AI workers for security teams that triage alerts, summarize incident threads, and track open findings without an analyst glued to the queue. Connect Jira, Slack, and your ticket queue, then let the firewall control exactly what the worker reads.
A Security AI worker is an AI agent set up to run one security job unattended, such as triaging alerts, summarizing an incident thread, or tracking open findings to closure. It typically touches Jira security tickets, Slack incident channels, Outlook alert mail, and linked issue trackers, and only the queues, channels, and fields you approve.
Read new alert tickets in Jira, group duplicates, tag by severity, and route the highest-risk ones to the incident channel in Slack.
Condense a long Slack incident channel into a clear timeline of what happened and what is still open, ready for the postmortem.
List security findings in Jira past their remediation date and nudge each owner so nothing lingers unpatched past its target.
Compile new and unresolved findings into one digest for the security lead, so the weekly review starts from a full picture.
A security worker connects to where alerts and findings live. Point it at Jira for security tickets, Slack for incident channels, Outlook for alert mail, and any linked issue tracker. You approve which queues and channels it can read, so a triage worker sees the alert queue without reaching unrelated engineering or HR data.
For a security team, restraint matters. The firewall can keep the worker read-only so it triages and summarizes without changing tickets, redact sensitive details before they reach the model, and confine it to named queues. DLP scanning flags anything sensitive, rate limits keep alerts calm, and the audit trail records every ticket and channel it opened. You can revoke any part of its access instantly.
Only if you allow it, and most teams keep a security worker read-only so it triages and summarizes without altering findings. When you do grant write access, the firewall limits it to the fields you approve, so it can tag severity without closing an incident. Every action is recorded in the audit trail, giving you a clear record of what the worker touched.
A security worker runs behind the firewall, which redacts sensitive details before they reach the model and scopes the worker to named Jira queues and Slack channels. DLP scanning flags anything that should not leave, and content outside the approved scope stays invisible. Every read is logged, so you have a full record of what the worker accessed during an incident.
Yes, a security worker can read the Slack incident channel you scope in and condense it into a clear timeline of events and open items for a postmortem. It stays read-only on the channel, redacts sensitive strings, and channels you leave out stay hidden. You control which channels it reaches, and every message it reads is recorded in the audit trail.
No, unless you explicitly grant write access a security worker only reads, triages, and reports, leaving response actions to your team. This keeps a human in the loop on every decision. When you do allow narrow writes such as tagging, the firewall confines them to the fields you approve, logs each one, and lets you revoke that access at any moment.