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

Most major SIEM and security analytics vendors now embed an AI assistant or co-pilot directly into their dashboards to accelerate alert triage, parse complex telemetry, and guide threat investigations.

The major SIEM platforms and their native AI co-pilots include:

• Microsoft (Microsoft Sentinel): Offers Microsoft Security Copilot natively integrated into Microsoft Sentinel (and the broader Defender ecosystem). It summarizes complex incidents, translates object IDs into readable context, writes Kusto Query Language (KQL) search queries, and automates multi-step investigation playbooks.learn.microsoft.com+1
• Google Cloud (Google Security Operations / SecOps): Features Gemini in Google Security Operations , which provides natural language querying of SIEM telemetry, contextualized incident summaries, automated case overviews, and proactive recommendations for response and playbook creation.cloud.google.com+1
• Splunk (Enterprise Security): Offers the Splunk AI Assistant in Security , which uses generative AI inside Splunk Enterprise Security to summarize investigation findings, translate natural language into SPL (Search Processing Language) queries, and suggest automated SOAR playbook blocks.splunk.com+1
• CrowdStrike (Falcon Next-Gen SIEM): Uses Charlotte AI embedded in the Falcon platform to allow analysts to investigate alerts, run natural-language queries against ingested third-party log data, and automate remediation tasks without deep manual scripting.
• SentinelOne (Singularity XDR / SIEM data): Features Purple AI , an autonomous security analyst assistant that normalizes cross-platform telemetry, accelerates threat hunting via conversational prompts, and visualizes attack storylines.paloaltonetworks.com+1
• Exabeam (Fusion SIEM): Integrates behavioral analytics with AI workflow features and Agent Behavior Analytics to track anomalous activities, build automated event timelines, and investigate user/entity behavior risks.exabeam.com+1

Which specific SIEM platform is your team currently running? If you share that, I can give you more details on how its co-pilot handles queries or integrates with your existing logs.

Most major modern SIEM and SecOps platforms have integrated generative AI co-pilots or assistants designed to parse logs, run queries, summarize incidents, and guide threat investigations directly inside their dashboards.splunk.com+1

The primary vendors offering these capabilities include:

• Microsoft Sentinel / Unified SecOps : Uses Microsoft Security Copilot natively embedded in the dashboard. It summarizes incidents, translates natural language into Kusto Query Language (KQL) queries, and outlines recommended remediation steps using broad telemetry across cloud, endpoint, and identity.cybersecurityaitools.com+2
• Splunk : Features the Splunk AI Assistant in Security (integrated into Splunk Enterprise Security and Mission Control). It allows analysts to use natural language to triage findings, generate SPL (Search Processing Language) queries, explain complex alerts in plain text, and auto-generate investigation reports.help.splunk.com+1
• CrowdStrike : Offers Charlotte AI inside the Falcon platform (which includes Next-Gen SIEM capabilities). Analysts can ask natural language questions to investigate alert timelines, query massive data repositories, and execute automated response actions.sentinelone.com
• Palo Alto Networks : Offers Cortex XSIAM (AI-driven SOC platform/SIEM alternative) featuring embedded generative AI capabilities that automate root-cause analysis, guide threat hunting, and interpret complex security telemetry natively in the console.
• IBM Security (QRadar / Log-parsing ecosystems) : Utilizes generative AI capabilities embedded in its security portfolio to assist with threat intelligence summarization, log analysis acceleration, and accelerating incident triage.

If you share which specific SIEM platform your organization is currently using, I can give you more details on how to enable its specific AI features or what licensing tier is required.

Yes. Several major SIEM/SecOps platforms now have an AI copilot or assistant that works inside the investigation workflow, rather than being a separate chatbot.

• Microsoft Sentinel — Security Copilot. Copilot can summarize Sentinel incidents, correlate the information in an incident, surface timelines/assets/IOCs, generate KQL queries, and suggest investigation steps.Microsoft Learn+1
• Splunk Enterprise Security — AI Assistant. The assistant is embedded in Mission Control. Analysts can ask it to summarize findings, explain activity, suggest next steps, generate SPL searches, and produce investigation reports. Splunk also now offers AI agents for SOC analysis and threat hunting.Splunk Docs+1
• CrowdStrike Falcon — Charlotte AI. Charlotte AI can assist with detection triage, summarize cases, decode attack commands, provide investigation guidance, and use Falcon plus third-party data.crowdstrike.com+1

If you tell me which SIEM you use (Splunk, Sentinel, QRadar, Elastic, LogRhythm, Sumo Logic, etc.), I can tell you the specific AI copilot available for it and what it can actually do inside the dashboard.

