Implementing Security Monitoring

1. Understanding Security Monitoring Goals

Goal	Detail
Detect	Identify attacks in progress
Investigate	Understand scope and impact
Respond	Contain + remediate quickly
Improve	Feedback to detection rules

2. Monitoring Failed Authentication Attempts

Metric	Threshold
Per user	5 fails / 5 min
Per IP	20 fails / min
Per ASN	1000 fails / hour
Global	Baseline + 3σ

3. Detecting Brute-Force Attacks

Signal	Detail
Sequential passwords	Common dictionary
Many users from 1 IP	Spraying
Distributed	Many IPs, one user
Action	CAPTCHA, lockout, IP block

4. Implementing Anomaly Detection

Approach	Detail
Baseline	Per-user, per-tenant
Methods	Z-score, Isolation Forest, autoencoders
Alerts	Confidence-tier triage

5. Using SIEM Integration

SIEM	Detail
Splunk ES	Search Processing Language
Microsoft Sentinel	KQL queries
Elastic Security	Open-source
Chronicle	Google Cloud

6. Implementing Real-Time Alerts

Channel	Use
PagerDuty	Critical, paged
Slack	Team awareness
Email	Daily digests
SOAR	Automated response (XSOAR, Tines)

7. Monitoring Token Usage

Signal	Detail
Token from new IP/country	Possible theft
Refresh token reuse	Revoke family
High velocity	Automated abuse

8. Detecting Credential Stuffing

Indicator	Detail
Many usernames, low success	Stuffing
Datacenter IPs	+ signal
Headless UA / known bot	+ signal
Response	Block ASN, force MFA, password reset on hits

9. Using Threat Intelligence Feeds

Source	Detail
Commercial	Recorded Future, Mandiant
Open	AbuseIPDB, AlienVault OTX
Format	STIX/TAXII

10. Implementing Security Dashboards

Widget	Metric
Auth volume	Successes vs failures
Geo heatmap	Login locations
MFA adoption	% users enrolled
Risk score distribution	Daily histogram