SOC work gets buried in alerts, handoffs, and reporting before the real incident even gets a clean look. When analysts spend the day sorting noise, chasing context, and rewriting the same notes, response slows down and important details slip. AI agents help your team triage faster, keep incidents organized, and move each case forward without adding more manual work.
The same SOC workload, but with fewer interruptions, less rework, and faster handoffs.
No engineering team required. Go from idea to running agent in minutes.
Tell the agent what it should do — in plain language. Or choose from a library of ready-made agent templates built for your industry. No code, no configuration files.
Link your email, CRM, spreadsheets, Slack, or any other tool with one click. The agent reads, writes, and acts across all your connected apps automatically.
Hit start. Your agent runs 24/7 and sends you a clear summary of everything it did — what it found, what it acted on, and what needs your attention.
One common incident path, handled by AI agents across the steps your team already uses.
The agent reads the alert details, checks for duplicates or obvious low-value noise, and groups it with related activity so the analyst does not start from scratch.
The agent gathers recent tickets, user activity, endpoint notes, and prior incidents tied to the same asset or account, then places the context into one working view.
As the analyst reviews the case, the agent turns actions, timestamps, and findings into clean notes so the record stays current without a separate write-up session.
The agent drafts the escalation summary, lists the open questions, and prepares the follow-up tasks so the next step is ready before the handoff happens.
The agent assembles the final timeline, closure notes, and shift summary, then updates the report so leadership and the team have a clean record of what happened.
Built for the repetitive work that slows analysts down during every shift.
Reads incoming alerts, groups duplicates, and assigns a first-pass priority when alerts land in the queue.
Pulls related ticket notes, user history, endpoint details, and prior incidents when a case is opened.
Drafts live case notes from analyst actions, timestamps, and findings while the investigation is in progress.
Prepares escalation summaries, open questions, and next-step tasks when a case needs another team or a customer update.
Builds the shift handoff note from open cases, pending actions, and unresolved alerts at the end of the shift.
Assembles the final incident timeline, actions taken, and closure summary when the case is resolved.
See how we stack up against manual work and every other automation tool on the market.
One-click connections. No API keys, no developer setup required.
AI agents help SOC teams cut alert backlog, speed up triage, and keep incident handling, documentation, and follow-up moving in one clean workflow.
Directional outcomes from reducing repetitive triage, note-taking, and handoff work.
"The biggest win is not just speed. It is that the queue is cleaner, the notes are better, and the next analyst does not have to guess what happened."
Questions SOC owners and operators usually ask before putting AI agents into the workflow.
If your SOC is still spending too much of the shift sorting noise, rewriting notes, and chasing context, now is the time to put agents on the repetitive work before the backlog gets worse.