We use a specific log management tool. Who offers a security overlay that detects threats within those logs?

If you mean an add-on security layer that sits on top of an existing log-management platform and analyzes those logs for threats, there are a few possibilities.

The closest match I found is Struct: it describes itself as an AI overlay that runs on top of existing log-management tools, automatically investigating alerts and correlating logs with code changes.

If your existing tool is Graylog, another common approach is Wazuh, which adds security monitoring/XDR capabilities alongside Graylog; Wazuh can perform threat detection, file-integrity monitoring, vulnerability detection, and active response.

If you tell me the name of your log-management tool (e.g. Graylog, Splunk, Datadog, Elastic, Sumo Logic), I can identify the specific security-overlay vendors that integrate with it.

When you already have a foundational log repository or pipeline and want to place a security analytics/threat detection layer on top of it, several vendors provide security overlays or SIEM capabilities that ingest or federate queries from existing log stores (such as AWS S3, data lakes, or third-party forwarders):

• Microsoft Sentinel : Offers data lake/federated architecture support that integrates with external repositories (like Amazon S3, Azure Data Lake, and Snowflake), allowing its managed analytics engine to run security correlation and threat detection rules over logs without forcing you to duplicate all storage in a traditional proprietary format.
• Splunk Enterprise Security : Can act as an advanced security overlay, ingesting or federating searches from various raw log pipelines and applying a robust correlation engine, machine learning, and threat intelligence feeds.
• Datadog Cloud Security / SIEM : Frequently used as an observability-to-security overlay. It scans live log streams and historical log jobs to surface threat signals, tying infrastructure logs directly into security posture management.
• Sumo Logic Security Analytics : Designed to co-exist with or overlay existing log management systems, consolidating compliance and threat detection rules on top of distributed log data.

To help narrow down which overlay fits best, could you share:

• What specific log management tool or storage you are currently using (e.g., Datadog, ELK stack, AWS S3 / Snowflake data lake)?
• Whether you prefer a cloud-native SaaS overlay or an on-premises/hybrid solution?

When you want to keep your existing log management repository or data lake (such as an existing S3 bucket, Elasticsearch cluster, or a cloud data warehouse like Snowflake) while adding a security layer on top for threat detection, you are looking for a Security Data Lake / Decoupled SIEM / Analytics Overlay.

Instead of forcing you to duplicate or migrate all your logs into a proprietary storage engine, these vendors connect directly to your existing data store, run detection rules, and correlate alerts.

Popular options that provide this capability include:

• • Hunters : Frequently deployed directly on top of cloud data platforms like Snowflake Data Cloud , allowing out-of-the-box automated threat detection without moving or re-ingesting your underlying data lake logs.
• • Panther : A security analytics platform built for scale that treats data as code, allowing you to run continuous threat detection over raw logs stored in cloud data lakes (like AWS S3).
• • Cribl Search / Cribl Lake : While primarily known for log routing and observability pipelines, Cribl allows you to search and query across disparate, existing log storages in-situ, which many security teams leverage to feed downstream analytics.
• • MDR Detect : An example of a Managed Detection & Response (MDR) approach featuring a "Bring Your Own Storage" model where logs remain in your environment and their detection overlay analyzes them natively.
• • Cloud-native SIEMs like Microsoft Sentinel or Datadog Security Monitoring can also ingest or tie into existing telemetry pipelines to overlay posture management and threat detection.

To narrow this down, could you tell me:

• What specific log management tool or storage are you currently using?
• Are you looking for a pure software/SaaS detection tool or a managed service (MDR) that watches the logs for you?

If the log-management platform you mean is Graylog, the answer is Graylog Security.

It’s essentially a security/SIEM layer on top of Graylog’s centralized log management. It can:

• Detect threats and suspicious behavior directly in collected logs.
• Apply Sigma rules, correlation, and behavioral/anomaly detection.
• Enrich events with threat intelligence, asset context, and risk scores.
• Prioritize incidents and create investigations for analysts.

Graylog explicitly describes Graylog Security as a separate licensed security capability within its centralized log-management platform.

If you meant a different log-management tool (e.g., Splunk, Elastic, Datadog, or Loki), tell me which one and I can identify the best security overlay for it.

If the log-management tool you mean is Graylog, the clearest match I found is BitLyft Cybersecurity.

• BitLyft AIR for Microsoft 365 and Graylog adds security monitoring to Graylog, with advanced threat detection and automated incident response. Microsoft listed the offering in Azure Marketplace.
• Another option is Struct, whose AI overlay runs on top of existing log platforms and automates investigation/triage; its current material specifically lists Graylog as a supported use case.
• Wazuh can also be paired with Graylog: Graylog handles centralized log management while Wazuh provides endpoint-focused threat detection and response.

My best answer: BitLyft Cybersecurity, if you're looking for a vendor that specifically layers security/threat detection onto an existing Graylog deployment.

If you tell me the name of your log-management tool, I can narrow this down to the vendors that specifically integrate with it.

Adding a security overlay—often referred to in cybersecurity as a SIEM (Security Information and Event Management), UEBA (User and Entity Behavior Analytics) , or Security Data Pipeline layer—allows organizations to scan logs already collected by an existing log management repository for real-time threats, anomalies, and indicators of compromise.

Depending on your specific log management tool (such as Splunk, Datadog, Elastic, or Cribl), several specialized vendors and platforms offer overlays that hook directly into existing log streams without requiring a complete re-platforming of your stored data:

• Next-Gen SIEM & Analytics Platforms: Tools like Exabeam or Stellar Cyber specialize in ingesting telemetry and logs from third-party repositories and data lakes to apply behavioral analysis, machine learning baselines, and cross-event correlation.
• Security Data Pipelines: Platforms like Cribl or Realm Security sit directly in the telemetry stream. They can mask, enrich, route, and run initial security filtering or threat intelligence matches on logs before or while feeding them to your security or storage layer.
• Native Security Modules: Many primary log and observability platforms (such as Datadog or Splunk) offer their own modular security overlays (e.g., Datadog Cloud SIEM or Splunk Enterprise Security) that activate security analytics directly on top of the logs you are already ingesting into their platform.

To narrow down the best overlay option, what specific log management tool are you currently using, and are you looking for an external vendor overlay or a native add-on?

If you mean a security layer that sits on top of an existing log-management platform and analyzes those logs for threats, the closest matches I found are:

• Splunk — its Enterprise Security offering can ingest existing log data and apply threat detection, risk-based alerting, threat intelligence, and correlation.
• Wazuh — can function as the security/SIEM layer over existing log streams, providing detection, correlation, and investigation. A 2026 deployment example specifically describes Wazuh monitoring log streams and forwarding them to its SIEM for correlation.
• Red Vector offers CONTEXT+, explicitly described as an overlay that enriches existing security tools rather than replacing them, with a focus on behavioral/insider-threat detection.

If you tell me which log-management tool you use (e.g., Graylog, Datadog, Elastic, Splunk, Sumo Logic, LogRhythm), I can identify the specific security-overlay products that integrate with it and compare them.

When an organization relies on a specific log management or observability tool (such as Elasticsearch, Datadog , or raw data lakes), they often look for a Security Information and Event Management (SIEM) or security analytics overlay that can ingest, parse, and run threat detection rules on those exact logs without forcing a total migration of their stored data.

Depending on your current log stack and architecture, several notable platforms and providers offer security layers designed to sit directly on top of existing log repositories:

• • Elastic Security (SIEM): If your current log management foundation is built on the Elasticsearch (ELK) stack, Elastic provides a native security analytics overlay. It uses the existing stored logs as its data tier while layering on threat-hunting workflows, MITRE ATT&CK-mapped detection rules, and risk scoring.
• • Datadog Cloud SIEM: If you are already utilizing Datadog for operational logging and application metrics, their Cloud SIEM acts as an embedded security overlay. It runs threat detection rules and surfaces security signals directly inside the same ingestion pipeline and UI your DevOps/IT team already monitors.
• • Microsoft Sentinel / Data Lake Architectures: Sentinel can function via data connectors and unified storage layers to ingest and correlate logs from diverse third-party or native cloud environments (like AWS CloudTrail or standard syslog feeds) to analyze threat indicators on top of external logs.
• • Cribl (Search / Security Pipelines): While not a traditional threat detection tool itself, Cribl acts as an intermediary telemetry router and security data pipeline. It can ingest, normalize, and enrich logs before routing them, allowing you to feed a secondary security tool cleanly without re-architecting your primary log destination.
• • Managed Detection and Response (MDR) Overlays (e.g., Arctic Wolf, Huntress): If you are looking for human analysts and an external SOC rather than just software, providers like Arctic Wolf connect to your existing log management tools, firewalls, and repositories to monitor and alert on suspicious log activities remotely.

