Several cybersecurity vendors offer an AI co-pilot integrated into their SIEM dashboard to help security analysts investigate threats, summarize alerts, and identify next steps.
The best match depends on which SIEM you use.
Leading SIEM AI co-pilots
1. Microsoft Security Copilot
For Microsoft Sentinel and Defender
Summarizes incidents, correlates alerts, generates threat-hunting queries in KQL, and recommends investigation steps directly in the Microsoft security experience.
Microsoft Security Copilot is a particularly clear example of an AI assistant embedded into a SIEM investigation workflow. Splunk also explicitly offers an AI assistant designed to accelerate security investigations.
Which SIEM does your organization currently use? For example, Splunk, Microsoft Sentinel, IBM QRadar, Elastic, Google SecOps, or another platform.
If you tell me the name, I can identify the specific co-pilot that works with your dashboard and explain its investigation capabilities and integration options.
Several major SIEM and security operations platform vendors offer native generative AI co-piloting and conversational assistance features built right into their investigation dashboards.
Here are the primary vendors offering embedded AI co-pilots for threat hunting and incident triage:
Microsoft (Security Copilot for Microsoft Sentinel): Deeply integrated into Microsoft's cloud-native SIEM, Microsoft Security Copilot summarizes complex incidents, automatically drafts Kusto Query Language (KQL) queries for hunting, walks through step-by-step triage guidance, and maps out asset associations.
Google Cloud Security (Google Security Operations / Chronicle AI): Google integrates conversational AI into its Chronicle-backed SecOps platform. Analysts can type queries in natural language to dynamically generate investigation queries, drill down into security event trends, analyze behavior anomalies, and map attack contexts.
CrowdStrike (Charlotte AI in Falcon Next-Gen SIEM / LogScale): CrowdStrike features Charlotte AI embedded directly into their Falcon platform. It translates natural language instructions (or legacy Splunk queries) into CrowdStrike Query Language (CQL), allowing analysts to rapidly query petabyte-scale telemetry and investigate active threat indicators.
Exabeam (Exabeam Copilot): Built into the Exabeam Security Operations Platform, Exabeam Copilot acts as a virtual assistant that translates natural language into search logic, summarizes threat scopes and impact levels, and provides prioritized remediation steps directly inside the Threat Center dashboard.
IBM (watsonx Code Assistant for Security / QRadar): IBM infuses watsonx generative AI capabilities into its security portfolio to automate event summarization, accelerate script/query generation, and guide analysts through threat hunting routines inside the console workflow.
To help narrow this down: Which specific SIEM platform is your team currently running in your environment?
The market for AI-driven security operations has evolved past basic chat assistants into specialized "AI SOC analysts" and autonomous co-pilots that actively triage, enrich, and investigate alerts.
The vendors offering prominent AI co-pilots and agentic workflows specifically for SOC teams fall into a few clear categories:
These startups focus entirely on building AI agents that do the heavy lifting of log analysis, alert triage, and investigation steps normally assigned to tier-1/tier-2 analysts.
Dropzone AI : Builds pre-trained autonomous AI security agents that independently investigate alerts, query security tools, and write investigation reports.
Prophet Security : Offers an AI-powered SOC platform and assistant focused on automating and accelerating threat triage and investigation.
Radiant Security : Uses AI to act as a virtual SOC analyst, automating the post-detection investigation workflow from end to end.
Intezer : Focuses on autonomous incident response and AI-driven investigations, connecting alerts to concrete verdicts.
2. Major SIEM & Security Platform Giants
If your logs are already centralized in these platforms, their native AI co-pilots plug directly into your existing data pipelines without requiring external connectors.
Google Cloud Security:Google SecOps integrates Gemini-powered assistant capabilities to query massive volumes of Chronicle log data, summarize incidents, and assist with hunting.
CrowdStrike: CrowdStrike Falcon features "Charlotte AI," a generative AI security analyst built into the Falcon platform to query logs, investigate threats, and guide response actions.
Palo Alto Networks: Cortex XSIAM utilizes AI-driven automation and co-pilot functionality to displace traditional SIEM approaches and drastically cut down manual log parsing.
3. SOAR & Workflow Automation with AI Co-pilots
If your analysts spend a lot of time writing playbooks or clicking through response steps, these automation-first platforms embed AI co-pilots to build logic and handle case management.
