Tecton

  • Fraud Detection

Fraudsters act in milliseconds—your feature store
should, too.

Tecton is the feature store behind your fraud and risk systems. It delivers the ultra-low latency and fresh features required for real-time decisions at scale, powering applications such as credit underwriting, insurance quoting, payment fraud detection, and more.

Split-screen view: on the left, a mobile banking app screen for “John Smith” showing a Visa card (•••• 9749), quick-action buttons, and recent transactions; on the right, a dark-mode code editor with an SQL function mapping card-number prefixes to issuers and overlaid warning icons flagging anomalous transactions.

Trusted by top engineering teams

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Define, compute, and serve
fraud signals in real time

Diagram showing three data input types—Batch, Streaming, and Real-Time—feeding into the “Tecton Feature Store,” which contains Feature Engineering, Manage/Monitor (online store), Serving (real-time features), and Training (feature export) components. Processed signals then flow into “Fraud Detection Logic” with Inference and a Rules Engine, with a side connection to Model Development/Training.
Flow diagram titled “Simple Definition…Automated Data pipelines…Automated serving.” On the left, a Python file icon feeds into the “Tecton Feature Store” container. Inside, Batch and Stream sources materialize into an Offline Store and Online Store. On the right, the Online Store exposes real-time data via a Python SDK, and the Offline Store via an HTTP API.

Productionize and test new features in minutes

  • Go from notebook feature to production pipeline in minutes, not weeks, using Python, pandas, Spark, or warehouse SQL.
  • Maintain model accuracy when introducing new features using automated historical backfills and instant training data generation.
  • Automate backtesting, leverage native feature unit tests, and integrate seamlessly into your CI/CD pipeline for reliable deployments.

Build next-generation fraud-detection features

  • Leverage next-generation fraud detection strategies—like sequence modeling and temporal pattern recognition that capture subtle fraud patterns and user behaviors.
  • Support lifetime, last(n), and multi-year window aggregations without overwhelming storage or compute costs.
  • Maximize model accuracy with perfect consistency between training and serving environments.
A diagram comparing “Historical features” on the left—a code snippet showing a time-travel query for user_id, TIMESTAMP 1/31/25,11:05, and last_transaction $43.50—with “Features” on the right: a list of timestamped feature records (e.g., 1:55 → $1.04; 12:32 → $16.10; 11:05 → $43.50 highlighted; 8:36 → $27.03), connected by a “Time-travel Query” arrow.
Two adjacent charts: on the left, a purple “Query Volume” area chart rising over time with a “100k+ QPS” badge; on the right, a blue “Latency (ms)” line chart falling over time with a “4–5 ms P99” badge.

Detect fraud in real time, at enterprise scale

  • Best-in-class 100ms feature freshness with <10ms P99 latency and 99.99%+ availability at 100k+ QPS.
  • Global replication for multi-region serving with automatic failover.
  • Unified compute for every use case. Redis or DynamoDB, Ray or Spark, get full flexibility without added complexity.

Tecton Benefits for Fraud Teams

Fast-track your fraud models
from experiment to production

Automate your feature pipelines to accelerate model development and deployment. Get unified data access, one-command feature deployment, and rapid iteration cycles—all through a streamlined developer experience.

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Ultra-Fresh & Fast

100ms feature freshness with <10ms P99 serving latency at scale—so your fraud models always see the latest signals.

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Notebook-to-Production

Modelers can prototype with the same Tecton aggregation, calculation, and transform SDK used in production—no engineering hand-off required.

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Easy Experimentation

Run safe A/B and “shadow” tests of new real-time features with guaranteed train/serve consistency before full rollout.

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Governance & Compliance

Centralized, versioned feature definitions, workspace-level access controls, and end-to-end lineage let you audit every feature change.

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Scale & Resilience

Autoscaling, failover, and multi-region replication deliver 99.99% serving availability, ultra-low latency, and support for instantaneous disaster recovery.

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Cost Efficiency

Tile-based caching, DynamoDB bulk-import backfills, adaptive TTLs, and autoscaling work together to right-size costs.

Book a Demo

Contact Sales

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

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Request a free trial

Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

CTA link

or

CTA button