Triage every alert, write the incident summary, route to the right responder.
ChatGPT classifies SIEM alerts by threat type and severity, attaches context from prior incidents, and drafts the IR ticket with recommended next steps for the security team.
84 alerts triaged · 3 escalated. Top-priority case:
Customer
“Anomalous login activity flagged for 3 user accounts from a new ASN — burst of 47 attempts in 90 seconds, all from same IP block.”
Agent draft · in your tone
Auto-classified as credential-stuffing pattern (matches signature CS-441 from Jan incident). All three accounts forced to re-authenticate, IP block added to deny-list, MFA challenge logs collected for review. Ticket P1 opened in Linear; security on-call paged.
How does OpenAI (ChatGPT) work for cybersecurity teams?
OpenAI (ChatGPT) works for cybersecurity teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your cybersecurity operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your cybersecurity team to focus on high-value strategic work. Teams typically see lower faster anomaly identification once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your cybersecurity team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For cybersecurity teams, this typically means routing workflows from tools like Splunk alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Auto-classified as credential-stuffing pattern (matches signature CS-441 from Jan incident). All three accounts forced to re-authenticate, IP block added to deny-list, MFA challenge logs collected for review. Ticket P1 opened in Linear; security on-call paged.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Production environment9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket INC-2841.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged INC-2841 as the matching topic.
Frequently asked questions
Only on actions you've pre-authorized (e.g., block an IP that matches a known signature). Substantive incident response stays with humans.
Splunk, Datadog Security, Sumo Logic, Elastic Security, Microsoft Sentinel, CrowdStrike, SentinelOne. Tickets land in your existing IR tool (Jira, ServiceNow, PagerDuty).
Complementary. SOAR runs deterministic playbooks; this handles the judgment layer — "is this alert real, what's the right priority, what context do we need before paging."
Yes. Patterns from prior incidents (signatures, attacker behaviors, false positives) inform how new alerts are triaged. Your environment's baseline becomes the agent's reference.
Available in private deployment for regulated environments. Audit logs are immutable; the agent's actions are reviewable down to the prompt.
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