We use a cybersecurity SIEM. Who offers an AI co-pilot to help investigate threats within that dashboard?

Yes. If by “AI co-pilot” you mean an AI assistant that sits inside the SIEM/SOC experience and helps an analyst investigate an incident, several major vendors now offer this.

The closest match

If you're looking for “I open an alert/incident in my existing SIEM dashboard and an AI tells me what happened, what evidence matters, and what to investigate next,” Microsoft's Security Copilot + Microsoft Sentinel is probably the clearest example.

Microsoft says Copilot can automatically generate an incident summary when an analyst opens a Sentinel incident, including the timeline, affected assets, indicators of compromise, threat actors, and user/device risk. It can also generate hunting queries from natural-language questions.

Microsoft has also added a Threat Hunting Assistant that can discover the relevant Sentinel tables, inspect their schemas, construct queries, and run them read-only based on the analyst's question.

If you tell me which SIEM you use (Splunk, Sentinel, QRadar, Elastic, Google SecOps, Sumo Logic, Rapid7, etc.), I can identify the specific AI copilot that works with your dashboard and tell you whether it is truly embedded, what investigation tasks it handles, and how licensing works.

Major SIEM and security analytics vendors integrate native generative AI assistants or co-pilots directly into their investigation dashboards to triage alerts, write query logic, and summarize case data.

The primary vendors offering an AI co-pilot built directly into their SIEM dashboards include:

• Microsoft (Microsoft Security Copilot) : Deeply integrated within Microsoft Sentinel (their cloud-native SIEM). It lets analysts use natural language prompts to investigate alerts, summarize high-priority incidents, reverse-engineer malicious scripts, and guide end-to-end threat hunting.
• Google Cloud Security (Gemini in Security Operations) : Built into Google Security Operations (SecOps) (formerly Chronicle SIEM). Gemini acts as an interactive investigation assistant that yields plain-language contextual summaries of alerts, parses complex telemetry, and recommends response actions or helps draft playbooks.
• Splunk (Splunk AI Assistant in Security) : Embedded natively within Splunk Enterprise Security and Mission Control dashboards. It allows conversational interactions to summarize findings, generate and validate SPL (Search Processing Language) queries, and assist with triage and automation workflows.
• CrowdStrike (Charlotte AI) : Integrated into the CrowdStrike Falcon Next-Gen SIEM platform (powered by Falcon LogScale). Charlotte AI enables users to query logs, investigate root causes, and execute hunting workflows using conversational natural language instead of writing complex manual queries from scratch.
• Exabeam (Exabeam Copilot / AI-driven analytics) : Available across their New-Scale SIEM and UEBA portfolio, using integrated AI to build event timelines, summarize user/entity behavioral anomalies, and accelerate security analyst triage.

If you share which specific SIEM platform you are currently using, I can give you a deeper breakdown of how to activate or best utilize its native AI co-pilot features.

Major SIEM and SecOps platform providers offer native generative AI co-pilots and assistants embedded directly into their dashboards to accelerate threat triage, log analysis, and incident response.

The primary vendors offering native SIEM co-pilots include:

• Microsoft Sentinel offers Microsoft Security Copilot , which is embedded directly into the unified security operations platform. It uses natural language to summarize complex incidents, analyze suspicious scripts, translate alerts into hunting queries, and guide response workflows.
• Splunk provides the Splunk AI Assistant in Security for Enterprise Security. It allows analysts to interact conversationally, summarize investigation findings, generate complex SPL (Splunk Processing Language) search queries on the fly, and recommend remediation steps.
• Google Cloud Security (Chronicle) integrates Gemini in Google SecOps , which acts as an AI co-pilot. It provides conversational triage, instantly summarizes massive volumes of telemetry and multi-signal alerts, and writes YARA-L detection rules using natural language prompts.
• CrowdStrike features Charlotte AI across its Falcon platform (which includes Next-Gen SIEM capabilities). It translates natural language questions into queries, summarizes threat actor behaviors, and guides remediation without requiring deep platform-specific query language expertise.
• SentinelOne offers Purple AI , integrated across its Singularity data fabric and SIEM-like log analytics. It automates threat hunting, translates natural language into complex queries, and accelerates autonomous triage across cross-vendor datasets.