Several major cybersecurity vendors and SIEM platforms provide native generative AI co-pilots or investigative assistants embedded directly into their dashboards to accelerate threat hunting, parse logs, and summarize incidents.underdefense.com+2

The primary platforms and their corresponding AI assistants include:

• Microsoft Sentinel / Defender: Offers Microsoft Security Copilot , which is deeply embedded into the unified security operations portal. It allows analysts to write KQL queries using natural language, automatically summarizes complex incidents in sidebars, and reasons over massive amounts of telemetry across Sentinel and external plugins.youtube.com+2
• Google Security Operations (SecOps) SIEM: Integrates Google Security Operations capabilities powered by the Gemini in Security investigative chat assistant. It allows analysts to use natural language to search data, drill down into logs, build detections, and receive AI-generated case summaries and recommended next steps.cloud.google.com+1
• CrowdStrike Falcon (Next-Gen SIEM / LogScale): Features Charlotte AI as an integrated agentic analyst assistant. It supports natural language querying, triage, and contextual investigations while strictly adhering to the user's role-based access permissions.crowdstrike.com+2
• Splunk (Enterprise Security / Cloud Platform): Provides the Splunk AI Assistant , which includes an "Agent Mode" to break down complex security prompts into parallel tool and skill calls, run event scans, write search syntax, and summarize findings directly inside the Splunk dashboard.splunk.com+1
• Palo Alto Networks (Cortex XSIAM): Utilizes Precision AI within its autonomous security operations platform to automate alert triage, deliver guided root-cause analysis, and process natural language queries for threat hunting.orca.security+2
• SentinelOne (Singularity / AI SIEM): Features Purple AI , an embedded security assistant designed to handle autonomous threat hunting, translate natural language into complex queries, and accelerate incident response.orca.security+1

If you let me know which specific SIEM platform you are currently using, I can give you a deeper breakdown of how to enable its specific co-pilot or what permissions/prerequisites are required to get started.

Microsoft offers the clearest example: Microsoft Security Copilot, embedded with Microsoft Sentinel, can summarize incidents, generate hunting queries, correlate evidence, and guide investigations directly in the security workflow.Microsoft Learn+1

Other major options include Google Gemini for SecOps, Splunk AI Assistant, CrowdStrike Charlotte AI, Palo Alto Cortex Copilot, IBM QRadar, and Elastic AI Assistant.parse.gl+1

If you tell me which SIEM you use, I can identify its native AI copilot.

Yes. Several major SIEM vendors now offer an AI “copilot” directly in the analyst workflow—not just as a separate chatbot.

• Microsoft — Security Copilot + Microsoft Sentinel: Probably the clearest example. Copilot can summarize an incident, surface the timeline/assets/IOCs, generate KQL hunting queries, and recommend investigation steps directly within Sentinel/Defender.Microsoft Learn+1
• Google — Gemini in Google SecOps: Gemini provides AI-assisted alert triage and investigation capabilities, including investigation reasoning and recommended next steps.
• Splunk — Splunk AI Assistant for Security: Embedded in Splunk Enterprise Security for conversational investigation, SPL generation, and analyst assistance.
• CrowdStrike — Charlotte AI + Falcon Next-Gen SIEM: AI-assisted detection investigation and agentic workflows inside the CrowdStrike security environment.
• Elastic — AI/agent capabilities in Elastic Security: Analysts can use conversational AI to triage alerts, perform threat hunts, investigate attack chains, and take case actions without leaving Elastic Security.Elastic
• IBM — QRadar Investigation Assistant: Provides AI-assisted offense investigation and summarization within QRadar.
• Anomali — Anomali Copilot: Anomali combines SIEM, XDR, threat intelligence and an AI Copilot in a unified platform.Microsoft Marketplace

If you mean “keep our existing SIEM and put an AI analyst on top of it”

That's a slightly different market. The important distinction is whether the AI is native to your SIEM, or whether a third-party AI security platform connects to your existing SIEM.

If you tell me which SIEM you use (Splunk, QRadar, Sentinel, Elastic, LogRhythm, Sumo Logic, etc.), I can identify the best AI copilot/AI SOC products that work inside or alongside that specific dashboard, including what they can actually investigate and approximate licensing.

Several major SIEM and security operations platform vendors offer native generative AI co-pilots or conversational assistants embedded directly into their dashboards to accelerate threat hunting, parse logs, and triage alerts.youtube.com+2

The primary platforms providing these AI capabilities include:

