By SardineLearning Objectives
- Describe what Sardine does and the fraud-and-compliance problem it solves for fintechs
- Explain how device intelligence and behavioral biometrics become fraud signals
- Understand why Sardine produces a risk score to tune, not a final verdict
What Is Sardine?
Sardine is an AI risk platform that helps fintechs, neobanks, and crypto firms detect fraud, meet anti-money-laundering (AML) obligations, and streamline compliance. Rather than judging a transaction in isolation, Sardine watches how a user behaves across the whole journey — account opening, login, and payment — and combines those observations into a single real-time risk score. The problem it addresses is that modern financial fraud is fast, cross-surface, and often invisible to any one system; a stolen card, a synthetic identity, and an account takeover can all look legitimate at the moment of a single click. Sardine's value is stitching signals together so those patterns become visible.
Sardine was founded in 2020 and is headquartered in San Francisco. It is a private company backed by Andreessen Horowitz, whose Growth Fund led an early Series B, alongside investors including Activant Capital, Google Ventures, and Experian Ventures. A 2025 Series C brought total funding to roughly $145 million. The company reports profiling more than two billion devices and operating with customers across more than 70 countries, which is what gives its network the breadth to spot emerging threats.
💡Key Concept
Device intelligence and behavioral biometrics: Instead of only checking who a user claims to be, Sardine studies the device they use and the way they interact with it — typing rhythm, mouse movement, mobile gestures, and dozens of hardware and network attributes. A returning fraudster on a fresh account often reuses the same device or moves in the same telltale way, so these behavioral signals surface risk that identity documents alone would miss.
✅Tip
Visit Sardine: sardine.ai — for fintechs, banks, and crypto platforms; enterprise pricing by quote.
Core Capabilities
Cross-Surface Fraud Detection
Sardine ingests device, behavioral, and transaction signals from every point in a customer's journey and scores them together in real time. Because the same risk engine sees onboarding, login, and payment events, it can connect activity that separate point tools would treat as unrelated, catching account takeover and payment fraud that spans multiple steps.
AML and Compliance Monitoring
The platform layers transaction monitoring and case-management tooling on top of its risk signals, helping compliance teams meet AML requirements. Alerts carry the context behind them, so investigators can move from a flag to a decision without stitching data together by hand across several systems.
Identity and Onboarding Risk
At account opening, Sardine evaluates device reputation and behavioral cues alongside identity checks to flag synthetic identities and bots before they get in. This reduces onboarding fraud without adding friction for genuine customers, who never see the scoring happening in the background.
Credit and Underwriting Signals
Beyond fraud and compliance, Sardine's risk signals extend into credit-underwriting decisions, so a single risk platform can inform fraud, compliance, and credit teams from one shared set of signals.
Strengths
- Cross-surface visibility — one risk engine watches onboarding, login, and payments together, so multi-step fraud that evades point tools becomes visible.
- Rich behavioral signals — device intelligence and behavioral biometrics detect returning fraudsters and compromised accounts that identity data alone misses.
- Network effect — signals drawn from billions of profiled devices across many customers improve detection of emerging, shared threats.
- Unified risk teams — fraud, AML, and credit teams draw on one platform instead of a patchwork of disconnected tools.
Limitations and Considerations
- A signal, not a verdict — Sardine produces a probabilistic risk score, and each firm sets its own thresholds and rules; a poorly tuned threshold blocks good customers or lets bad ones through, so ongoing calibration is essential.
- The institution stays accountable — regulators hold the financial institution responsible for AML and fraud outcomes, not the vendor; Sardine informs decisions but does not absolve the firm of its compliance duty.
- Behavioral data governance — collecting device and behavioral signals raises privacy and consent obligations that vary by jurisdiction and must be handled carefully.
- Integration effort — realizing cross-surface value means instrumenting onboarding, login, and payment flows, which is real engineering work up front.
Best Use Cases
| Task | Why Sardine |
|---|---|
| Stopping account takeover | Behavioral biometrics flag when a session does not move like the real user |
| Onboarding synthetic-identity screening | Device reputation and behavior catch bots and fabricated identities at signup |
| Real-time payment fraud scoring | Cross-surface signals score transactions in the moment rather than after the fact |
| AML transaction monitoring | Contextual alerts and case tooling help compliance teams meet obligations |
Getting Started
- Identify the flows where risk is highest — onboarding, login, or payments — and scope an initial deployment there.
- Contact Sardine for an enterprise quote and integration plan, since pricing depends on volume and scope.
- Instrument the chosen flows so device and behavioral signals feed the risk engine, then start in a monitoring mode.
- Tune thresholds and rules against your own fraud and false-positive data before letting scores drive automated actions.
Key Takeaways
- Sardine is an AI risk platform for fraud, AML, and compliance aimed at fintechs, neobanks, and crypto firms.
- It uses device intelligence and behavioral biometrics to build a real-time, cross-surface risk score.
- The output is a risk signal that each firm tunes with its own thresholds, not an automatic decision.
- The financial institution remains accountable to regulators, so human oversight and calibration stay essential.
