Real-Time Alerting

Instant Security Alerts

Get notified immediately when threats are detected. DB Audit's intelligent alerting system ensures your security team never misses a critical event.

Intelligent Alert Management

DB Audit's alerting engine processes millions of events per second, using rule-based triggers and machine learning to identify genuine threats while minimizing false positives. Alerts are enriched with context and routed to the right team through your preferred channels.

<1s

Alert latency

99.9%

Alert delivery

Anomaly detection

20+

Integrations

Alert Types

Security Alerts

Detect and respond to security threats like unauthorized access, SQL injection attempts, and privilege escalation.

Failed login attempts
SQL injection detection
Privilege escalation
Unauthorized schema changes

Compliance Alerts

Monitor policy violations and audit requirements to maintain regulatory compliance.

PII access without authorization
Data export violations
Audit log tampering
Policy bypass attempts

Anomaly Alerts

AI-powered detection of unusual database activity patterns that deviate from normal behavior.

Unusual query patterns
Abnormal data access volume
Off-hours activity
New application connections

Performance Alerts

Monitor database performance and get alerted when queries or connections impact system health.

Slow query detection
Connection pool exhaustion
Lock contention
Resource threshold breaches

Notification Channels

Route alerts to the tools your team already uses. Configure multiple channels per alert and set up fallback routing for critical notifications.

Send alerts to individual or group email addresses

Slack

Post alerts to Slack channels with rich formatting

PagerDuty

Trigger incidents for on-call responders

Microsoft Teams

Integrate with Teams for enterprise collaboration

Webhook

Send JSON payloads to any HTTP endpoint

SIEM

Forward to Splunk, Datadog, or other SIEM platforms

Severity Levels

Classify alerts by severity to prioritize response and route to appropriate channels.

Critical

Immediate action required. Active security breach or system failure.

High

Urgent attention needed. Potential security risk or policy violation.

Medium

Should be investigated. Unusual activity or compliance concern.

Low

Informational. Noteworthy activity for audit purposes.

Alert Configuration

Define alert rules with triggers, thresholds, and routing. Use YAML configuration or the dashboard UI.

trigger Define the event type, threshold count, and time window.

channels Route alerts to multiple notification channels.

context Include relevant data fields in alert notifications.

suppression Prevent alert fatigue with cooldown and rate limiting.

# Alert Configuration Example
alerts:
  - name: failed-login-threshold
    description: Alert on multiple failed login attempts
    enabled: true

    trigger:
      event: login_failed
      threshold: 5
      window: 5m
      group_by: [username, source_ip]

    severity: high

    channels:
      - type: slack
        channel: "#security-alerts"
        mention: "@security-team"
      - type: email
        recipients: [security@company.com]
      - type: pagerduty
        service_key: ${PAGERDUTY_KEY}

    context:
      include:
        - username
        - source_ip
        - database
        - failed_reason

    suppression:
      cooldown: 15m
      max_per_hour: 10

AI-Powered Anomaly Detection

Machine learning models analyze database activity patterns to detect anomalies that rule-based alerts might miss. The system learns normal behavior and flags deviations automatically.

Adaptive Learning

The anomaly detection system continuously adapts to your environment. Initial baseline is established within 7 days, with ongoing refinement to reduce false positives.

# Anomaly Detection Configuration
anomaly_detection:
  enabled: true

  baseline:
    learning_period: 7d
    update_frequency: 24h

  detectors:
    - name: query-volume
      description: Detect unusual query volume
      sensitivity: medium
      alert_severity: medium

    - name: data-access-pattern
      description: Detect unusual data access patterns
      sensitivity: high
      alert_severity: high

    - name: off-hours-activity
      description: Detect activity outside business hours
      business_hours:
        start: "08:00"
        end: "18:00"
        timezone: "America/New_York"
        days: [monday, tuesday, wednesday, thursday, friday]
      alert_severity: medium

    - name: new-application
      description: Alert on connections from new applications
      alert_severity: low

  exclusions:
    users: [backup_user, monitoring]
    applications: [health_check, cron_job]

Escalation Policies

Ensure critical alerts are never missed. Configure multi-level escalation with automatic promotion to senior responders if alerts are not acknowledged.

# Escalation Policy
escalation:
  - name: security-incident
    description: Escalation for security incidents

    levels:
      - level: 1
        delay: 0
        channels:
          - type: slack
            channel: "#security-alerts"
          - type: email
            recipients: [security@company.com]

      - level: 2
        delay: 15m
        condition: not_acknowledged
        channels:
          - type: pagerduty
            service_key: ${PAGERDUTY_KEY}
          - type: slack
            channel: "#security-urgent"
            mention: "@security-lead"

      - level: 3
        delay: 30m
        condition: not_resolved
        channels:
          - type: pagerduty
            service_key: ${PAGERDUTY_EXEC_KEY}
          - type: email
            recipients: [ciso@company.com]

    auto_resolve:
      enabled: true
      after: 24h
      notify: true

Alert Management

Manage alerts through the dashboard, CLI, or API. View history, acknowledge incidents, and analyze alert patterns.

# List recent alerts
dbaudit alerts list --last 24h

# Filter by severity
dbaudit alerts list --severity critical,high

# Acknowledge an alert
dbaudit alerts ack --id alert_12345 --comment "Investigating"

# Resolve an alert
dbaudit alerts resolve --id alert_12345 --comment "False positive - excluded user"

# View alert statistics
dbaudit alerts stats --last 7d --group-by severity

# Test alert configuration
dbaudit alerts test --config alerts.yaml --dry-run