Connect APVISO with Elastic / ELK Stack

How APVISO Integrates with the Elastic Stack

APVISO's Elastic integration streams penetration testing findings into Elasticsearch, enabling powerful visualization and correlation through Kibana. For organizations that run the ELK stack (Elasticsearch, Logstash, Kibana) as their security monitoring platform, this integration adds vulnerability assessment data to your existing security analytics workflow.

Real-Time Finding Indexing

When APVISO's AI agents discover a vulnerability, the finding is indexed as an Elasticsearch document in real-time. Each document contains structured fields including vulnerability title, severity level, CVSS score, affected endpoint, vulnerability category, reproduction details, scan ID, and timestamps. This structured format enables efficient querying, filtering, and aggregation.

APVISO uses a dedicated index pattern (e.g., apviso-findings-*) with a pre-configured index template that defines appropriate mappings for each field type. Date fields are mapped as dates, severity as keywords, CVSS scores as floats, and descriptions as text with keyword sub-fields.

Kibana Dashboards and Visualization

APVISO provides pre-built Kibana dashboards that give you immediate visibility into your vulnerability data. Dashboards include a vulnerability overview showing finding counts by severity over time, a trend analysis showing how your security posture changes across scans, a remediation tracker showing open vs. resolved findings, and a target heat map showing which applications have the most vulnerabilities.

You can customize these dashboards or build your own using Kibana's full visualization toolkit. Create custom charts, tables, maps, and metrics tailored to your reporting needs.

Correlation with Security Events

The real power of the Elastic integration is correlation. With APVISO findings in the same Elasticsearch cluster as your application logs, WAF events, IDS alerts, and authentication logs, you can identify connections between vulnerabilities and active exploitation attempts. For example, correlate a Critical SQL injection finding with database query anomalies in your application logs to assess whether the vulnerability has been exploited.

Elastic Security Integration

For organizations using Elastic Security (SIEM), APVISO findings can feed into detection rules and cases. Create detection rules that alert when a Critical finding is discovered on an internet-facing asset. Generate Elastic Security cases from APVISO findings for incident response tracking. This integration turns vulnerability data into actionable security intelligence.

Retention and Lifecycle

Configure index lifecycle management (ILM) policies to control how long APVISO data is retained. Hot data remains on fast storage for active analysis, warm data moves to cost-effective storage for historical queries, and cold data is archived for compliance retention requirements. This approach balances query performance with storage costs.