Contents
- 1 Tines for CSIRT Analysts – Automating Detection and Response in Hybrid Environments
Tines for CSIRT Analysts – Automating Detection and Response in Hybrid Environments
Bringing automation, speed and consistency to modern incident response.
Overview
In a modern CSIRT (Computer Security Incident Response Team), analysts handle a continuous stream of alerts across cloud, on-premise, and hybrid infrastructures.
Manual triage, enrichment, and escalation consume time that could be spent hunting or improving detections.
Tines solves this challenge by providing a low-code automation layer that connects directly to cloud APIs, SIEMs such as Elastic, Azure Sentinel, and AWS Security Hub, and security tooling including CrowdStrike, VirusTotal, and Slack.
This page focuses on how a CSIRT analyst can operationalise Tines within a detection and response workflow — directly aligning with the core requirements of a Senior CSIRT Analyst role.
Why Tines Matters for CSIRT Operations
- Speed and consistency: Automates enrichment and containment tasks, reducing Mean Time To Respond (MTTR).
- Multi-cloud integration: Natively connects to AWS, Azure, and on-prem systems through API authentication.
- Elastic integration: Pull alerts or IOC data directly from Elastic Security, trigger automated playbooks, and push results back for correlation.
- Transparency and auditability: Each workflow (“Story”) is visual, version-controlled, and easy to review during audits.
- Scalability: Easily extends across multiple environments and tools without heavy infrastructure.
Example Tines Stories for a CSIRT Analyst
1. AWS GuardDuty Auto-Triage and Enrichment
Trigger: GuardDuty event ingested via AWS Security Hub.
Actions:
- Retrieve the event payload from Security Hub.
- Query the affected asset in CrowdStrike Falcon for hostname, user, and recent detections.
- Enrich indicators (IP, domain, hash) through VirusTotal and internal threat intel feeds.
- Determine severity based on enrichment results and MITRE ATT&CK mapping.
- If severity is high → isolate the EC2 instance or disable the IAM user.
- Create a Jira ticket and send a Slack summary to the on-call SOC channel.
- Log results in Elastic for further correlation and reporting.
Outcome: Full enrichment and containment completed in seconds, with all actions documented automatically.
2. Elastic SIEM Correlation and Case Creation
Trigger: High-fidelity alert generated in Elastic Security.
Actions:
- Query Elastic for associated events in the same session or user timeline.
- Cross-check asset reputation using Shodan, AbuseIPDB, and ThreatFox APIs.
- Post results to Slack with analyst reaction buttons (Mark Safe / Investigate Further).
- If “Investigate” is selected → automatically open a case in Jira and enrich with previous incidents.
- Generate a summary back into Elastic for tracking and metric dashboards.
Outcome: Analysts spend less time switching tools, and investigations are instantly correlated.
3. Kubernetes Security Alert Enrichment
Trigger: Detection from container runtime or AWS EKS logs (via Elastic or CloudWatch).
Actions:
- Parse pod metadata from the event.
- Retrieve image hash and check against Docker Hub or Trivy vulnerability scan.
- Enrich results using Elastic APM traces to identify the impacted microservice.
- Notify Slack with contextual data and rollback guidance.
- Create a ticket for DevSecOps follow-up if the issue relates to an outdated image.
Outcome: Automated enrichment provides instant insight into container-level threats.
4. Azure Sentinel Credential Misuse Workflow
Trigger: Sentinel alert for suspicious sign-in or privilege escalation.
Actions:
- Extract user ID and session IP from the alert.
- Validate location data against Azure AD sign-in logs.
- Enrich IP with MaxMind GeoIP and internal VPN IP lists.
- If IP is external and not on approved ranges, disable account in Azure AD and notify SecOps.
- Generate a response ticket with enrichment context.
Integrations and API Examples
| Platform | Integration Purpose |
|---|---|
| Elastic Security | Pull high-severity detections via REST API; push back case updates. |
| AWS Security Hub | Receive GuardDuty and CloudTrail findings; automate enrichment. |
| Azure Sentinel | Correlate cloud-identity anomalies and escalate automatically. |
| CrowdStrike Falcon | Retrieve device, user, and detection history via Falcon API. |
| VirusTotal / ThreatFox | IOC enrichment and scoring. |
| Slack / Teams | Real-time notifications and analyst approvals. |
| Jira / ServiceNow | Automatic incident creation and ticket updates. |
Tines and Threat Hunting
Beyond incident response, Tines can assist with threat-hunting automation.
Analysts can schedule recurring queries against Elastic, AWS CloudTrail, or Azure Activity Logs, automatically collate results, and publish findings to Confluence or dashboards.
This creates a repeatable, auditable hunt process — one of the key responsibilities of a senior CSIRT analyst.
Aligning with the CSIRT Analyst Role
For a Senior CSIRT Analyst, the goal isn’t just automation for its own sake — it’s about reducing friction between detection, enrichment, and response.
Tines supports this by:
- Turning Elastic or Security Hub alerts into structured response playbooks.
- Allowing proactive hunt automation in Python-style logic but through a visual interface.
- Standardising evidence collection for IR reports.
- Supporting collaboration with DevOps via Slack and ticketing integrations.
- Reducing analyst fatigue by automating common triage and escalation steps.
In Practice
Even if you haven’t used Tines directly, experience with:
- PowerShell and Bash scripting,
- Splunk or Taegis playbooks, and
- API-driven automation
translates directly.
These same principles — event-driven logic, enrichment, decision branching, and orchestration — are what Tines simplifies.
Example Visual Flow
A typical GuardDuty response story:
AWS Security Hub → CrowdStrike → VirusTotal → Decision (Severity > 70?) → Contain IAM User → Notify Slack → Create Jira Ticket → Log in Elastic
Conclusion
Tines provides a scalable, auditable way to operationalise automation across the CSIRT environment.
Whether enriching alerts from Elastic, correlating AWS findings, or orchestrating container response actions, it enables analysts to respond faster, collaborate better, and continuously improve the organisation’s defensive posture.