Accelerate Security & Fraud Threat Detection

Security and fraud teams need fast, flexible insights to stay ahead of threats. Imply delivers a real-time data store purpose-built for high-volume analytics — enabling sub-second investigations across full-fidelity telemetry without the cost or lag of legacy SIEMs.
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Challenge

Data growth is outpacing SIEM performance

Modern security and fraud teams face escalating data volumes, rising storage costs, and slow investigative workflows. Legacy security platforms can’t keep up with today’s dynamic threat landscape, hindering real-time incident resolution.

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Exploding Costs

Costs balloon when storing full-fidelity logs, metrics, and traces 一 forcing tough decisions about which data to keep or drop.

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Visibility Gaps

When data is filtered out to manage observability costs, visibility drops and incident troubleshooting risks rise.

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Investigation Lags

Traditional tools struggle with fast, ad hoc data exploration as cardinality, concurrency and complexity rise 一 delaying MTTR.
Solution

Security needs a data store built for efficiency at scale

Powered by Apache Druid®, Imply delivers real-time data layer that supports sub-second queries across high-cardinality security events — with a cost-efficient architecture that works alongside or in place of your security platform (SIEM).
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Up to 80% Cost Savings

Reduce your storage footprint with Imply Polaris’ database-as-a-service (DBaaS) or Imply Lumi as a plug-and-play data layer.
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Full-Fidelity Telemetry

No data sampling required. Flexible ingestion lets you keep what you need for both compliance and deep-dive analysis.
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Sub-Second Exploration

With schema-on-persist, you can investigate threats with fast, flexible exploration of security telemetry at any scale or level of complexity.
Stories

Trusted by modern security & fraud teams

  • 1-2 min time-to-insight (vs. 1-2 days)
  • 100% data fidelity (vs. 10% sampling)
  • Lowered TCO with simplified ops

“The return on our investment has been great. Polaris gives us peace of mind and opened the door to many more real-time analytics use cases.”

Sreenu Pillutla | Senior Director of Engineering | McAfee

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  • Accurately anomaly detection
  • Automated real-time alerts
  • Real-time root cause analysis
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“We built an anomaly detection engine, which uses ML models to detect unusual activity. Druid helps us analyze data with an interactive experience that enables on-demand analysis and visualization.”

Neeraj Gupta | SVP, Engineering & Cloud Ops | Sift

  • 20M records ingested daily
  • <1ms query response time
  • 80TB data volume
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“The foundation of Druid was set keeping modern data analytics in mind—it was the best choice for our real-time use cases.”

Anil Gupta | Lead Data Architect | TrueCar

Real-Time Performance

Ibotta Built Faster Fraud Detection at Scale

As fraud schemes continuously evolve, organizations need real-time, high-performance analytics to identify suspicious patterns, investigate anomalies, and stop fraud before it causes financial or reputational damage.
  • CHALLENGE: Previous BI tools lacked speed and precision to combat fraud at scale. Complex queries were slow, costly, and hard to operationalize.
  • SOLUTION: Imply Polaris accelerated real-time fraud detection and investigation with built-in, customizable visual analytics via Imply Pivot, combining scalable ingestion with sub-second query speed.
  • IMPACT: Ibotta developed a new revenue stream by enabling 30X new self-serve analytics users, while reducing costs by 25%.
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“Druid and Imply was the most robust solution [for] our goals: supporting rapid incident response, building trust with end users and partners, and enabling our team to easily make use of data.”

Jaylyn Stoesz | Data Engineer | Ibotta

“Two years ago, we were building the product (Citrix Analytics Service) with Druid from scratch. Now, Druid has become one of the most critical components in the Citrix Analytics infrastructure.”

Jungang Wei | Dir., Product Development | Citrix

Scalable Security

Citrix Prevents Security Threats in Real Time

As digital environments grow more dynamic, enterprises need real-time, scalable security analytics to detect anomalies, investigate issues as they occur, and optimize performance for a seamless user experience.
  • CHALLENGE: Legacy analytics systems couldn’t keep up with the volume and velocity of telemetry data needed for proactive monitoring and insight.
  • SOLUTION: Citrix deployed Druid to power real-time dashboards for Citrix Analytics Service, which proactively detects and prevents insider threats with user behavior analytics, using ML to monitor Citrix environment health.
  • IMPACT: Citrix gained sub-second query speed at scale, improving security visibility, accelerating investigations, and reducing operational overhead. 90% of queries met SLOs with 99.9% service uptime across 3B+ daily events.
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Products

Choose plug-and-play vs. build-your-own solutions

Imply Lumi

Observability & SIEM Data Layer
Imply Lumi is a data layer that plugs directly into your security and observability platform to efficiently store and serve full-fidelity data, so you can search more data faster ー with no workflow changes.
  • Do more with your existing workflows
  • Search 2x+ faster for faster MTTR
  • Easy API setup (no expertise required)
  • 70%+ cost savings (TCO)
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Imply Polaris
Database-as-a-Service
Imply Polaris is a cloud-native, real-time database-as-a-service that scales effortlessly, making it easy for you to build custom security and fraud applications or augment your existing platform.
  • Fully managed at any scale
  • Built-in, sub-second visualization (optional)
  • Dev-friendly by design (SQL, JSON, APIs)
  • Up to 50% cost savings (TCO)
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Technology

Reduce costs and lag without reducing coverage

Imply combines columnar storage, a decoupled compute-storage architecture, and intelligent resource scaling to deliver blazing-fast queries and efficient storage compression ー all at a fraction of the cost of traditional systems.

  • Schema-on-persist: Automatically optimized structure for compression + fast access
  • Separate storage & compute: Scale ingestion and query workloads independently
  • Columnar storage + indexing: Efficient scans of high-cardinality fields (IP, user ID, etc.)
  • Elastic auto-scaling: Dynamic resource allocation for ingest + bursty workloads
  • Segment optimization & roll-up: Optional aggregation at ingest for storage and speed gains
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1. Ingest

Security and fraud telemetry forwarded by streaming or batch data sources
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2. Store & Compute

Data compression and transformation for faster search performance
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3. Search & Analyze

Faster threat detection and response at any level of data complexity, in any platform

From the original creators of Apache Druid®

Save time, cut costs, and improve real-time threat response with Imply

Power your security and fraud use cases for any scale, any number of users, and any telemetry with streaming or batch data.

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No workflow changes. No migrations. More data, less spend.

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