LangChain Automate

Target Audience

• Cybersecurity Analysts: Those who need to analyze and respond to cybersecurity incidents efficiently.
• Incident Response Teams: Teams looking for automated solutions to enhance their incident response capabilities.
• IT Security Managers: Managers seeking to streamline workflows and improve the effectiveness of their teams.
• Developers: Individuals interested in integrating AI capabilities into their cybersecurity tools and processes.

Problem Solved

This workflow addresses the challenge of efficiently analyzing and responding to cybersecurity alerts by automating the extraction of Tactics, Techniques, and Procedures (TTPs) from Security Information and Event Management (SIEM) data. It provides actionable remediation steps and historical context, minimizing the time spent on manual analysis and improving overall response effectiveness.

Workflow Steps

1. Trigger: The workflow is initiated either by receiving a chat message or by manually clicking 'Test workflow'.
2. Data Extraction: It pulls MITRE ATT&CK data from Google Drive, ensuring access to the latest threat intelligence.
3. Processing Alerts: The workflow processes SIEM alerts, extracting relevant information using AI agents that are trained on cybersecurity protocols.
4. Embedding and Storage: Extracted data is embedded into a Qdrant collection, allowing for efficient retrieval and analysis.
5. Querying: The workflow queries the Qdrant vector store to retrieve relevant MITRE ATT&CK entries that correlate with the alerts.
6. Updating Tickets: It updates Zendesk tickets with the extracted TTPs and remediation steps, ensuring that all relevant stakeholders are informed.
7. Looping: The workflow loops through multiple tickets, applying the same process to each, enhancing efficiency and ensuring thorough analysis across all incidents.