PantherFlow Quick Reference

Overview of PantherFlow functionality

PantherFlow is in open beta starting with Panther version 1.110, and is available to all customers. Please share any bug reports and feature requests with your Panther support team.

Statements

PantherFlow queries are made up of one or more statements. There are two types of statements:

  • Tabular expression statement: Identifies a data source and can include operators separated by pipes

    panther_logs.public.aws_cloudtrail
    | where accountId != '1234567'
    | summarize Count=agg.count() by eventName
    | extend tooHigh = Count > 100
  • Let statement: Assigns a tabular expression statement to a variable

    let subquery_name = mytable
    | where foo == 'bar';
    
    subquery_name
    | where baz == 'quark'

Operators

Name
Description
Example

<from>

Get data from table

table1

Use provided test data

datatable [{"foo":"bar"}]

Add a new field

T | extend foo=bar

Join with another table

T | join kind:inner dest=(foo) on $left.id == $right.id

Limit the number of rows

T | limit 10

Show only certain fields

T | project foo, bar

Sort

T | sort time

Text search for a value

T | search 'foo'

Aggregate

T | summarize agg.count() by foo

Query multiple tables

T | union table1, table2

Generate chart

T | visualize line

Filter

T | where foo == bar

Data types

Data type
Example acceptable values

1, -1

1.0, -1.0

'foo', "foo"

true, false

2023-06-01, time.parse_date('2023-06-01')

2023-06-01, time.parse_timestamp('2023-06-01 13:14:15.00Z')

15s, 2d, time.parse_timespan('1d')

{key1: value1, key2: value2}, object('key1', 'foo', 'key2', 1)

[A, B, C], array('apple', 'orange')

tableName

columnName

null

Expressions

References

Comparisons

Functions

Aggregations

Date/time

Strings

Arrays

Math

Control flow

Data types

Other

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