VITI Security

AI for Security Teams: Summarising the On-Call Shift

by VITI Security TeamJun 24, 2026

AI tools can compress hours of on-call shift logs into a clear, structured handover summary in under two minutes - freeing analysts to act, not read.

AI for Security Teams: Summarising the On-Call Shift - VITI Security

AI for security teams is most useful when it handles the dull, time-consuming work that humans still have to do - like writing and reading the end-of-shift handover. An AI assistant can read through hours of alert logs, ticket updates, and chat threads, then produce a structured summary in under two minutes. The analyst reviews it, corrects anything off, and hands over. That is the whole workflow.

Why This Matters in 2026

Security operations run around the clock. When a shift ends, the outgoing analyst needs to pass context to the incoming one - what fired, what was investigated, what is still open, and what needs urgent attention. In practice, that handover note gets written quickly, at the end of a tiring shift, from memory. Details get missed. The incoming analyst then spends the first twenty minutes of their shift just reading back through tickets to fill the gaps. AI-assisted shift summarisation fixes both problems: the outgoing analyst is not writing from scratch, and the incoming analyst gets a consistent, structured document every time.

What AI Actually Does in the Handover Workflow

Three concrete tasks an AI assistant handles - each reviewed and approved by a human before use.

Alert Triage Recap

The AI reads the shift's alert feed and groups events by severity, source system, and disposition - closed, escalated, or still under investigation. The analyst checks the groupings are accurate before the summary goes to the next shift.

Open Ticket Digest

For any tickets still open at handover, the AI extracts the current status, last action taken, and what the incoming analyst needs to do next. It pulls this from ticket comments and chat logs so the analyst does not have to re-read every thread.

Priority Flag List

The AI identifies items that cross a threshold - high-severity alerts with no resolution, tickets idle beyond a set time, or repeat events from the same source - and surfaces them at the top of the summary. The analyst decides which flags are genuine priorities.

The On-Call Shift in Numbers

24/7
Continuous coverage means handover happens every shift, every day - a consistent overhead that compounds across a year
< 2 min
Time for an AI assistant to draft a structured shift summary from raw logs, tickets, and chat history
1 reviewer
One analyst reads and approves the AI draft before it becomes the official handover - human sign-off is not optional

Where to Start With AI for Security Teams Shift Handovers

  1. Pick one data source to start with - your SIEM alert feed or your ticketing system, not both at once. A narrower input gives the AI a cleaner task and makes it easier to spot errors in the first few drafts.
  2. Write a summary template your team already agrees on. The AI fills the template; the template is yours. Agree on sections up front: shift period, alerts by severity, open tickets, priority flags, and notes for the incoming analyst.
  3. Run the AI draft alongside your manual handover for two weeks. Compare them. Note where the AI misses context that the human caught, and adjust the prompt or the data source accordingly.
  4. Set a review step that cannot be skipped. The outgoing analyst reads the draft, makes corrections, and signs off before it is sent. The AI produces a starting point; the analyst is accountable for what goes out.
  5. After the trial, measure how long the review and correction step takes. If it is consistently under five minutes, the workflow is ready to formalise. If corrections are heavy, revisit the input data quality first.

Common Questions About AI-Assisted Shift Summaries

What if the AI misses a critical alert in the summary?
That is exactly why the human review step exists. The outgoing analyst reads the draft before it goes anywhere. If something is missing, they add it. Over time, you can also tune the AI to flag anything above a certain severity level as a required item - so it cannot be dropped from the summary even if the model deprioritises it.
Does this work if our alerts come from five different tools?
Yes, but start with one. Feeding five disparate data streams into an AI summariser without cleaning and normalising the data first will produce a noisy, unreliable draft. Get the workflow stable on your primary alert source, then add others one at a time.
Is the AI making any security decisions here?
No. The AI is reading and organising information the team already generated. Every decision - what to escalate, what to close, what to flag as priority - was made by a human analyst during the shift. The summary just captures those decisions clearly so the next analyst does not have to reconstruct them.

Want to See How This Fits Your Team?

VITI Security helps SMBs in India and the US make practical use of AI for security teams - starting with the workflows that save real time without adding new risk. Talk to us about where your team spends the most overhead, and we will show you where AI assistance makes sense.