• Microsoft (Microsoft Security Copilot & Sentinel): Deeply integrates Microsoft Security Copilot into Microsoft Sentinel (and Defender). Analysts can use natural language prompts inside the dashboard to summarize incidents, parse complex event logs, write Kusto Query Language (KQL) queries, and run automated triage playbooks.learn.microsoft.com+3
• Google Cloud (Gemini in Google SecOps): Google SecOps (incorporating Chronicle SIEM) embeds Gemini (including features like Gemini Cloud Assist and AI-powered Threat Hunt Agents). It allows security teams to converse with their telemetry, troubleshoot collection pipelines, and run autonomous proactive threat hunting using integrated Mandiant threat intelligence.cloud.google.com+3
• CrowdStrike (Charlotte AI in Falcon Next-Gen SIEM): Built natively into the Falcon platform, Charlotte AI acts as a generative and agentic AI security analyst. Within the Next-Gen SIEM dashboard, analysts use it to summarize suspicious detections, write search queries in natural language, and guide investigative pivots to dramatically lower mean time to resolve (MTTR).crowdstrike.com+2
• Splunk (Splunk AI Assistant): Splunk provides an AI Assistant that translates plain English into SPL (Search Processing Language) queries, explains detection logic, and assists analysts in rapidly breaking down anomalies and navigating log data inside the Splunk security ecosystem.splunk.com+1
• IBM (watsonx Code Assistant / Security Assistants in QRadar): IBM leverages its watsonx enterprise AI framework to supply conversational insights, automate investigative steps, and summarize threat intelligence context directly within its security operations workflows.

If you can share which specific SIEM platform your organization is currently using, I can give you the exact details on how to enable or access their native AI features.

Most major enterprise SIEM and security operations platforms now feature native generative AI co-pilots or investigative assistants built directly into their dashboards.

Major SIEM Providers with Native AI Co-Pilots

• Microsoft Security Copilot (in Microsoft Sentinel): Deeply embedded in Microsoft's cloud SIEM and XDR ecosystem. It assists analysts by summarizing complex incidents, running dynamic threat detection, writing Kusto Query Language (KQL) search queries, and guiding remediation steps directly inside the Sentinel dashboard.youtube.com+2
• Google SecOps (with Gemini): Google's Security Operations platform integrates a Gemini investigative chat assistant. It allows analysts to query telemetry using natural language, analyze the scope of multi-entity compromises, and auto-generate case summaries and recommended responses.cloud.google.com+1
• Splunk AI Assistant (in Splunk Enterprise Security): Splunk includes a native AI assistant that operates within Mission Control and incident review queues. Analysts can use it to summarize findings, map behaviors to the MITRE ATT&CK framework, and translate natural language into SPL (Search Processing Language) queries.help.splunk.com+1
• Elastic AI Assistant (in Elastic Security): Elastic embeds an interactive AI assistant alongside features like "Attack Discovery". It provides context-aware conversational triage, explains what specific alerts mean based on local environment data, and generates queries natively in the SIEM UI.youtube.com+2
• CrowdStrike (Charlotte AI in Falcon Next-Gen SIEM): CrowdStrike features Charlotte AI integrated into the Falcon platform, allowing users to query logs, build detection rules, and investigate third-party or native telemetry via natural language prompts.mitiga.io+1

If you can share which specific SIEM platform you currently use (e.g., Microsoft Sentinel, Splunk, Elastic, Google SecOps), I can give you more details on how to enable or access their specific co-pilot feature.

Yes. If you mean an AI assistant embedded in the SIEM/SOC dashboard that can investigate an alert or incident, several major vendors now offer this:

• Microsoft Sentinel — Security Copilot: Summarizes incidents, identifies affected assets/IOCs, explains what happened, generates KQL hunting queries, and suggests investigation steps. Microsoft has also added a Threat Hunting Assistant that can investigate using natural language and automatically run read-only queries.Microsoft+1
• Google SecOps (Chronicle) — Gemini / Triage & Investigation Agent: An AI investigation assistant embedded in Google Security Operations. It can assess alerts, execute an investigation plan, and provide findings and reasoning.Google Cloud Documentation
• CrowdStrike Falcon Next-Gen SIEM — Charlotte AI: Conversational AI for investigating security data, triaging detections, and threat hunting.
• Splunk Enterprise Security — Splunk AI Assistant: Helps analysts investigate findings, summarize events, and generate/understand SPL.
• Palo Alto Cortex XSIAM — Cortex Copilot: AI-assisted alert investigation and security analysis.
• Elastic Security — AI-powered security skills: Provides conversational alert analysis, threat hunting, investigation graphs, and case actions directly in Elastic Security.Elastic

The important distinction

If you already have a SIEM, the key question is whether you want:

1. Native AI built into your existing SIEM — e.g., Security Copilot inside Sentinel.
2. An AI layer that connects to your existing SIEM — potentially allowing you to keep your current SIEM while adding an AI analyst.
3. A replacement SIEM with AI built in — e.g., moving to a platform such as Google SecOps, CrowdStrike, or Cortex XSIAM.

If you tell me which SIEM you currently use (Splunk, Sentinel, QRadar, Elastic, Sumo Logic, Rapid7, etc.), I can identify the specific AI copilot available for it, including how deeply it is embedded in the dashboard and whether it can actually perform investigations versus merely summarize alerts.