AI-powered real-time alerts for audit trail anomalies.
Enterprise compliance teams waste hours manually managing audit trails because regtech tools lack robust real-time tracking features.
TrailPulse monitors regtech audit streams with AI to detect anomalies like unusual access patterns instantly. It sends contextual alerts to teams via email/Slack, preventing compliance gaps before audits. Teams save manual review time by prioritizing high-risk events with auto-generated summaries.
Enterprise compliance teams in regulated industries using regtech solutions
AI anomaly detection tailored to compliance patterns, not generic monitoring.
professional
ML models flag unusual audit events in real-time.
Custom rules for anomaly thresholds.
Email, Slack, MS Teams integration.
Prioritized view of flagged events.
AI assigns severity scores to anomalies.
NLP-generated event explanations.
Weekly anomaly reports.
Annotate and resolve alerts collaboratively.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| org_id | uuid | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| anomaly_score | int | No |
| event_data | jsonb | No |
| status | text | No |
| timestamp | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| threshold | int | No |
| channels | text[] | No |
Relationships:
/api/alertsList alerts for org.
/api/rulesCreate/update alert rules.
/api/webhookIngest audit events, run AI detection.
/api/alerts/:id/resolveMark alert as resolved.
500 events/month
5k events/month
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 4% | $64 | $768 |
| Month 6 | 400 | 7% | $560 | $6,720 |
AI alerts on audit anomalies from your regtech tools.
DM compliance leads on LinkedIn using regtech like Drata/Vanta, offer free anomaly scan of their recent logs, convert via demo of value.
Full framework
No AI real-time alerts
Specialized AI at micro-price
Continuous monitoring
Manual anomaly review
Proactive AI notifications
Improving AI models with user-submitted anomaly data.
AI maturity + stricter regs demand predictive compliance.
AI false positives overwhelm users
Tunable rules + feedback loop
AI dev time overruns
Start with rule-based, layer AI
Teams ignore alerts
Onboarding tutorials
Success: 80% interested
Success: 3 teams active
Success: 5% conv
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