Don’t Let an Ass Jack Your SaaS: Understanding Salesforce Data Threat Profiles


Don’t Let an Ass Jack Your SaaS

These characters are the reason why over 75% of businesses that use SaaS applications like Salesforce suffer a data loss incident each year.

The Smartasses

Intentionally mess with your Salesforce data, costing you time and money.

the malicious insider mugboard - malicious insider
the hacker mugboard - hacker
the merchant mugboard - merchant

Hugh Jass

Aliases:

  • The Bad Burro

Crimes: Deletes, modifies and corrupts data for personal gain, retribution, or just to cause damage.

Involved in almost 25% of all electronic crime events.

Hattie “Hack” Astor

Aliases:

  • The Moscow Mule

Crimes: Spreads viruses, malware and ransomware. Launches phishing attacks to steal credentials and take over accounts.

Steals IP, perpetrates business email compromise, drains financial accounts and commits other types of cyber fraud.

Cyrus “Cy” Burnett

Aliases:

  • The Darkweb Donkey

Crimes: Sells your users’ credentials on the Dark Web.

Bankrolls hackers and enables the success of lucrative Account Takeover (ATO) attacks.

The Dumbasses

Unknowingly mess with your Salesforce data, resulting in expensive consequences.

the lazy programmer mugboard - the lazy programmer
the junior admin mugboard - the junior admin
the clueless user mugboard - the clueless user

Ike Kant-Codewell

Aliases:

  • The Lazy Ass

Specialty: Writes apps and scripts that cause sync errors.

Architects software that does not meet Salesforce’s criteria for listing on AppExchange.

Barry Badadmon

Aliases:

  • The Boss’ Nephew

Crimes: Accidentally deletes user accounts and team document stores.

Incorrectly configures policies and writes bad scripts that result in data deletion.

Dawn Keigh-Hotay

Aliases:

  • The Partay Donkay

Crimes: Constantly “loses” emails and files and needs IT help to “find” them. Clicks on suspicious links, downloads questionable files, and uses their work email on all kinds of websites.

Everyday human errors account for up to 64% of data loss incidents.

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