False Positive Management

False positive management allows analysts to suppress known benign alerts so they no longer surface in future detections. This reduces noise and lets the team focus on genuine threats.

RhythmX provides three approaches to false positive management: manual marking from the investigation workflow, frequent alert review for bulk triage, and AI-powered suggestions that automatically identify likely false positives.

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Navigating to False Positive Management

From the Security Control Center

To access the False Positive Management console, navigate back to the Security Control Center by clicking the Control Center button in the top navigation bar from any page.

The Security Control Center displays all available modules. Locate the False Positives widget in the top row.

Click Manage FPs to open the False Positives Management page.

From the Investigation Workflow

You can also mark individual alerts as false positives directly from the Alert Detail Panel during an investigation — see Marking an Alert as False Positive below.

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False Positives Management Console

The False Positives Management page has three tabs:

Tab	Purpose
False Positive Rules	View and manage all existing false positive rules
Frequent Alerts	Review the most frequently firing alerts for bulk false positive triage
FP Suggestions	AI-generated false positive recommendations based on pattern analysis

False Positive Rules Tab

The default view shows all false positive rules with summary KPIs at the top:

KPI	Description
Total Rules	Total number of false positive rules created across all analysts
Active Rules	Rules currently suppressing alerts
Expired Rules	Rules that have passed their expiration date and are no longer active
Total Matches	Number of alerts that have been suppressed by active rules

Below the KPIs, a search bar allows filtering rules by title, computer name, user, or ID. The rule table shows:

Column	Description
Rule Name	Descriptive name of the false positive rule
Created By	The analyst who created the rule
Created	Date the rule was created
Expires	Expiration date — rules with "No expiration" remain active indefinitely
Matches	Number of alerts suppressed by this rule
Status	Active or Expired
Actions	View details, edit, or delete the rule

Viewing Rule Details

Click on any rule to open the False Positive Rule Details panel. The top section shows:

Section	What It Contains
Rule Information	Rule ID, name, creator, creation date, expiration date, and match count
Status	Toggle between Active and Disable to enable or disable the rule without deleting it
Selected Fields	The metadata fields used for matching (e.g., Alert Title/Name, User ID)
Rule Match Criteria	The exact values being matched — for example, Alert Title = "Suspicious Tasklist Discovery Command" and User ID = "system"

Scrolling down reveals:

Section	What It Contains
Notes	The analyst's justification for marking this as a false positive, including alert details, computer, user, detection time, description, and MITRE ATT&CK mapping
Extend Expiration	Extend the rule's expiration period (e.g., 30 days / 1 month) with optional notes explaining the extension
Danger Zone	Permanently Delete Rule — removes the rule entirely from the database. This action cannot be undone

Deleting Matching Alerts

When cleaning up alerts that match a false positive rule, RhythmX shows a Delete Matching Alerts view with:

• Rule reference — Which false positive rule is being applied
• Warning — Important notices about the scope of deletion (e.g., if entity_name is not set, deletion applies to ALL entities)
• Impact Summary — Exactly how many alerts will be permanently deleted
• Sample Alerts — A preview of the matching alerts with full details so you can verify before deleting

Each sample alert shows every available field — Title, Computer Name, User ID, Target User Name, Entity Name, Command Line, Rule Level, Tactics, Techniques, Description, Count, First Seen, Last Seen, Image Path, ML Description, Parent Command Line, Provider Name, and Risk score.

Review the sample alerts carefully, then click Delete Alerts to proceed or Cancel to abort.

Permanently Deleting a Rule

Clicking Permanently Delete Rule in the Danger Zone triggers a confirmation dialog. This action:

• Removes the false positive rule completely from the database
• Cannot be undone — the rule must be recreated manually if needed
• Does not restore previously suppressed alerts

Click Permanently Delete to confirm, or Cancel to keep the rule.

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Frequent Alerts

The Frequent Alerts tab surfaces alerts that are firing most often across the environment. These are prime candidates for false positive review because high-frequency alerts are more likely to be benign, expected behavior.

The table shows:

Column	Description
Alert Title	The Sigma rule name generating frequent alerts
Computer Name	The system where the alerts are firing
Entity	The LogRhythm entity associated with the alerts
User	The user account triggering the alerts
Total Alerts	How many times this alert has fired — higher counts indicate noisier rules
First Seen	When this alert pattern first appeared
Last Seen	Most recent occurrence
Actions	View details or click Mark FP to create a false positive rule directly

Use the search bar to filter by alert title and the Filters dropdown to scope by entity. The Refresh button updates the list with the latest data.

Clicking Mark FP on any row opens the same Mark as False Positive dialog described below, pre-populated with the alert's details.

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FP Suggestions (AI-Powered)

The FP Suggestions tab uses AI to automatically identify alerts that are likely false positives based on pattern analysis, frequency, and contextual signals. This dramatically reduces the manual effort required to tune detection rules.

Confidence Tiers

Suggestions are grouped into three confidence levels:

Tier	Confidence	Meaning	Recommended Action
High Confidence (90%+)	Green	Strong signals indicate this is a false positive — safe to approve	Approve directly
Medium Confidence (60–89%)	Yellow	Likely a false positive, but review is recommended before approving	Review details, then approve or reject
Low Confidence (<60%)	Red	Uncertain — manual review required before making a decision	Investigate thoroughly before deciding

Each tier shows the number of suggestions and the estimated alerts/month that would be suppressed if approved.

