Monitor failed login events across apps, alert via Slack, create Jira security tasks, and log all events to Notion for audit-ready records.
The AI agent ingests failed login events from connected sources, normalizes incoming data, and detects repeated attempts within a configurable window. It triggers Slack alerts and creates Jira security tasks—grouped when necessary—while persisting all event details in Notion for traceability. The agent operates end-to-end from data intake to incident logging, enabling faster, structured responses and auditable records.
Core capabilities in a single automated flow.
Normalize failed login data from webhook.
Validate required fields and alert when data is missing.
Detect multiple attempts within a sliding window and categorize as single or multiple.
Create Jira security tasks (single for single attempts, grouped for multiple).
Post structured Slack alerts with concise or detailed summaries.
Log all attempts into Notion with username, IP, total attempts, and type.
Before − Manual triage slows incident response. Before − Alerts are fragmented across Slack channels. Before − No automatic grouping for repeated failed attempts. Before − Jira tickets can pile up per event. Before − Audit trails are scattered or incomplete across systems. After − Faster incident response with centralized Slack alerts. After − Grouped Jira tasks for repeated failures. After − Notion logs provide a single, auditable record. After − Consistent, structured data for investigations. After − End-to-end traceability from detection to resolution.
A simple 3-step flow that non-technical users can follow.
The AI agent starts when a failed-login event is received at the webhook endpoint.
The AI agent normalizes incoming data and ensures required fields exist; if fields are missing, it alerts via Slack.
The AI agent detects multiple attempts within a sliding window, then creates Jira tasks (single or grouped), posts Slack alerts, and logs to Notion.
A realistic scenario showing end-to-end automation.
Scenario: A user experiences 3 failed logins within 5 minutes from IP 203.0.113.45. The AI agent detects a multiple-attempt event, creates a grouped Jira security task with a summary and timestamps, posts a detailed Slack alert with a Jira link, and logs all attempts to Notion for auditing.
Roles that gain immediate value from this AI agent.
Accelerated detection and triage of authentication incidents.
Fast containment of access issues affecting infrastructure.
Centralized monitoring for high login traffic.
Quicker isolation of compromised credentials.
Maintaining auditable records of authentication events.
Automated incident workflows across Jira, Slack, and Notion.
Tools involved and what the AI agent does inside each.
Posts structured alerts to channels with concise or detailed summaries.
Creates security tasks; supports single or grouped tickets depending on repeat events.
Logs every failed login event in a database for audits and investigations.
Orchestrates data flow and integration between webhook, Slack, Jira, and Notion.
Concrete scenarios showing practical value across environments.
Common questions and detailed explanations.
The AI agent captures username, IP address, timestamp, and error details for each failed login event. It stores a log of each event in Notion and aggregates data for Jira tickets. The Notion database is designed to support audit trails and investigations, with fields for Total Attempts and Attempt Type. Data is retained in Notion and Jira records according to your retention policies, ensuring traceability across incidents. Access controls should be configured to restrict sensitive information to authorized users.
Yes. You can configure the sliding window duration and the threshold for marking an event as multiple attempts. The AI agent allows adjustments to these parameters to fit your environment and risk tolerance. Changes take effect in real-time and apply to subsequent events, ensuring alerts and tickets reflect current conditions. It is recommended to start with conservative values and adjust based on observed patterns.
Single attempts create lightweight Jira tasks with essential details and a Slack alert. Multiple attempts trigger a grouped Jira task that summarizes the attempts, with a reference to all relevant events and a detailed Slack digest. This separation helps avoid task fragmentation while preserving thorough context for investigations. Jira issues link back to the Notion log for full traceability.
The primary logs live in Notion for auditable records and easy review. You can export Notion databases as CSV or JSON according to Notion’s export capabilities and policies. If you need data in another system, you can route a copy of the events to your preferred data store through the integration layer. Ensure exports comply with data retention and privacy requirements.
The AI agent requires permissions to create and update Jira issues, post messages to Slack channels, and write to the Notion database. Minimum scopes should include issue creation, read access to projects, and bot message posting. It’s best to limit access to the specific projects and channels used for security alerts. Regularly review token access and rotate credentials to maintain security.
Yes. The AI agent’s integration layer supports additional systems via APIs or webhooks. You can extend it to connect to SIEMs, ticketing systems, or threat intelligence feeds. Each additional connector should align with your security posture and data governance policies. Documentation and tests help ensure compatibility and reliability.
Start by verifying webhook delivery and payload structure, then check credentials and scopes for Jira, Slack, and Notion. Review the Notion database schema to confirm fields exist and are accessible. Look for recent changes in configuration that might affect window settings or alert formats. Use test events to validate normalization, validation, and detection steps, and adjust as needed.
Monitor failed login events across apps, alert via Slack, create Jira security tasks, and log all events to Notion for audit-ready records.