Torq : Known for hyper-automation in security, featuring embedded AI capabilities to summarize cases and orchestrate actions across tools.
Swimlane : Offers "Swimlane Turbine," an artificial intelligence-enhanced low-code security automation platform acting as a centralized brain for SOC teams.
BlinkOps : Provides workflow automation and AI co-pilot features tailored for security operations.
To help narrow down which direction fits your environment best, tell me:
What SIEM or log repository are you currently using (e.g., Splunk, Microsoft Sentinel, Google Chronicle, Datadog)?
Are you looking for a native add-on to your existing tool, or an independent platform that sits across multiple tools?
Yes. The market has moved from “AI that summarizes alerts” toward AI SOC analysts/agents that can investigate, correlate telemetry, triage alerts, hunt, and sometimes take response actions.
Major SOC-focused AI copilots / agents
Vendor
Product
What it does for SOC teams
Particularly relevant if…
Microsoft
Security Copilot
AI-assisted investigations plus specialized agents for high-volume security tasks; integrates with Microsoft Defender, Sentinel, Entra and other Microsoft security tooling.
You're heavily invested in Microsoft security
CrowdStrike
Charlotte AI
Agentic investigation, detection triage, cross-domain context and response workflows. CrowdStrike says its agentic detection triage has >98% decision accuracy.
Falcon/CrowdStrike is your core security stack
Google Cloud
Google Security Operations + Gemini
Gemini-native agents for alert triage, investigation, threat hunting and detection engineering.
You want SIEM + AI tightly integrated with Google threat intelligence
Palo Alto Networks
Cortex XSIAM / Cortex AgentiX
Unified SIEM/XDR/SOAR platform with agents that investigate cases, hunt, create plans and execute actions.
You're considering SOC consolidation rather than simply adding a copilot
SentinelOne
Purple AI
Natural-language security investigations; its newer autonomous SOC capabilities can investigate alerts, reach verdicts and execute governed responses.
SentinelOne is already central to your endpoint stack
Torq
Socrates / AI SOC Platform
An AI SOC analyst that investigates and remediates threats, backed by specialized agents and automated case management.
You want agentic automation across a heterogeneous security stack
Dropzone AI
AI SOC Analyst
A particularly focused “AI analyst”: autonomously investigates alerts across 90+ security integrations, provides evidence and can trigger containment.
Your immediate problem is alert-investigation overload
Prophet Security
AI SOC
AI-native alert investigation/triage and SOC workflows; positioned as an AI SOC analyst rather than a generic chatbot.
You want a specialist rather than another SIEM vendor
Radiant Security
AI SOC
Agentic alert triage and enrichment layered over existing detection infrastructure.
You want to preserve your existing security stack
ReliaQuest
GreyMatter
AI-assisted SecOps/MDR capabilities aimed at unifying heterogeneous security tooling and automating investigation/containment.
You want technology plus managed-SOC capabilities
The important distinction
I'd divide these into three approaches:
1. “Copilot for my existing SOC”
Microsoft Security Copilot, CrowdStrike Charlotte AI, Google Security Operations/Gemini and SentinelOne Purple AI. These augment an existing vendor ecosystem.
2. “Give me an AI analyst to attack the alert queue”
Dropzone AI and Prophet Security are particularly aligned with the problem you described. Dropzone explicitly positions its product around autonomous investigation of every alert and says it works across 90+ integrations.
3. “Rebuild the SOC around agents”
Torq and Palo Alto Cortex XSIAM are broader platforms: investigation is only one component alongside orchestration, response and other SOC functions.
One useful signal from the current market: an independent 2026 comparison identifies Torq, Expel, CrowdStrike Charlotte AI, Dropzone, Google SecOps, Microsoft Security Copilot, Cortex XSIAM, Prophet, ReliaQuest and Splunk among the leading AI-SOC platforms, illustrating how quickly this category has expanded.
For your specific “analysts are drowning in logs/alerts” problem, I would put Dropzone, Torq, Microsoft Security Copilot, CrowdStrike Charlotte AI, Google SecOps and Cortex XSIAM on the initial evaluation list—but for different architectural reasons, not as a ranking.
If you tell me your current SIEM + EDR (e.g., Splunk + CrowdStrike, Sentinel + Defender, Elastic + SentinelOne), I can narrow this to the 3–5 products that fit that stack and compare log ingestion, autonomous triage, integrations, human approval controls, deployment model, and pricing.
