Ingests CVE/IOC feeds, merges data, triages risk with OpenAI, and routes actionable alerts via email—logging results to Google Sheets.
The AI agent ingests threat intel feeds from CVE and IOC sources, normalizes the data, and merges it into a unified view. It uses OpenAI to triage risk, generate recommended responses, and apply playbook logic to determine the appropriate action. It notifies stakeholders via email and logs all decisions to Google Sheets for auditability and traceability.
Performs end-to-end threat intel ingestion, risk triage, and alert routing.
Ingests CVE and IOC feeds from trusted sources
Normalizes and merges data into a single view
Evaluates risk severity with OpenAI and recommends responses
Applies playbook logic to decide whether to notify, monitor, or isolate
Sends alerts via email and logs to Google Sheets
Supports modular, no-code logic for easy customization
This AI agent replaces manual triage with automated risk assessment and consistent actions. It accelerates response times and provides an auditable decision trail.
Three-step process that is simple for non-technical users.
Ingest CVE and IOC feeds from trusted sources, normalize fields, and merge into a unified dataset.
Apply OpenAI to assess risk severity and generate actionable recommendations.
Apply playbook logic to determine the response (notify/monitor/isolate), then send email alerts and log to Google Sheets.
One realistic scenario.
Scenario: A critical CVE is published with multiple IOC indicators. The AI agent ingests feeds, correlates the indicators into a unified view, and triages the threat as high risk. It recommends immediate monitoring and containment actions, emails the on-call SOC team with specific actions, and logs the decision and data to Google Sheets for auditability. The workflow completes within minutes.
One supporting sentence.
Receive automated triage and actionable alerts that guide incident response.
Access concise threat intel and recommended actions for rapid containment.
Need structured data for enrichment and correlation across feeds.
Monitor workflow metrics and maintain auditable records.
Learn with a no-code threat intel workflow and practical use cases.
Prototype and operate threat intel ingestion with minimal setup.
One supporting sentence with short explanation.
Performs automated risk triage and action recommendations using AI prompts.
Delivers alert emails to designated recipients.
Logs alerts and decisions for audit and review.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
Yes. The AI agent relies on OpenAI for risk triage and decision support, requiring a valid API key. You configure prompts and model settings, and the agent applies your playbook logic to determine actions. Data processed by the AI remains within your configured destinations, and you can disable external services if needed. Security and access controls govern who can modify prompts and thresholds, helping prevent drift in triage decisions.
It ingests CVE and IOC feeds from trusted public and private sources you specify. The agent normalizes common fields and merges indicators into a single dataset for consistent processing. You can adjust source lists to align with your security policy and vendor relationships. The ingestion layer is designed to handle varying data schemas while preserving essential attributes for triage.
Yes. The AI agent exposes configurable thresholds and playbook rules so you can tailor risk scoring and response actions to your environment. You can adjust severity levels, required actions, and escalation paths without changing code. Changes apply to new indicators while preserving historical decisions for auditability. Ongoing adjustments can be tested in a sandbox before production rollout.
Alerts are sent via configured email recipients using the Gmail integration. You can specify on-call engineers, security managers, and relevant teams. Alerts include concise risk assessments, recommended actions, and links to the audit log in Google Sheets. If an alert is delayed, escalation rules can route copies to backup recipients to ensure visibility.
The AI agent relies on external services (OpenAI, Gmail, Google Sheets) for core functionality. An offline mode is not designed for the triage and alerting flow as described. If you need to operate in a restricted environment, you can mirror the ingestion and logging locally while using a secured bridge to the AI triage service. Privacy and data handling policies still apply to any externally hosted components.
Data privacy is governed by your configured destinations and retention policies. You control what data is sent to external services and how long logs are kept in Google Sheets. Encryption and access controls apply to transmission and storage. You can purge or anonymize sensitive fields according to your compliance requirements.
The AI agent includes retry logic and failover paths for critical integrations. If Gmail or Sheets are temporarily unavailable, the system will retry with backoff and notify designated contacts about the outage. Once services recover, pending alerts and logs are delivered or synchronized. You can configure alternate channels to ensure important notifications are not lost.
Ingests CVE/IOC feeds, merges data, triages risk with OpenAI, and routes actionable alerts via email—logging results to Google Sheets.
