SOC Insider Threat Detection & Data Exfiltration Auditing
Separate genuine insider risk from benign work patterns.
Enterprise security operations teams monitor massive volumes of internal telemetry, including file access logs, USB mount events, data loss prevention alerts, and badge system records. Uploading this internal data lets analysts isolate potential insider threats and compromised credentials before critical exfiltration occurs. The platform cleans noisy system headers and calculates complex relational metrics between off-hours logins, bulk download events, and privileged access grants.
Security leads can explore predictive power scores to identify which behavioral anomalies indicate genuine malicious activity rather than an engineer working a weekend release. That delivers deterministic, non-hallucinated alerts a SOC can act on immediately, instead of another queue of low-confidence flags nobody has time to triage.
Data Preparation
Use Steeped AI's data preparation to clean chaotic log headers, normalize timestamp formats, and strip benign network noise across millions of raw security events. A clock that drifts between two collectors should never read as a suspicious access window.
Location Intelligence
Use Steeped AI's location intelligence to enrich VPN and badge records with geography, proxy flags, and ISP detail. An impossible-travel pattern between a badge swipe and a login resolves into an actual map rather than two rows in a table.
Relational Metrics
Steeped AI's automated metric breakouts connect badge swipes, file access permissions, and off-hours VPN connections to surface anomalous behavior patterns. Every meaningful column pair is computed deterministically before an analyst opens the console.
Predictive Power Score
Steeped AI's regression predictive power ranks specific insider activities, such as bulk file access paired with a personal cloud upload, by their predictive strength for actual exfiltration. Alert tuning follows the statistics rather than a vendor default.
Eureka Score
Steeped AI's Eureka Score surfaces unexpected anomalies across department databases, alerting SOC leads to threat vectors nobody was monitoring. The risk you did not think to write a rule for arrives unprompted.
Insight Deeplinks
Click any risk finding to open the layers underneath it with insight discovery deeplinks: the column values, the relational metrics, and the raw events that produced the score. An analyst follows one anomaly into the next before escalating, without rebuilding a query.
The insights are already in your data.
Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.