Question: I need a solution that can detect anomalies in my data and alert me to potential issues, what options are available?

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Metaplane

Metaplane is a broad data observability platform that includes ML-based monitoring and anomaly detection. It also can handle automated end-to-end data observability, real-time schema change alerts and job monitoring with automated alerts for unusual runs. Metaplane can integrate with many tools in the modern data stack, and it's designed to be useful to teams of all sizes working to keep data quality high and collaboration high.

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Edge Delta

Another powerful option is Edge Delta, an automated observability platform that's strong at AI-assisted anomaly detection and assisted troubleshooting. It can handle petabyte-scale log search and offers flexible data ingest and routing pipelines. Edge Delta's interface is designed to be easy to use, and its architecture is designed to scale, so it's good for teams that need to monitor and troubleshoot without a lot of setup.

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Logz.io

Logz.io combines open-source tools like OpenSearch and Prometheus for high-performance log analytics and centralized metrics monitoring. It also offers AI-powered features for anomaly detection and alert recommendations to help automate and speed up troubleshooting. Logz.io can be easily integrated with more than 300 cloud platforms and applications, making it a good fit for companies of any size.

Additional AI Projects

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Datadog

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Baresquare

Detects anomalies 24/7, automates root cause analysis, and prioritizes actions based on business impact, empowering teams to take swift, data-driven decisions.

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Observo

Automates observability pipelines, optimizing data for 50%+ cost savings and 40% faster incident resolution with intelligent data routing and reduction.

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Honeycomb

Combines logs and metrics into a single workflow, with AI-powered query assistance, to quickly identify and resolve problems in distributed services.

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ServiceNow Cloud Observability

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Elastic

Combines search and AI to extract meaningful insights from data, accelerating time to insight and enabling tailored experiences.

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Riverbed

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Varonis

Continuously discovers and classifies critical data, removes exposures, and stops threats in real-time using AI-powered automation.

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UpGuard

Gain unparalleled visibility into attack surfaces and third-party risk with automated scanning, evidence analysis, and real-time insights for informed decision-making.

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Vectra AI

Spots and responds to threats in real-time with AI-powered Attack Signal Intelligence, cutting alert noise by 80% and covering 90% of hybrid cloud MITRE ATT&CK techniques.

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Darktrace

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Avo

Ensure data quality upstream with immediate visibility, collaborative schema management, and fast implementation to build better user experiences.

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Securiti

Provides unified intelligence and controls across hybrid multicloud environments, enabling safe and compliant use of data and AI.

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Blobr

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scandilytics

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Zing Data

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Lumu

Automates 24/7 incident response with AI-driven decision making, integrating with existing cybersecurity tools for efficient threat detection and response.

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Radar

Identifies potential security threats in real-time, monitoring breached credentials, password reuse, domain fraud, and more to help companies defend against cyber attacks.

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Secoda

Unifies data catalog, lineage, governance, and monitoring, with AI-powered search, automated workflows, and contextual answers to complex data questions.

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Nanonets

Automate data extraction from unstructured sources, leveraging AI-driven workflows to extract, enrich, and validate information, freeing employees from repetitive tasks.

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Abnormal

Analyzes employee and vendor behavior, communications, and processes to stop credential phishing, business email compromise, and account takeover attacks.