Thwarting Insider Threats at the Storage Layer
The most dangerous threats often come from inside the perimeter — trusted users with legitimate access. BrickStor SP detects and stops insider threats in real time by monitoring every file operation with behavioral analytics built directly into the storage platform.
Watch BrickStor SP detect data theft in the act
A recorded demo of BrickStor SP's User Behavior Analytics surfacing a compromised account exfiltrating files — and the policy enforcement that stops it.
The threat that perimeter defenses cannot stop
Firewalls, EDR, and network monitoring are built to detect external attackers. Insider threats are different — the user has legitimate credentials, is already inside the perimeter, and uses the same tools and access paths as any other employee.
The only place to reliably detect an insider threat is where the data lives — at the storage layer, where every file access leaves an unambiguous record.
The insider threat spectrum
The Malicious Insider
A trusted employee, contractor, or partner deliberately exfiltrates sensitive data — intellectual property, client records, financial data — for personal gain, competitive advantage, or nation-state tasking.
The Departing Employee
An employee preparing to leave — or who has already resigned — systematically copies sensitive files, customer lists, or proprietary data to take to a competitor or new employer.
The Compromised Account
A legitimate user account is taken over through phishing, credential theft, or social engineering. The attacker uses the trusted identity to access and exfiltrate data without triggering perimeter defenses.
The Negligent Insider
An employee accidentally exposes or destroys sensitive data through misconfiguration, mass deletion, or unintentional over-sharing — causing damage without malicious intent.
From behavioral baseline to real-time response
Behavioral Baseline Established
BrickStor SP learns each user's normal file access patterns — which shares they access, when, how much data, at what cadence — establishing an individual behavioral baseline.
Continuous Real-Time Monitoring
Every file operation is inspected with full context: user identity, source IP, file path, operation type, data volume, and timing. No sampling. No batch processing.
Anomaly Detection
AI-driven analytics compare live behavior against baselines and known insider threat patterns — bulk downloads, after-hours access, lateral movement to new shares, and abnormal deletion activity.
Real-Time Response
When anomalous behavior crosses a confidence threshold, BrickStor SP can alert the security team, suspend the session, snapshot affected data, and preserve forensic evidence — all in real time.
Forensic Evidence for Investigation
Every event is recorded immutably with full operational context — what was accessed, by whom, from where, and when. This evidence supports HR investigations, legal proceedings, and regulatory disclosures.
What BrickStor SP detects
Bulk Data Staging
Detects unusual volume spikes — a user copying far more data than their baseline in an atypical time window.
After-Hours Access
Flags access to sensitive shares at unusual times, especially when combined with other anomalous behaviors.
Lateral Movement
Identifies users suddenly accessing shares or directories outside their normal access pattern.
Mass Deletion
Detects bulk deletion of files — whether intentional sabotage or covering tracks after an exfiltration.
Credential Anomalies
Identifies access patterns that deviate from a legitimate user's established behavior, suggesting credential compromise.
Sensitive File Access
Monitors access to classified or high-value data repositories, alerting when access deviates from established patterns.
Why storage-layer detection is uniquely effective
Frequently asked questions
- DLP focuses on preventing data leaving the organization (email, USB, cloud uploads). UEBA correlates logs from multiple sources to build behavioral profiles. BrickStor SP monitors at the storage layer itself — every file operation with full context — catching threats that bypass endpoints and network controls, and generating immutable evidence that cannot be tampered with.
- Yes. Because BrickStor SP baselines each user's normal file access behavior, it detects when a legitimate account is being used in ways that deviate from that user's established patterns — a key indicator of credential compromise, even when the attacker is remote.
- Yes. BrickStor SP sends alerts and telemetry to SIEM platforms, enabling correlation with other security signals and automated response workflows through SOAR integration.
- Every file operation is logged immutably with full context — user, IP, timestamp, file path, operation, and data volume. These logs cannot be modified or deleted, making them reliable forensic evidence for HR investigations, legal proceedings, and regulatory disclosures.
- BrickStor SP can do both. It can generate alerts for human review, and it can also automatically suspend sessions and isolate users when anomalous behavior is detected with sufficient confidence — stopping data exfiltration or destruction before it completes.
- No. Insider threat detection is built into BrickStor SP as part of Active Defense. It requires no additional agents on endpoints, no additional licenses, and no separate infrastructure.
Could you detect — and recover from — a credentialed insider?
Take the free Assured Cyber Recovery Readiness Assessment — 32 questions covering behavioral threat detection, UEBA, data-exfiltration resilience, and recovery operations. Get a scored report and prioritized recommendations in about five minutes.
Take the Assessment →Detect Insider Threats Before Data Leaves the Building
BrickStor SP monitors every file operation in real time, detecting anomalous behavior and stopping insider threats at the storage layer — with immutable forensic evidence for every investigation.