A banner at the top shows the potential noise reduction — the total number of alerts per month that could be eliminated by approving all suggestions.

Suggestion Table

Each suggestion row shows:

Column	Description
Alert Title	The Sigma rule being suggested for suppression
Confidence	Percentage-based confidence score with color coding
Method	How the suggestion was generated (e.g., Signed = digitally signed binary, High Freq = high frequency pattern)
Count	Number of matching alert occurrences
Computer	The system associated with this suggestion
Actions	Details to review, Approve to activate as a false positive rule, or Reject to dismiss

Use the filter buttons (All, High, Medium, Low) to focus on a specific confidence tier, and the time range dropdown to adjust the analysis window.

Reviewing a Suggestion

Click Details on any suggestion to see the full analysis:

Section	What It Shows
Confidence Score	Large percentage display with confidence tier label (e.g., "95% Confidence — High confidence - Safe to approve")
Detection Methods Used	How the AI determined this is a false positive — e.g., Trusted Vendor (digitally signed by Microsoft/Google/Adobe)
Computer & User	The specific system and user account associated with the suggestion
Occurrence Count	How many times this alert has fired
Why this was suggested	Detailed explanation — e.g., "Signed by Microsoft Corporation, SHA256: BAEE05CEA..., count: 51"
Raw Event Data	Expandable section showing the original log event for manual verification

After reviewing, choose:

• Approve & Activate — Creates a false positive rule and immediately begins suppressing matching alerts
• Reject Suggestion — Dismisses the suggestion without creating a rule
• Cancel — Returns to the suggestions list without taking action

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Marking an Alert as False Positive

False positive rules can also be created directly from the investigation workflow without navigating to the False Positives Management console.

Step 1: Identify the Alert

From the Security Timeline Analysis view, click on an alert card to expand the Event Details table. Select an event row to open the Alert Detail Panel.

In the Alert Detail Panel, review the Risk Assessment, Alert Overview, and ML Analysis to confirm this is a false positive. Then click the Mark FP button in the Alert Overview section.

Step 2: Configure the False Positive Rule

The Mark as False Positive dialog opens with the following fields:

Field	Description
Event Information	Pre-populated summary showing the alert title, Event ID, Computer, and User — confirms which alert you are suppressing
Created By	The analyst creating this false positive rule
False Positive Rule Name	A descriptive name for the rule. Auto-generated from the alert title, computer, and user — editable to add context (e.g., "Scheduled maintenance task on jumpserver")
Notes	Free-text field for documenting why this is a false positive. Include justification so other analysts understand the reasoning
Expiration Period	How long the false positive rule remains active. Default is 1 year. After expiration, the alert will surface again for re-evaluation

Step 3: Select Matching Fields

The Available Metadata Fields section controls how broadly the false positive rule applies. Toggle the fields that should be used to match future events:

Field	Value Example	When to Include
Image	c:\windows\system32\tasklist.exe	Include when the specific executable is known-good
Command Line	tasklist	Include to match the exact command-line arguments
Target User Name	(unknown)	Include to scope the rule to a specific target user
Task	Process Create (rule: ProcessCreate)	Include to match a specific event type
Techniques	T1057	Include to suppress a specific MITRE ATT&CK technique for this context
Alert Title/Name	Suspicious Tasklist Discovery Command	Include to match the specific Sigma rule by name
Unique Hash	Hash value	Include to match the exact process hash — most specific matching
User Id	system	Include to scope the rule to a specific originating user

Maximum 4 fields can be selected per false positive rule. This limit ensures rules remain specific enough to avoid accidentally suppressing true positives.

Matching Strategy

The fields you select determine the scope of the false positive rule:

Strategy	Fields Selected	Effect
Broad	Alert Title only	Suppresses this Sigma rule for all users and systems — use with caution
Moderate	Alert Title + User Id	Suppresses this rule only when triggered by a specific user
Specific	Alert Title + Image + Command Line	Suppresses only when the exact executable and command match
Most Specific	Alert Title + Unique Hash + User Id + Image	Suppresses only the exact combination — safest approach

Click Mark as False Positive to save the rule, or Cancel to return to the investigation.

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Best Practices

Practice	Why
Start with FP Suggestions	Let the AI do the heavy lifting — review and approve high-confidence suggestions first to quickly reduce noise
Use Frequent Alerts for bulk triage	Alerts firing thousands of times are almost always false positives — review the Frequent Alerts tab regularly
Always add notes	Document the reasoning so other analysts and auditors understand why the alert was suppressed
Use specific matching fields	Select 2–4 fields to avoid broad suppression. A rule matching only the alert title could hide real attacks
Set appropriate expiration	Use shorter expiration periods for temporary situations (e.g., maintenance windows). Re-evaluate expired rules to confirm they are still valid
Review before marking	Check the ML analysis and risk assessment first — an ML-flagged alert with a high risk score warrants deeper investigation before suppression
Coordinate with the team	If a rule is noisy across multiple entities, consider tuning or disabling the Sigma rule in the Rule Center instead of creating multiple false positive rules