Frequently Asked Questions

73% of Salesforce data loss comes from internal incidents — not outages or cyberattacks. This guide breaks down the four layers enterprise IT teams need to stop user error before it happens: access controls that limit what users can do, governance that defines how data should be handled, auditing that catches problems early, and recovery infrastructure that limits damage when prevention fails. Get the specific practices for each layer, from least-privilege permissions to five

Enterprise AI projects fail at the data layer — not because of the model, not because of the algorithm, but because the pipelines feeding the model were never governed. Duplicate records, missing fields, and undocumented transformations flow downstream and corrupt training data before a single prediction runs. This guide covers the six steps enterprise IT teams use to build AI-ready datasets with quality controls, governance, and pipeline architecture that holds up under regu

Most Salesforce backup strategies fail at the moment that matters most — recovery. When a mass deletion, corrupted integration sync, or bad deployment hits your org, the real question isn't whether you backed up. It's whether you can recover the right records, in the right relationships, fast enough to keep your business running. This guide helps IT directors and database administrators design granular Salesforce restore workflows, automate disaster recovery processes, and in

Most organizations treat Salesforce backup as a checkbox — and that's where the risk lives. Salesforce does not back up your data. Native retention tools and the recycle bin aren't a recovery strategy. Protection against data corruption, failed deployments, or mass deletions is entirely the customer's responsibility. Sesame Software helps enterprises close that gap: automated backups every 5 minutes, point-in-time restore, and full metadata preservation — so when something

See the six-step framework regulated organizations use to evaluate Salesforce backup and recovery software, from restore granularity to audit-ready compliance.

Most Salesforce data leakage events don't come from hackers — they come from inside your own org. This guide breaks down where the real risks hide, what a complete data leakage protection strategy looks like, and what most teams are missing before it's too late.

Salesforce doesn't back up your data — and most IT teams don't realize it until something goes wrong. This guide walks you through everything you need to know to choose the right backup and recovery solution for your organization.

Preparing enterprise data for AI inside your own stack means running every pipeline stage on infrastructure you control. This guide provides the step-by-step framework for IT teams with compliance and sovereignty requirements.

Choosing self-hosted data storage in 2026 requires evaluating five factors in sequence: data sovereignty requirements, deployment model fit, source and target connector coverage, vendor independence, and long-term cost structure.

Most organizations don't wake up one morning and decide their dashboards are unreliable or their metrics don't line up. Those problems usually expose something deeper: fragmented data, systems drifting out of sync, and teams running manual exports as workarounds — quietly accumulating risk.

A four-pillar framework and scorecard for assessing vendor lock-in risk on a data platform before you sign or renew a contract.

Data sovereignty in 2026 has moved from a compliance consideration to a board-level strategic requirement. Here is the complete guide for enterprise IT teams navigating jurisdiction control, regulatory compliance, and self-hosted data management architecture.

Self-hosted data infrastructure places enterprise data pipelines, storage, and processing on infrastructure the organization controls directly, rather than routing data through a vendor's cloud servers. For enterprise IT teams operating under strict data governance requirements, self-hosted deployme

In today’s digital age, data is invaluable but it’s also one of the biggest liabilities a company can hold. Headlines are filled with stories of data breaches exposing sensitive information and costing businesses billions. At Sesame Software, we’ve chosen a different path: we don’t keep your data or your customers’ data.

In the ever-evolving landscape of cyber threats, unauthorized access remains a significant concern for organizations of all sizes. As a leading provider of data management solutions, Sesame Software is committed to empowering businesses to safeguard their systems against unauthorized intrusions. Below, we explore the ins and outs of unauthorized access, its risks, and actionable best practices.

Customer-hosted data architecture keeps enterprise data within the organization's own environment rather than routing it through a vendor's servers. IT teams retain full control over where data resides, who can access it, and how long it stays. For compliance-driven organizations operating under HIP

What native Salesforce audit trail tools actually track, why they fall short for SOX, HIPAA, and GDPR reviews, and how to build real audit evidence.

Evaluating self-hosted backup for data residency requires a different framework than standard backup evaluation. Here is the seven-step process for enterprise IT teams assessing bring-your-own storage models for compliance and vendor independence.

Many organizations invest in DLP tools expecting complete protection for their most sensitive data. Over time, they often discover gaps—especially when data is deleted, corrupted, or lost. These incidents don’t always come from malicious attacks. They frequently result from system failures, human error, misconfigurations, or the complexity of modern data environments.

Many organizations invest in DLP tools expecting complete protection for their most sensitive data. Over time, they often discover gaps—especially when data is deleted, corrupted, or lost. These incidents don’t always come from malicious attacks. They frequently result from system failures, human error, misconfigurations, or the complexity of modern data environments.