Threat Detections
Overview
This section covers the operational use of the Threat Detections page — how to interpret events, how to work through the triage workflow for each severity level, how to recover data when a real attack is confirmed, and how the system learns from your feedback to improve over time.
For configuration of detection thresholds, enforcement modes, and detector settings, see Threat Detection and Severity Settings.
Navigate to Data Security → Threat Detections in the left sidebar.
The page has two tabs, Active and History. Each lists events with the following columns: Severity, State, User/Client IPs, Device, Threat Category, Similarity Score, Event ID, and Time Detected. Severity, State, Device, Threat Category, Time, and Show filters narrow the list.
By default, the Show filter excludes two categories of event from the Active list: events in Threat Assessment state (see Event states in the new UI), and events raised by Security Guard. Enable Show → Events in Assessment or Show → Security Guard to include them.
Security event terminology
Understanding the language used throughout the interface is essential for effective triage.
| Term | Definition |
|---|---|
| File Event | A discrete event published by PowerScale's audit stream based on a user action — for example: open file, close file, write, rename. Each file event is a single data point. |
| Signal | A group of file events that has been flagged by one or more threat detectors as a potential ransomware-related pattern. A Signal is the unit of detection. |
| Signal Strength | For a given event, the combined score of all Signals raised during its lifetime. A higher Signal Strength means more detectors fired more frequently. Displayed as a number and a bar in the event list and detail panel. |
| Threat Detection (also Security Event, informally; formerly Ransomware Event) | A collection of Signals whose combined Signal Strength has crossed the configured Warning threshold for a given user. Once an event exists, it accumulates Signals and escalates severity as Signal Strength grows. |
| Threat Category | The specific detector(s) that fired — for example: Data Encryption, Suspicious Extension, Honeypot Activity. Multiple categories can appear on a single event. |
| Similarity Score | The Application Fingerprinting (AFP) score for the event — how closely its behavior resembles a known-safe application pattern AFP has already learned, compared against the configured appFingerprintingTailThreshold (default 0.7). See Application Fingerprinting. Reads N/A for events raised before the 2.14 release, when fingerprinting was introduced. |
| Impacted Items | The number of files associated with the event detection across all signals. |
| Client IP | The IP address of the user's machine at the time of the suspicious activity. |
What's on this page
This section is split across the following subpages:
Triage workflow by severity
Warning events
State: Monitor
Automated response: None. A countdown timer begins. The event auto-closes if no further suspicious activity occurs.
How to respond:
- Open the event. Review the threat categories, Signal Strength breakdown, and top file operations in the slide-out panel.
- Click Investigate & Recover and review the Items & Recovery and Activity Log tabs.
- Decide:
- Legitimate activity: Let the event auto-close, or close it immediately as False Positive with the appropriate learning scope.
- Suspicious: Use Take an Action → Lockout Now to immediately revoke access — you do not have to wait for the event to escalate to Major.
- Uncertain: Use Take an Action → Acknowledge to prevent auto-close and signal to teammates that the event is under review.
The file list in the detail panel is a sample. For a comprehensive file list, use the CSV download in Items & Recovery, or run a user activity query in Data Auditing → Queries & Reports. The downloaded file is named
recovery-items-<timestamp>.csv(for example,recovery-items-1783716244867.csv).
Major events
State: Delayed Lockout
Automated response: Lockout countdown timer begins.
How to respond:
- Open the event immediately. Note the remaining time on the countdown timer.
- Review Items & Recovery and Assets tabs on the Investigate & Recover page.
- Contact the user or their manager to check whether the activity has a legitimate explanation.
- Before the timer expires:
- Benign: Stop Lockout Timer → investigate further → close as False Positive or Unexpected but Not a Threat.
- Malicious or unclear: Lockout Now to apply the lockout immediately.
- If the timer expires before you act, the lockout applies automatically. Continue from there as a Critical event.
Critical events
State: Lockout
Automated response: Immediate access revocation. Snapshots taken.
How to respond:
- The user is already locked out. Do not restore access until investigation is complete.
- Work through all four tabs on the Investigate & Recover page:
- Items & Recovery: Identify affected files, assess recoverability, and initiate recovery if needed.
- Snapshots: Verify snapshot creation and identify any gaps.
- Assets: Confirm the DENY permission is applied to all expected shares.
- Activity Log: Review the full event timeline.
- If you confirm this is a real attack, use Recovery to restore affected data before returning user access.
- Complete your incident response process — scan the user's machine, collect evidence, escalate as required.
- When ready to restore access: Take an Action → Restore User Access. Monitor the job in the Jobs sidebar section. Verify in Assets tab that DENY entries have been removed.
- Close the event as Close as Threat using the Close Event wizard.
Learning mode explained
"Learning mode" is not a single toggle — it is the combination of several mechanisms that work together to reduce false positives over time as the system accumulates feedback from your classifications.
Event-driven learning (Learned Thresholds): Closing an event as False Positive with a learning scope creates or updates a threshold multiplier in the Learned Thresholds tab. The specific detector is harder to trigger for that user, path, or group going forward.
Application Fingerprinting (automated learning): AFP continuously builds a database of known safe behavioral patterns from events you classify as False Positive. When a new event matches a known pattern above the confidence threshold, AFP suppresses it automatically before it reaches the Active Events list.
Auto-Learn From Events toggle: The Auto-Learn From Events toggle in Detection Controls → Settings → Response Settings controls whether event closures automatically update Learned Thresholds. Enabled by default.
For new deployments: Expect a higher false positive rate in the first few weeks while AFP builds its baseline. Accurately classifying events as False Positive as early as possible — particularly uploading historical events to the AFP database — significantly accelerates this process. See Application Fingerprinting — Learning Management.
See also
- Event Processing and Actions Available — Full event lifecycle, the Actions menu, and Retain Snapshots.
- Recovery — Using Recovery Manager to restore affected data.
- Closing Event — The five closing states and the Close Event wizard.
- Security Event States — Full state and available-actions reference.
- Detection Types — Threat detector categories (TD1–TD18).
- Threat Detection and Severity Settings — Detector types, Signal Strength, severity levels, and enforcement modes.
- Threat Response, Lockout and Snapshots — How lockout works, SMB vs NFS, and restore procedures.
- Snapshot Settings — Snapshot budget logic and critical-path configuration.
- Detection Controls and False Positive Management — Active Auditor, AFP, Ignored List, Monitor Only, and Learned Thresholds.
- Data Auditing — Query file system activity for forensic investigation. Use WireTap for live monitoring during an active event.
- Integrations — Configure SIEM/SOAR webhook integration to involve your SecOps team in event analysis.