Anomaly detection and SOC workflows

Let the platform learn normal traffic and alert on deviations, and run investigations from the SOC view.

Goal

Understand what anomaly detection can and cannot do, and use the SOC view to investigate and respond to incidents.

Anomaly detection

Signature rules catch known attacks. Anomaly detection targets the unknown: it learns the normal shape of your traffic (rates, paths, response codes, client mix) and raises alerts on significant deviations — a scraping campaign, a credential-stuffing wave, an internal host suddenly beaconing outbound.

Expectations to set:

It needs a learning period on real traffic before alerts are meaningful.
It produces leads, not verdicts — a human (or a well-tested automation) decides the response.

The SOC view

The SOC (security operations) view brings events, alerts, and context together:

Timeline of security events across WAF, IDS, and anomaly sources
Client and target drill-downs: what else did this IP do?
Response actions: block a client, tighten a rule, add to a list

A minimal investigation loop

An alert fires (say, anomalous request rate to /login).
Drill into the client: geography, reputation, history, user agents.
Confirm the pattern (many accounts, high failure rate → credential stuffing).
Respond: challenge or block the source, tighten the login rate limit.
Note the finding so the next analyst has context.

Verify

After the learning period, a simulated burst against one endpoint raises an anomaly alert.
From the alert you can reach the client drill-down in one click.

Pitfalls

Acting on every anomaly alert automatically causes self-inflicted outages. Automate only responses you have rehearsed.