Agentic Workflow for Automated Security Report Generation for Board & Executives

This agent acts as the workflow's pipeline, connecting to SIEM (Splunk, Sentinel), SOAR, ticketing (ServiceNow), and cloud security APIs. It extracts raw incident metrics, response times, and business context, then enriches records with asset criticality and regulatory scope tags. It handles API rate limits, pagination, and schema normalization to create a clean, unified dataset for analysis, eliminating the manual log-query and spreadsheet-compilation bottleneck.

Operating on the enriched dataset, this agent calculates KPIs (MTTR, MTTD, incident volume by severity), identifies trends (attack vector shifts, regional hotspots), and performs period-over-period comparisons. It uses statistical models to highlight significant deviations and correlate security events with business outcomes (e.g., downtime cost). This transforms raw data into actionable insights, automating the analytical heavy-lifting typically done by senior security analysts.

This LLM-powered agent structures the synthesized metrics into a coherent executive narrative. It follows pre-approved templates, emphasizes business impact over technical detail, and generates concise summaries, bullet points, and visual commentary for charts. The agent incorporates a retrieval-augmented generation (RAG) layer over past reports and policy documents to ensure consistency and appropriate terminology. It produces a first-draft report in minutes, bypassing the blank-page problem for report owners.

This orchestrator manages the review lifecycle. It routes the draft report to predefined stakeholders (CISO, Legal, Data Privacy Officer) via email or collaboration tools (Slack, Teams), tracks feedback, and manages version control. It escalates overdue reviews and consolidates comments into a single change log. This agent enforces the necessary governance and audit trail, replacing ad-hoc email chains and ensuring no regulatory or legal sign-off is missed before distribution.

The final agent handles controlled dissemination. It publishes the approved report to a secure portal (e.g., a board portal like Diligent or a restricted SharePoint site), sends encrypted PDFs to a defined distribution list, and archives the final version along with all source data and approval logs to an immutable storage system. This ensures timely, secure delivery to executives and board members while creating a permanent, defensible record for audits and historical reference.

Primary beneficiary and workflow sponsor. Gains a consistent, defensible data pipeline from SIEM/SOAR tools (like Splunk, Sentinel) into board-ready narratives. Automates the manual, high-stress monthly/quarterly report compilation, freeing up senior staff for strategic risk management. The workflow provides auditable metrics on MTTR, incident volume, and control effectiveness, directly supporting budget and resource justification.

Consumers of the final output. Receive timely, consistent, and insight-driven reports that translate technical data into business risk and financial impact. The automated narrative, generated by LLM agents guided by compliance frameworks, highlights trends, root causes, and program effectiveness, enabling faster, more informed governance decisions without requiring deep technical expertise.

Key data providers and workflow participants. The system pulls validated incident data from their ticketing and SOAR platforms (ServiceNow, Cortex XSOAR). It reduces their manual data-call overhead for executive reporting. They are involved in configuring data quality rules, reviewing automated narrative drafts for accuracy, and managing exception queues for unusual incidents that require human contextualization before inclusion.

Data source stakeholders. Their systems (cloud platforms, ERP, CRM) generate the logs and telemetry that feed the underlying incident data. The automated report provides them with a consolidated view of security events affecting their domains, fostering accountability and highlighting areas for security investment. They may be involved in approval gates for data ingestion pipelines.

Governance and control stakeholders. Benefit from automated, consistent reporting that supports regulatory disclosures (e.g., SEC, GDPR). They define the approval workflow and retention policies for final reports. The system incorporates their required frameworks and language, ensuring narratives meet legal and compliance standards before distribution, reducing last-minute review cycles.

Builders and operators of the custom workflow. This cross-functional team (Solutions Architects, DevOps, SecOps) designs the agentic architecture using tools like LangGraph for orchestration, implements data connectors, builds the LLM prompting and validation logic, and establishes the secure distribution mechanism (e.g., encrypted PDFs to a secure portal). They own the pipeline's reliability, monitoring, and iterative improvement.