slowing your page down.
Numbers from an early design partner's rollout — shared anonymously, not audited Noxtica-wide claims. They held the line on fraud while keeping real customers moving.
Fake-account rings caught before they bury your honest sellers.
An extra check only when it's warranted. Real customers feel nothing.
Magic links open only for the person who asked. Phishing stops here.
Wherever a stranger can sign up, log in, or pay, the same clear risk read does the work. Here's where teams put it first.
Stop fake-account rings and payment fraud at checkout while real shoppers breeze through.
See the use case →Add a quiet extra check only when a payment looks off, so genuine customers never feel the friction.
See the use case →Block account takeovers and phishing relays before the attacker ever gets in.
See the use case →Keep trust between users high by stopping duplicate-account and abuse rings at signup, at scale.
See the use case →We read four things about every visitor — the browser, the network, the device, and how the person behaves. Together they tell a real customer apart from a clever fake.
Is the browser real?
Catch automated traffic, masked browsers, and synthetic visitors the moment they arrive — before they reach your signup, login, or checkout. Real customers pass through. Fake ones don't.
→ Read the docs: detection signalsIs the network safe?
Spot suspicious origins and high-risk infrastructure without punishing legitimate traffic. Remote workers, VPN users, and corporate networks stay welcome. Wholesale fraud sources get flagged.
→ Read the docs: detection signalsIs the device real?
Verify the real device behind the session — not just the software running on it. Genuine users on genuine devices breeze through. Bots running on shared, throwaway infrastructure surface immediately.
→ Read the docs: detection signalsIs the user real?
Tell a real person from a script by the rhythm of how they interact with the page. Humans hesitate, correct themselves, and explore. Automation moves with a tell-tale precision it can't hide.
→ Read the docs: detection signalsFour reads on every visitor — browser, network, device, and behavior — each answering a different question. Together they tell a real customer apart from a fake.
The threats that cost you — automation, fraud, and abuse — caught without false-positively challenging real customers.
A visitor's request is read across the threats we catch, which combine into a single clear risk read.
Recognize automated traffic before it reaches login, signup, or checkout.
Surface deliberate evasion attempts without blocking honest privacy choices.
Identify the wholesale-fraud signal — without misfiring on remote workers.
Welcome legitimate privacy users while still catching the actors hiding among them.
Verify the device is what it claims to be — not just the browser running on it.
Catch the sessions that look human on paper but don't behave like a person.
Most tools hand you a yes/no and hide how they got there. We give you a clear risk read, with the reasons — and let your team make the call.
// We don't just say 'this is a bot.'
// We give you a clear risk read — and the reasons.
// You decide.
Five clear levels, not a blunt yes/no — and never a silent block.
Six things you don't have to take on faith — and the best proof of all: run it on your own traffic and see for yourself.
EU data residency
GDPR-ready
Open SDK source
No PII collected
<5ms at the edge
A clear read, not magic
Don't take our word for it — try the live demo ↗
"Agentic" gets thrown around. Here's exactly what it means at Noxtica — three capabilities that ship today, with no autonomous changes to your systems.
A built-in AI assistant — powered by Claude, with OpenAI, Gemini, and xAI options — runs server-side under the operator session to read policies, rules, domains, and risk distribution for you, with per-tenant budget caps and full audit logging.
How the assistant works →An opt-in, read-only Model Context Protocol (MCP) server lets your own AI agents read policies, rules, alerts, and risk distribution over JSON-RPC, using scoped, rate-limited, audited bearer tokens you mint — read access only, never write.
Read the MCP docs →Know Your Agent (KYA) is a defensive registry: govern which AI agents and bots you allow or deny per tenant — by JWK thumbprint or Signature-Agent host — integrated with Web Bot Auth verification.
Explore Know Your Agent →Operating constraints that show up everywhere — in the SDK, in the API, in the operator console.
You own the policy. We hand you the evidence.
Every decision comes with its reasons. No black box.
A blocked customer never comes back. We bias against that.
No personal data. No third-party calls. Nothing to leak.
The things buyers and engineers want to know up front. The full technical FAQ — bundle size, the API, iframes, thresholds — lives in the docs.
That's exactly what we build against. A blocked customer rarely comes back, so the defaults lean cautious: we'd rather let a bot slip than wrongly stop a real person. You get a clear risk read and decide how strict to be — and you can dial it tighter or looser as you learn your own traffic.
Yes, and they stay welcome. Privacy browsers don't break anything; we simply recognize them and treat them fairly instead of silently punishing the person behind them. If your product is built for sensitive audiences, you can choose to give those users extra leeway.
Your site keeps working. If a check can't reach us in time, you get a safe default back so your code can fall back gracefully — challenge instead of block, for example — rather than locking anyone out. We commit to 99.95% uptime and publish a public status page.
A little. A small script goes on your site and a single check happens on your server when you want a decision. There's nothing to host, nothing to keep running, and the heavy lifting is on us. Most teams are live in an afternoon — the step-by-step guide is in the docs.
Yes. We collect no personal data we don't need, store no raw IP by default, and keep data in the EU. We'll sign a data-processing agreement, support hard-delete on request, and publish our subprocessor list. Your privacy and legal teams get straight answers, not hand-waving.
More in the docs — bundle size, the API, iframes, threshold tuning, and the full technical Q&A. → Read the docs: full technical FAQ
Stop fraud before it lands. Keep real customers moving. Get the calibration that fits your traffic — and a team that actually picks up the phone.
Everything you need to ship with confidence — and nothing you don't.