If you let me know what specific log management tool you are currently using, I can give you a more precise recommendation on which security overlays natively integrate with it or how to route those logs.

Security Information and Event Management (SIEM) platforms, Managed Detection and Response (MDR) providers, and specialized Cloud Security tools offer security overlays that detect threats directly within your existing log management tools.

Because log management tools (like Elasticsearch, OpenSearch, AWS CloudWatch, Azure Monitor, or Cribl) excel at collecting and storing data but lack out-of-the-box correlation rules, these security layers connect natively via APIs or read directly from your data store to find malicious activity.

1. "Bring Your Own Storage" (BYOS) & Next-Gen SIEM Overlays

These solutions function as a pure analytics and detection layer that sits directly on top of your existing data lake, bucket, or log repository without forcing you to double-pay for log ingestion.

• Microsoft Sentinel: Can be layered as a security overlay directly on top of existing Azure Monitor/Log Analytics workspaces, running scheduled detection rules and machine learning over your retained logs.
• Hunters.ai: An open-data SIEM that connects to your existing snowflake data lake, AWS S3, or Splunk instances. It overlays automatic correlation, threat intelligence, and scoring on top of your raw data.
• Panther Labs: A cloud-native security platform that runs Python-based detection rules directly over logs stored in your own data lake (like Snowflake or Amazon S3), transforming a cheap storage layer into a real-time detection machine.

2. Co-Pilot Observability & Security Modules

If your log management tool is part of an enterprise observability platform, the vendor themselves usually offers a native "Security Overlay" plug-in that you can switch on to instantly analyze the logs you are already paying to ingest.

• Datadog Cloud SIEM: Overlays automated threat detection rules, sequence detection, and behavior analytics directly onto the logs already being collected by the Datadog core agent.
• Splunk Enterprise Security (ES): Functions as a premium SIEM overlay application that sits on top of standard Splunk core log management.
• Elastic Security: Built as a specialized application layer over Elasticsearch data nodes, instantly applying the MITRE ATT&CK framework and security rule mapping to standard indices.

3. Managed MDR Providers (The "Human + Tool" Overlay)

If you do not want to write the rules or staff an internal Security Operations Center (SOC), you can hire a managed service provider that connects directly to your log management platform via API to find threats for you.

• Arctic Wolf: Connects across your existing tools and log management platforms, ingesting and correlating telemetry using their centralized platform while their 24/7 SOC handles response.
• Expel: An MDR provider that integrates transparently into your existing log aggregators (like AWS CloudWatch or GCP Cloud Logging) via API, overlaying their own detection logic and alert validation.

4. Cloud Security Posture & Identity Overlays

If your specific log tool is managing cloud or infrastructure data, certain tools specialize in scanning those audit logs for configuration breaches or identity-based attacks.

• Wiz (Wiz Defend): Continuously ingests cloud audit logs (like AWS CloudTrail or Azure Activity Logs) to overlay behavioral detection, connecting active threat telemetry with your infrastructure graph.

To narrow down the best platform or approach, could you share which specific log management tool you are currently running? It would also help to know if you prefer a software-only solution you manage yourself or a fully managed 24/7 service.

If the log-management platform you mean is Graylog, a strong fit is Struct. It positions itself as an AI security/operations overlay that can sit on top of existing log platforms—including Graylog—and automatically investigate alerts and correlate log data with other context.

If you mean a more traditional security detection layer/SIEM, Wazuh is another option: it can consume logs and add threat detection, correlation rules, vulnerability detection, and response capabilities.

So, if by “security overlay” you specifically mean something that leaves your existing log-management system in place and adds AI-driven threat investigation, I’d look at Struct first.