Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As you work in NetSuite and evolve your account over time, you’re going to accumulate some baggage. Typically, this baggage will come in two forms: ‘dirty’ data housed in the system, and obsolete metadata (system customizations), aka technical debt. Though these are two separate issues, they’re closely related — getting rid of technical debt will make your NetSuite account easier to use, which will improve the overall quality of the data within it.

On June 12th, Salesforce announced ‘AI Cloud,’ which aims to embed generative AI capabilities throughout their market leading CRM tool in an effort to enhance productivity for all Salesforce CRM users. The announcement features eight different sections: Sales GPT, Marketing GPT, Slack GPT, Flow GPT, Service GPT, Commerce GPT, Tableau GPT, Apex GPT.

Every sales and marketing interaction — regardless of where it happens — generates data. Every note written on a salesperson’s computer and every contract or presentation that is uploaded into a CRM system produces valuable signals sales teams use to secure leads and close deals.

As with most SaaS applications, within Salesforce it is your organization’s responsibility to determine whether Salesforce’s default security settings meet your specific security and compliance obligations. Read this online guide, for free, to learn about the problem of data exposure in Salesforce and how to ensure compliance with HIPAA, PCI, and other leading industry standards while storing sensitive data in Salesforce.

By design, Salesforce is an environment where customer PII and other sensitive information must be shared and stored. However, compliance regulations like PCI DSS, HIPAA, GDPR, CCPA, and others limit this storage and usage of customer data to only what’s justifiably required for an organization to carry out its duties. Even then, there are requirements for how this data should be stored – like whether it should be encrypted, for example.