Real-time AI query monitoring to block leaks before they happen
Enterprise teams risk internal data leaks due to the absence of fine-grained access controls in AI tools.
LeakSentinel deploys lightweight SDKs to your AI apps, scanning prompts for sensitive data and enforcing granular controls. IT teams get instant dashboards with ML-powered risk scoring and auto-blocks. Perfect for securing custom internal AI workflows without proxies.
Enterprise IT security teams and admins deploying AI tools for internal workflows
SDK-first with ML PII detection, works offline-first unlike cloud proxies
edgy
JS/Python SDK to wrap AI calls with monitoring
ML model scores queries for leak risk (PII, secrets)
Auto-block high-risk or mask sensitive parts
Real-time risk heatmap and alerts
Train on your data patterns
Local enforcement, sync logs later
CSV/PDF compliance reports
Integrate with PagerDuty
Baseline user behavior
| 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 |
| name | text | No |
| org_id | uuid | No |
| public_key | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| risk_score | int | No |
| prompt_hash | text | Yes |
| action | text | No |
| sdk_id | uuid | No |
| user_id | uuid | Yes |
| timestamp | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| patterns | jsonb | No |
| org_id | uuid | No |
| threshold | int | No |
/api/logsIngest SDK logs
/api/rulesUpdate custom rules
/api/sdksProvision SDK key
/api/dashboard/logsQuery logs
Basic scoring
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 180 | 1.2% | $54 | $648 |
| Month 6 | 1,100 | 3% | $825 | $9,900 |
SDK-powered real-time protection with ML smarts for enterprise AI
Share SDK demo on GitHub and r/devops, target indie teams first then enterprise via cold DMs to AI/ML leads. Offer free audits of their repos for leaks. Post in AI Discord communities.
DLP scanning
Not AI runtime-focused
SDK for AI prompts, offline
Search security
No generative AI controls
Runtime SDK for GenAI
ML models trained on anonymized leak data
GenAI prompt injection attacks surging, enterprises need runtime defenses
False positives annoying devs
Tunable thresholds + overrides
High compute for ML
Edge ML
Success: 85% PII recall
Success: 500 stars
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