Pilot an AI triage tool in shadow mode: let it analyze real alerts while analysts keep working as usual, then compare its output with what they decided. Two weeks is enough to see misses, edit patterns and data handling problems. Agree the pass criteria before you start.
Before day one
Settle four things.
Scope. Choose two or three alert types you see often, plus one serious rare type you can replay from old tickets.
Data rules. Decide what the tool may see. Apply redaction as described in what log data to redact, and check the provider's retention terms.
Permissions. Read-only for the pilot. No action tools. See the permissions checklist.
Pass criteria. Write them down now, for example no missed true positives on the replayed serious cases, an agreed edit rate ceiling, and no data handling violations. The numbers are yours to set.
Week one: shadow mode and reference set
Days 1 to 2: connect the tool and confirm it only reads what you allowed. Run a test of injected instructions in alert fields to see how it behaves; the technique is in prompt injection in SOC AI assistants.
Days 3 to 5: run live alerts through it silently. Meanwhile a senior analyst labels a sample of closed tickets without seeing the tool's answer. That is your reference set.
Week two: compare and stress
Days 6 to 8: compare tool output with the reference set. Count missed true positives, false escalations and agreement by alert type. Read every miss.
Days 9 to 10: put the tool in front of analysts and measure how often they edit its summary, and whether they feel they can check its work quickly. Ask them where it wasted time.
Days 11 to 12: test failure cases. Feed it an alert with missing fields, a very long log, and a nonsense input. See whether it admits uncertainty or guesses.
Days 13 to 14: review the audit record. Can you reconstruct what it saw and said for any run? See what to log.
The decision
Choose one of four outcomes.
- Stop. The misses or data risks are too high.
- Extend in shadow mode with fixes.
- Adopt for summaries only, with analysts deciding.
- Adopt for recommendations on specific alert types, with a review cadence.
Do not skip to autonomous action after one pilot.
Questions to put to any supplier
Ask where data is processed and kept, how model changes are announced, whether you can export logs, and how the product handles untrusted text in alerts. Ask for evidence you can verify, not a headline percentage.
Quick check
Why shadow mode?
It tests the tool on real alerts without letting its mistakes affect decisions or systems.
What if the tool does well on average but misses one serious case?
Treat that miss as a finding in its own right. Understand why it happened before extending any trust.
Last reviewed: 19 October 2026.
