Best AI SOC analyst agent

Combined ranking

1. 1
   DDropzone AI—10 pts

   Claude #1Gemini #1

   The most proven purpose-built AI SOC analyst — autonomously runs end-to-end investigations (evidence gathering, cross-source correlation, verdict with an auditable report) across a large pre-built integration catalog (Splunk, Sentinel, CrowdStrike, Okta, email, cloud) with no playbooks to author; strong enterprise and MSSP adoption and transparent reasoning make it the safest drop-in tier-1 analyst for the assumed typical buyer: a lean, multi-vendor SOC.

   Gemini In a near-tie with Intezer for pure-play investigation, it edges ahead due to its rapid, plug-and-play no-code integration model and predictable per-investigation pricing that is highly accessible for mid-market practitioners.

   Where it falls short

   per Claude Triage/investigation only — it recommends rather than executes broad response actions, so you still need humans or SOAR for containment, and premium pricing is hard for very small teams to justify.

   per Gemini Lacks native workflow orchestration and response containment tools, relying heavily on third-party integrations to execute remediation.

2. 2
   IIntezer—6 pts

   Claude #4Gemini #2

   In a near-tie with Dropzone AI, it brings unmatched forensic-grade depth and malware disassembly to endpoint and phishing alerts, resulting in less than 4% of alerts requiring human escalation.

   Claude Longest real-world track record in autonomous triage (shipping since ~2022), grounded in best-in-class malware/file/memory analysis that produces high-confidence verdicts on endpoint, email, and phishing alerts at very high volume, with predictable per-alert economics proven at MSSP scale.

   Where it falls short

   per Claude Strongest where its analysis engines apply (files, endpoints, phishing) — noticeably thinner on identity, SaaS, and cloud-control-plane investigations than LLM-native rivals.

   per Gemini Primarily optimized for file, endpoint, and email telemetry, leaving gaps in complex cloud infrastructure or legacy network traffic triage.

3. 3
   PProphet Security—5 pts

   Claude #2Gemini #5

   Near-tie with Dropzone — Prophet AI matches it on autonomous investigation depth, with unusually rigorous per-alert evidence trails and feedback loops that learn each environment's benign patterns, fast time-to-value, and a strong Palo Alto/Cortex-pedigree team.

   Gemini Offers a comprehensive agentic SOC platform that seamlessly blends alert triage, natural-language threat hunting, and proactive detection engineering advice to systematically harden defenses.

   Where it falls short

   per Claude Younger vendor with a smaller integration catalog and customer base than the incumbents it competes with — a riskier bet for conservative enterprises, and it likewise stops short of autonomous response.

   per Gemini Broad platform footprint makes it an expensive and complex choice for organizations looking only for a lightweight, single-purpose alert-triage agent.

4. 4
   RRadiant Security—3 pts

   Claude #3Gemini —

   Early category entrant that goes past verdicts to per-incident remediation playbooks (one-click or auto), covers a broad range of alert types, and added log management that offsets SIEM cost — a good fit for lean teams wanting triage plus response in one product.

   Where it falls short

   per Claude Investigations are more templated and prescriptive than the top two's free-form reasoning, so novel or unusual alert types get shallower handling.

5. 5
   TTorq Socrates—3 pts

   Claude —Gemini #3

   Represents the premier agentic SOAR solution for highly mature security teams, offering powerful natural-language automation builders and a fleet of HyperAgents that orchestrate complex cross-stack response workflows.

   Where it falls short

   per Gemini Requires full adoption of the Torq hyperautomation platform and demands dedicated engineering resources to design and maintain agent workflows.

6. 6
   DD3 Security Morpheus—2 pts

   Claude —Gemini #4

   Replaces rigid, static playbooks with a dynamic triage reasoning graph and adaptive playbook generation, providing enterprise-grade accountability and auditability for complex threat paths.

   Where it falls short

   per Gemini High platform complexity and steep learning curve make it difficult to implement and manage for smaller or mid-market security teams.

7. 7
   CCrowdStrike Charlotte AI—1 pts

   Claude #5Gemini —

   Charlotte AI Detection Triage is trained on years of Falcon Complete human analyst decisions and delivers verified ~98% triage-agreement accuracy with bounded-autonomy controls — for the large population of Falcon-standardized SOCs it is the most accurate, lowest-friction agentic triage available; rank assumes the buyer already lives in CrowdStrike.

   Where it falls short

   per Claude Ecosystem-locked — it triages CrowdStrike detections, not your Splunk/Sentinel/email/SaaS alert firehose, so it cannot be your entire tier-1.

Just missed the top 5

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously