The Seer
THE BIG PICTURE
6 Tips to Optimize Your Salesforce Data Recovery Plan
6 Hidden Risks Inside AI-Driven Salesforce DevOps Cycles
In 2024, 30.2% of businesses experienced data loss, up from 17.2% in 2023. A well-planned Salesforce data recovery plan gives organizations the tools and guidance they need to quickly return to operations after a data outage and avoid costly downtime.
There are far too many potential sources of data loss to completely guard against all of them. Those who fail to plan for worst-case scenarios are setting themselves up for loss of consumer trust, compliance failures, and massive amounts of lost money.
AI is changing the pace of Salesforce DevOps. User stories move faster. Test cases appear in seconds. Code suggestions arrive before a developer finishes framing the problem. Release teams can summarize pull requests, generate documentation, and surface defects with new speed.
That speed is valuable. It is also deceptive.
The risk is not that AI enters the Salesforce DevOps lifecycle. The risk is that it enters faster than governance, security, and architectural discipline can adapt. According to McKinsey’s 2025 State of AI survey, 88% of organizations use AI in at least one business function, yet only about one-third are scaling AI programs at the enterprise level. Experimentation is easy. Trusted execution is harder.
Industry Pulse
How AutoRABIT + nCino Help Banks Drive Salesforce Digital Transformation
How AI-Driven Change Can Turn Salesforce Technical Debt into Enterprise Risk
Banks looking to streamline processes and increase the value they offer their customers will see huge benefits from combining the power of AutoRABIT and nCino on Salesforce. Banking customers expect state-of-the-art software and mobile capabilities.
Any bank that doesn’t offer these capabilities will fall behind their competition. The financial services industry is among the most frequent targets for cybercriminals. Having a constantly updated data security approach is critical to properly protecting sensitive data.
AI is changing how quickly software teams can move. Developers can generate code, summarize requirements, create test cases, and document changes with less manual effort than ever before.
For Salesforce teams, that speed can support faster innovation and reduce repetitive work. But output is not the same as readiness. Technical debt builds when rushed fixes, undocumented changes, weak tests, inconsistent deployments, or over-permissioned users create long-term maintenance burdens.
AI can help teams create more change across environments that are already difficult to govern, turning small gaps into enterprise-scale risk.
Expert Voices
Salesforce AppSec: A Comprehensive Guide to Key Application Security Acronyms
AutoRABIT Announces Acquisition of Integral Zone to Expand MuleSoft Governance and DevSecOps Visibility
In the realm of application security, many industry experts often refer to acronyms and as a developer, decoding these acronyms is crucial, as they represent key facets of safeguarding your applications.
In this guide, we’ll unravel the top 7 application security acronyms, offering not just their definitions but also insights into how code scanning tools address potential vulnerabilities, along with a glimpse into real-world examples of potential hacks.
Modern Salesforce delivery extends far beyond the platform itself. MuleSoft integrations now sit at the center of how enterprises connect systems, data, and workflows across the business, yet these environments often remain difficult to govern, review, and standardize at scale.
AutoRABIT announced the acquisition of Integral Zone, a MuleSoft-focused solution designed to help organizations improve project quality, reduce manual review effort, and strengthen governance across integration environments.
Together, the companies aim to help enterprise teams gain better visibility, improve consistency, and move faster with greater confidence across Salesforce and the systems connected to it.
Beyond the Buzz
How Do Salesforce Deployment Tools Expedite Release Cycles?
The 3-2-1 Salesforce Backup Strategy Explained
Human error is continuously labeled as the leading cause of data loss. Salesforce deployment tools reduce the potential for human error by automating critical quality and security processes in the DevOps lifecycle.
A streamlined release cycle enables organizations to be more flexible and agile in their responses to software needs. Eliminating errors and automating time-consuming manual processes enable faster delivery of features and updates.
Salesforce is often treated like an always-on system of record. Customer data, revenue workflows, compliance documentation, case histories, partner activity, and operational processes all move through it every day. That makes Salesforce availability important, but availability is not the same as recoverability.
Data can still be deleted. Metadata can still be overwritten. Automations can still break. Integrations can still push bad updates across thousands of records before anyone notices. And when that happens, the question is not whether Salesforce is online. The question is whether the business can quickly restore trusted data and metadata without creating more disruption.
That is where the 3-2-1 backup strategy becomes useful. It gives Salesforce teams a simple framework for reducing recovery risk, strengthening resilience, and making backup planning more than a checkbox exercise.
