Anomaly detection companies, products & suppliers

Finding unusual events in metrics, logs or transactions as the product. Jobs: metric anomalies; log/trace anomalies; transaction outliers.

What is Anomaly detection?

Finding unusual events in metrics, logs or transactions as the product. Jobs: metric anomalies; log/trace anomalies; transaction outliers.

What problems does it solve?

Incidents still are noticed when a customer shouts.

Typical business use cases

  • Metric anomalies
  • Log/trace anomalies
  • Transaction outliers

Important capabilities

  • Unsupervised/semi
  • Alerting
  • Explain an anomaly

What buyers should evaluate

  • False positive cost
  • Latency
  • Whether it is fraud-specific

Risks and governance considerations

An anomaly feed that pages on noise until it is muted.

Procurement checklist

  • Precision
  • Latency
  • Fraud or generic

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • Anodot detects and groups anomalies across silos to help you find and fix business incidents in real-time. Anodot publishes Anodot AI-Powered Anomaly Detection as named AI products

  • Anomalo provides automated data quality monitoring and anomaly detection for enterprise data tables. Anomalo is recorded in United States. Anomalo publishes product information at

  • Discover how agentic AI in IT operations helps teams reduce response times & improve incident management. BigPanda publishes BigPanda AIOps as named AI products. BigPanda is used f

  • CrowdStrike is a global cybersecurity leader with an advanced cloud-native platform for protecting endpoints, cloud workloads, identities and data. CrowdStrike publishes Falcon Clo

  • Darktrace is a Cambridge-headquartered cyber-security company that sells AI-based threat detection and autonomous response products for enterprise networks, cloud and email. Darktr

  • Innovate faster, operate more efficiently, and drive better business outcomes with observability, AI, automation, and application security in one platform. Dynatrace publishes Dyna

  • Power insights and outcomes with The Elasticsearch Platform. See into your data and find answers that matter with enterprise solutions designed to help you accelerate time to insig

  • Featurespace is a Cambridge-headquartered company selling Adaptive Behavioral Analytics for fraud and financial-crime detection. Public marketing covers real-time payment and banki

  • Stop financial crime before it happens. Feedzai's AI-powered platform detects and prevents fraud, money laundering, and other risks across all channels. Feedzai publishes Feedzai R

  • LogicMonitor is the AI-first platform for Autonomous IT, enabling enterprises to operate complex digital systems with greater resilience, efficiency, and confidence. LogicMonitor p

  • Bridging the governance gap accelerating between Agentic AI adoption and maintaining 100% financial integrity. MindBridge publishes MindBridge AI Auditor as named AI products. Mind

  • New Relic is an AI-powered observability platform that correlates your telemetry across your entire stack, so you can isolate the root cause and reduce MTTR. New Relic is used for

  • SAS publishes SAS Data Maker, SAS Intelligent Decisioning, and SAS Model Manager as named AI products. SAS is used for Model governance and Data science platforms work. SAS is reco

  • Empower your IT staff & propel your digital transformation with ScienceLogic's AI-driven observability and IT infrastructure monitoring platform. ScienceLogic publishes Skylar AI a

  • Selector publishes Selector AI as named AI products. Selector is used for Anomaly detection work. Selector is recorded in Santa Clara, United States. Selector publishes product inf

  • Soda provides data quality monitoring and observability for analytics and AI data pipelines. Public marketing also emphasises data quality as code + monitoring. It is presented for

  • Unify security and observability at petabyte scale on the Splunk data platform for trusted AI. Stop threats and prevent downtime at machine speed. Splunk LLC trades as Splunk, base

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Anomaly detection?

Finding unusual events in metrics, logs or transactions as the product. Jobs: metric anomalies; log/trace anomalies; transaction outliers.

What should not be listed as Anomaly detection?

Products whose buyer job is fraud detection, model monitoring, or predictive analytics. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Anomaly detection supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.