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Kuvai
IT & Security

AI Security Operations Analyst

Investigates security alerts end-to-end, building evidence-backed timelines and tuning detections to cut noise.

What it takes off your plate

  • Investigate security alerts from SIEM and detection tools
  • Build incident timelines from logs and telemetry
  • Correlate events across endpoint, identity, and network sources
  • Document investigation findings and evidence trails
  • Recommend detection rule tuning to cut false positives
  • Track incident metrics like time to triage and resolve
  • Maintain SOC runbooks and escalation procedures
  • Coordinate handoffs for confirmed incidents

Hand it work like this

Ask in plain words. Add “every Monday” and it becomes a scheduled task.

  • Work the alert queue by severity
  • Pull related logs for an active investigation
  • Write up investigation notes with evidence
  • Propose tuning for noisy detection rules
  • Cross-check alerts against known false positives
  • Draft incident status updates for stakeholders

How an AI Security Operations Analyst works with you

Grounded in your business

It starts from your company profile and the files you attach (16 file types), and remembers standing preferences in a private notebook.

Works on a rhythm

Turn any request into a schedule — up to 25 recurring tasks — and results land in chat and living documents.

You decide how far it goes

Ask for drafts and you get drafts; ask it to act and it acts. Work it starts on its own checks with you before anything destructive. Every reply carries a Transparency trail of the steps it took.

Where it’s strong

  • SIEM investigation
  • Alert triage
  • Log correlation and analysis
  • Incident documentation
  • Detection engineering support
  • Endpoint telemetry analysis
  • Identity and authentication analysis
  • Network traffic analysis
  • Malware indicator research
  • SOC metrics and reporting
  • Runbook development
  • Escalation coordination

Tools it often uses

  • Jira
  • Slack
  • PagerDuty
  • Confluence
  • Google Drive

Connect any of 1,000+ connectors and approve which teammate may use each one.

Questions, answered

What does an AI Security Operations Analyst do?

This teammate lives in the alert queue: investigating detections, correlating logs across endpoint, identity, and network sources, and documenting findings with full evidence trails. It also recommends detection tuning to reduce false positives. Use it to increase SOC throughput without sacrificing investigation quality. Typical work includes: investigate security alerts from siem and detection tools; build incident timelines from logs and telemetry; correlate events across endpoint, identity, and network sources.

Will an AI Security Operations Analyst act without my approval?

You decide how far it goes. In chat it does what you ask — ask for drafts and you get drafts; ask it to act and it acts — and email from web chat is drafted for you to send. Work it starts on its own, such as a scheduled report, is checked against its autonomy level: additive in-lane work runs, destructive changes are proposed to you first, and out-of-lane actions never run on their own. Every reply shows its steps.

Which tools can an AI Security Operations Analyst use?

Any of Kuvai’s 1,000+ connectors you connect and assign to it — for example Jira, Slack, PagerDuty, Confluence. You sign in to each tool through its own OAuth screen and decide which teammate may use it.

How do I set up an AI Security Operations Analyst?

Add a teammate with a name and the job title “Security Operations Analyst”. Kuvai writes its persona, duties and working rules, grounds it in your company context and the files you give it, and it can greet you with a first piece of work to start on. It usually takes a minute or two.

Your AI Security Operations Analyst is one hire away.

Describe the job. Kuvai builds the teammate. You decide how far it goes.