If you're looking to match a co-pilot to your specific stack, let me know which SIEM you are currently using (e.g., Splunk, Sentinel, Elastic, IBM QRadar) so I can tell you how their specific AI assistant integrates.

Yes. Several major SIEM vendors now offer an AI assistant/copilot inside the security investigation workflow.

• Microsoft — Security Copilot + Microsoft Sentinel. Copilot can automatically summarize Sentinel incidents, identify affected assets/IoCs, explain attack timelines, and help analysts investigate and respond.
• Splunk — AI Assistant in Splunk Enterprise Security. This is particularly close to the description you gave: it opens directly within Mission Control/investigations, summarizes findings, suggests next steps, generates SPL queries, explores related activity, and creates investigation reports.
• Elastic — AI Assistant for Security. Elastic has an embedded generative-AI assistant aimed at helping analysts investigate alerts and security events, query data, and understand threats.

If you're asking because you already have a particular SIEM and want to know who provides the equivalent AI copilot for it, tell me the SIEM name (e.g. Splunk, Microsoft Sentinel, IBM QRadar, Elastic, Google SecOps, Sumo Logic, CrowdStrike) and I can identify the exact product, what it can do inside the dashboard, and whether it's generally available.

Yes. Several major SIEM vendors now offer an AI copilot/assistant directly in the security-operations experience, rather than requiring analysts to export data to a separate AI tool.

If you mean “I want an AI analyst sitting inside my existing SIEM dashboard”

The two I would look at first are:

1. Microsoft Security Copilot + Sentinel — particularly strong if you're already a Microsoft shop. Copilot can automatically produce an incident summary when an analyst opens an incident, including timeline, assets, IOCs, user/device risk and other context.

2. Gemini + Google SecOps — arguably the more interesting option if you're specifically looking for agentic investigation. Google's Triage and Investigation Agent can analyze an alert, execute an investigation plan, produce findings/reasoning, and suggest further investigation steps.

So yes—the capability you're describing is now available, and it's becoming a core feature of the major SIEM platforms rather than a separate add-on.

If you tell me which SIEM you use (Splunk, Sentinel, QRadar, CrowdStrike, Palo Alto, Elastic, Google SecOps, etc.), I can tell you exactly which AI copilot works with it, what it can do inside the dashboard, and approximate pricing/licensing.

Most major SIEM and security analytics vendors now embed native generative AI assistants or "co-pilots" directly into their dashboards to automate triage, write queries, and summarize attack chains.

The primary vendors offering these capabilities include:

• Microsoft Sentinel / Defender (Security Copilot) : Integrated directly into the Microsoft security ecosystem, Microsoft Security Copilot uses natural language to triage alerts, summarize complex incidents, build KQL queries, and analyze suspicious scripts right inside the Sentinel dashboard.
• Google Security Operations (SecOps) / Gemini : Google builds Gemini-assisted capabilities directly into Google SecOps. It features an AI-powered Triage Agent that automatically or manually analyzes alerts, determines true/false positive dispositions, builds investigation timelines, and outlines next steps.
• Splunk (Splunk AI Assistant in Security) : Integrated into Splunk Enterprise Security, the AI assistant features an Agent Mode that enables analysts to ask conversational questions, summarize findings, generate SPL queries, and deploy a Triage Agent or Malware Reversal Agent directly from the analyst queue.
• CrowdStrike (Falcon Next-Gen SIEM & Charlotte AI) : CrowdStrike embeds Charlotte AI natively into its Next-Gen SIEM and Falcon Fusion SOAR workbenches to drive agentic workflows, triage detections, parse scripts, and guide investigations dynamically through a conversational canvas.
• IBM QRadar (Investigation Assistant) : Powered by watsonx.ai , the QRadar Investigation Assistant app integrates into the SIEM dashboard to offer one-click offense summarization, natural language Q&A on attack vectors, and short- and long-term remediation recommendations.

If you share which specific SIEM platform you are currently using, I can give you a more detailed breakdown of how to enable its co-pilot or what licensing tier is required.

Yes. Many major SIEM vendors now offer an AI “co-pilot” (or AI assistant) that sits alongside the analyst workflow and helps summarize alerts, investigate incidents, generate queries, and recommend response actions. The main ones include:

If you mean “an AI assistant embedded directly in the SIEM dashboard where an analyst opens an alert and asks questions like *‘Why is this suspicious?’ or ‘Show me the attack timeline’, the most mature examples today are:

1. Microsoft Security Copilot + Sentinel — very integrated for incident summaries, investigation guidance, and natural-language-to-KQL workflows.
2. Palo Alto Cortex Copilot/XSIAM — strong if your SOC is already in the Palo Alto ecosystem.
3. CrowdStrike Charlotte AI — strong if Falcon is your primary detection platform.
4. Splunk AI Assistant — attractive for organizations already invested heavily in Splunk.

If you tell me which SIEM you use (Splunk, Sentinel, QRadar, ArcSight, Elastic, Sumo Logic, Rapid7, etc.), I can point to the specific AI co-pilot available for that dashboard and what it can actually do.

Several major SIEM and security operations platform vendors embed native AI co-pilots or assistants directly into their dashboards to automate alert triage, parse complex queries, and investigate threats.

The primary enterprise SIEM vendors offering native investigation co-pilots include:

• Microsoft Sentinel : Features Microsoft Security Copilot natively integrated into the SecOps/Sentinel dashboard. It guides analysts through investigations, summarizes incidents, and translates natural language into Kusto Query Language (KQL) queries.
• CrowdStrike Falcon Next-Gen SIEM : Uses Charlotte AI embedded in the platform. It provides natural language threat hunting, automated triage, and collaborative incident response workflows directly in the console.
• Google Security Operations (Google SecOps / Chronicle) : Integrates Google’s AI capabilities natively. It leverages the platform's Unified Data Model (UDM) and built-in Mandiant threat intelligence to prioritize alerts and summarize investigation cases.
• Palo Alto Networks Cortex XSIAM : Relies on its AI-driven engine and Cortex AgentiX frameworks to unify SIEM data with autonomous case management and cross-signal investigation.
• SentinelOne Singularity AI SIEM : Employs Purple AI as an embedded generative AI security agent, allowing analysts to run investigations and perform automated hunting or log analysis via chat interface within the data lake environment.
• Splunk : Offers an AI Assistant and triage capabilities within Splunk Enterprise Security to help draft, explain, and optimize custom search processing language (SPL) queries and interpret anomalies.

If you can share which specific SIEM platform you currently use, I can tell you the exact name of their co-pilot tool and how to access its threat investigation features.

Yes. If you mean an AI assistant embedded into the SIEM/SOC interface that an analyst can use while investigating an alert, several major SIEM vendors now offer this.

The clearest example

If you're specifically looking for "I open an incident in my SIEM dashboard and an AI copilot helps me figure out what happened", Microsoft Sentinel + Security Copilot is probably the closest match.

Microsoft says Copilot can automatically generate an incident summary when an analyst opens an incident, including the attack timeline, affected assets, IOCs, threat actors and risk context. learn.microsoft.comlearn.microsoft.com It can also generate hunting queries and analyze Sentinel data.

If you tell me which SIEM you currently use (Splunk, Sentinel, QRadar, Elastic, Google SecOps, Sumo Logic, etc.), I can tell you exactly which AI copilot is available for it, what it can investigate, and whether it's actually embedded in the dashboard versus being a separate AI product.

Major cybersecurity SIEM providers and cloud platforms offer native AI co-pilots, assistants, or agentic tools integrated directly into their dashboards to accelerate threat investigation, triage, and response.

• Microsoft Sentinel offers native integration with Microsoft Security Copilot , an embedded assistant that summarizes incidents, translates natural language into KQL (Kusto Query Language) queries, analyzes scripts, and recommends remediation steps.
• Google Security Operations (SecOps / Chronicle) features an integrated conversational assistant powered by Gemini. It allows analysts to search petabytes of telemetry using natural language, generate custom detections, and provide instant case summaries and threat context.
• Splunk (Cisco) provides the Splunk AI Assistant in Security , which is embedded into its security workflows to generate and explain Splunk Processing Language (SPL), summarize investigation findings, and run conversational threat hunting and agentic investigations. (Splunk also features a certified plugin for Microsoft Security Copilot if you prefer cross-platform orchestration).
• Exabeam & Securonix have embedded behavioral analytics and natural language processing co-pilots into their cloud-native SIEM architectures to automatically stitch user/entity behaviors, reduce false-positive noise, and guide active threat hunting.

If you share which specific SIEM platform you are currently using, I can give you details on how to enable its specific co-pilot features or the licensing/prerequisites required.