Financial Services
Observability that stands up to an examiner
Banks and credit unions live with two clocks: the customer's — every branch and ATM online, every morning — and the examiner's — prove what changed, when, and who was notified. Ntrospect serves both: real-time branch health with automated root cause, on top of configuration history and retention policies built to be pointed at during an audit.
What makes financial networks hard
Branches fail expensively
A branch losing connectivity isn't an inconvenience — it's teller lines stopping and members noticing. Small IT teams need the root cause named, not forty alerts describing symptoms.
Every change is evidence
Examiners ask what changed on the network and when. If the answer lives in someone's memory or a terminal scrollback, that's a finding.
AI adoption is outrunning policy
Staff are pasting things into chatbots and standing up local models. Security teams need to see AI usage on the network before they can govern it.
Use case — a regional credit union with 22 branches and an audit calendar
The examiner asks; the platform answers
Every branch router and switch is enrolled in scheduled configuration backup over SSH. When a Tuesday-night change window touches QoS on twelve branches, the diffs are captured automatically — and when branch 7's voice quality degrades Wednesday morning, the evaluation ticket lists the config change as the prime suspect, next to the anomalies it caused. Mean time to 'it was the change' drops from an afternoon to a glance.
Retention is policy, not accident: full-fidelity metrics for 30 days, flow records for its investigation window, and 13 months of five-minute rollups — so capacity planning and the annual exam both have year-over-year history to point at. The storage page shows exactly what is kept and for how long, which is itself an answer examiners like.
Meanwhile, the AI dashboard surfaces what the security team can't see otherwise: which hosts talk to which AI services, a new local model server that appeared on a workstation subnet, an upload spike to a chatbot from a lending workstation. New-AI-talker alerts route to security with severity by policy — visibility first, then governance.
What powers it
Config backup and change detection
Scheduled SSH snapshots with unified diffs. Changes are first-class evidence in incident evaluations — and in audits.
Root-cause evaluations
Branch incidents arrive as one case file: anomalies, device logs, alerts, blast radius, and a pinpointed root-cause device with the evidence chain shown.
AI usage and shadow-AI visibility
Per-service AI traffic views, discovery of unsanctioned model servers, and alerting on new AI talkers and large uploads.
Retention you can point at
Per-table retention policies with 13-month rollups for trending — deliberate, visible, and adjustable in days.
Set it up yourself
See it with your own eyes
The live demo is the full Ntrospect interface with a realistic multi-site scenario — no signup, no install.