Who AI recommends, and when it changes.
Data as of Jun 29, 2026 · Based on 67 AI answers · A buyer need in AI-Powered SIEM and SOAR Platforms. · See how Parse measures this
Between January and June 2026, is the most recommended brand for AI-powered SIEM threat investigation, capturing 22.4% of recommendations. AI assistants point buyers to Sentinel's deep integration with Security Copilot, which offers natural language queries and automated investigation directly within the dashboard. follows with Charlotte AI, but 's lead is clear.
Where a different pick wins:
Stellar CyberStellar Cyber's AI Investigator is designed for lean teams, offering multi-layer AI and natural language queries to automate threat hunting. · 2 sources
SecuronixSecuronix's SNYPR excels at user entity behavior analytics, using generative AI to investigate insider threats and complex identity attacks. · 2 sources
AlphabetGoogle Security Operations infuses Gemini AI into Chronicle, making it a natural fit for organizations already on Google Cloud. · 2 sources
CiscoCisco (via Splunk) provides agentic AI for threat triage and MITRE ATT&CK mapping directly within the Splunk Enterprise Security dashboard. · 2 sources
Recommendation share
Microsoft leads at 22% of AI recommendations; CrowdStrike follows at 13%.
By platform
Platforms disagree: Microsoft leads on Google AI Overviews and ChatGPT Search, Cisco on ChatGPT.
Representative prompts behind this market ranking, and how AI tends to answer.
Buyer needs that sit next to this one in the same market.
Why here: Microsoft leads with Microsoft Sentinel's tight integration of Security Copilot for natural language threat investigation and automated response. · 2 sources
Why here: CrowdStrike gains traction through Charlotte AI, a conversational co-pilot for threat hunting and automated triage within the Falcon platform. · 2 sources
Why here: Cisco surfaces via Splunk's agentic AI, which automates investigation and maps threats to MITRE ATT&CK in the ES dashboard. · 2 sources
Why here: Alphabet appears through Google Security Operations' Gemini AI, providing conversational natural language investigation in Chronicle. · 2 sources
Why here: IBM's QRadar with watsonx.ai Investigation Assistant automates alert enrichment and behavioral anomaly detection for faster incident response. · 2 sources
Why here: Palo Alto Networks uses AgentiX agents in Cortex XSIAM to combine SIEM, SOAR, and EDR with ML-driven incident correlation. · 2 sources
wins on efficiency vs static playbook workflows
Why here: SentinelOne's Purple AI acts as a generative AI analyst, autonomously investigating threats and providing natural language summaries. · 2 sources
Why here: Stellar Cyber offers an AI Investigator with multi-layer AI, enabling natural language threat hunting for lean security teams. · 2 sources
“We use a cybersecurity SIEM. Who offers an AI co-pilot to help investigate threats within that dashboard?”
AI responses list 
Microsoft“My cybersecurity analysts are overwhelmed by log data. Who offers AI "co-pilots" specifically for SOC (Security Operations Center) teams?”
AI recommends SOC-specific co-pilots like 
