Sensitive Data Access Monitor
Continuously audit data access, flag anomalous patterns — bulk exports, privilege escalations, unusual access times — investigate with context enrichment, and generate SOX-ready audit reports. All automated.
Insider threats don't announce themselves — they hide in access patterns
Every data breach in financial services starts the same way: someone accesses data they shouldn't — or accesses data they can, but in a way that's abnormal. A bulk export at 2 AM. A privilege escalation request that bypasses the normal approval chain. An employee in settlements suddenly querying the trading database. The signals are there. But with millions of access events per day, no human team can catch them.
Most DLP tools focus on the perimeter — what's leaving the organization. By the time they alert, the data is already gone. What you need is behavioral analysis at the access layer: who is accessing what, when, how much, and does it match their normal pattern?
The data to detect anomalies already exists in your identity, SIEM, and access logs. The problem is correlating it in real time and investigating fast enough to act before data leaves. That's exactly what this flow was built to do.
From access event to investigated — automatically
Access Monitoring
SectorFlow continuously ingests access logs from identity providers, databases, file shares, and SaaS applications. Every access event — login, query, export, permission change — is captured and normalized into a unified timeline.
Anomaly Detection
The AI compares each user's current activity against their behavioral baseline. Bulk exports, access outside normal hours, queries to unfamiliar data sets, privilege escalations, and geographic anomalies are all flagged in real time — not after a weekly report.
Context Enrichment
Every flagged anomaly is enriched with context: the user's role and department, recent HR events (termination, transfer, PIP), manager info, device and location data, and what data was accessed. An anomaly with context is an anomaly you can actually assess.
Risk Assessment & Action
The AI assigns a risk score based on severity, data sensitivity, user risk profile, and enrichment context. High-risk events trigger immediate actions — session suspension, manager notification, access revocation — while medium-risk events are queued for review with full context packages.
Investigation & Resolution
Security analysts receive a complete investigation package — timeline, context, risk score, and recommended actions. Every step is logged for SOX compliance. Resolution actions, analyst notes, and outcomes feed back into the behavioral model, improving detection accuracy over time.
This isn't a log viewer — it's an access intelligence engine
Every capability your security team needs to catch anomalous access before data leaves, built in from day one.
Behavioral Baselining
Builds a behavioral profile for every user — normal access times, data sets, query volumes, export patterns — and flags deviations in real time.
Bulk Export Detection
Detects unusual data export volumes — whether it's a database dump, mass file download, or API extraction — and alerts before the data leaves your perimeter.
Privilege Escalation Alerts
Monitors permission changes, role assignments, and access grants. Flags escalations that bypass approval workflows or grant access to sensitive data outside normal patterns.
DLP Integration
Integrates with your existing DLP tools to correlate access-layer anomalies with data movement signals — creating a unified view from access to exfiltration attempt.
Manager Notification
Automatically notifies the user's manager when high-risk access anomalies are detected — with context, not just an alert — so they can confirm or escalate immediately.
SOX Audit Reports
Every detection, investigation, and resolution is logged with full audit trail. Generate SOX-ready reports on demand — no manual evidence gathering required.
Connects to the systems you already run
Okta
Splunk
ServiceNow
Don't see your identity or SIEM platform? We integrate with any system via API. Talk to us.
What security teams are seeing
Avg. investigation time
Anomaly detection sensitivity
Data breaches during pilot
Based on pilot deployments. Your results will depend on data volume, access patterns, and system configuration.
"We caught a departing employee exporting 14,000 client records at 11 PM on a Friday — 40 minutes before they would have emailed it to a personal account. Our old DLP tool wouldn't have flagged it until Monday. The behavioral baseline detected the anomaly, the AI built the investigation package, and our team had it contained in under 30 minutes. That single catch justified the entire investment."
— CISO, Mid-Market Investment Bank
Frequently Asked Questions
See What Real-Time Access Monitoring Looks Like for Your Organization
Book a 30-minute discovery call. We'll walk through the Sensitive Data Access Monitor flow with your access patterns and your compliance requirements.
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