Key Takeaways
To work effectively, AI systems need access to data — and lots of it. Much of this data contains personal information, ranging from financial transactions and fitness tracker logs to web browsing habits and GPS location history. As new privacy regulations around the use of AI are introduced, this creates a tough balancing act for companies: how do you use this data to innovate while staying compliant? A single mistake with this sensitive information, whether in how it’s collected, handled, or stored, can instantly erode customer trust.
To address these challenges, businesses can adopt a Governance, Risk, and Compliance (GRC) framework. GRC is an integrated approach that empowers organizations to effectively identify, manage, and mitigate operational and regulatory risks. Governance provides the ethical structures and direction for the business, risk management focuses on predicting and addressing potential disruptions, and compliance ensures adherence to relevant laws and industry standards. GRC is important because it shifts an organization’s posture from reacting to problems to proactively preventing them. By adopting GRC practices, businesses can safeguard their financial stability, avoid costly regulatory penalties, and build trust with their stakeholders.
Of course, executing this strategy requires the right technology. Here’s how the products within Salesforce Trusted Services uniquely support your GRC goals:
Data Detect
A critical first step in protecting sensitive information is knowing exactly where it lives. Data Detect provides precise discovery of sensitive data by scanning millions of records at scale to find and classify information such as credit card numbers, email addresses, and Social Security Numbers. By identifying this data, organizations can accurately update their data classification tags and apply additional security measures, such as encryption or transaction security policies, to strengthen compliance.
Platform Encryption
When it comes to risk and confidentiality, storing sensitive information in the cloud requires robust protection. Platform Encryption allows organizations to natively encrypt sensitive data at rest. Importantly, it achieves this high level of security while preserving critical business functionality, ensuring that encrypted data can still be used for essential Salesforce processes such as search and automated workflows.
Event Monitoring
Understanding how users interact with your system is essential for mitigating insider threats and ensuring accountability. Event Monitoring allows organizations to track exactly who, when, and where data is accessed, and to retain this event history for up to 10 years. It goes beyond simple tracking by using machine learning to detect statistical anomalies and threats, enabling administrators to set Transaction Security Policies that automatically block risky user actions and send real-time alerts.
Field Audit Trail
Compliance teams often struggle to reconstruct data changes for long-term litigation or financial reviews because standard field history tracking is highly limited. Field Audit Trail provides high-retention forensic tracking, maintaining an immutable, long-term history of every change made to specific fields for up to 10 years. This provides global investigators and regulators with a clear, reliable paper trail, enabling organizations to easily satisfy complex industry standards such as SOX and HIPAA by proving exactly who changed what and when.
Security Center
As organizations grow, managing security across multiple environments can become fragmented. Security Center solves this by providing a single view for managing AI security controls, monitoring user access, and tracking the overall security posture of your orgs. This single-pane visibility helps administrators quickly identify and remediate vulnerabilities, such as over-permissioned users or unauthorized apps, ensuring consistent security policies are enforced across the board.
Privacy Center
A critical pillar of governance is data minimization — collecting and retaining only what is necessary. Privacy Center automates end-to-end privacy flows, such as Data Subject Requests (DSRs) and “Right to be Forgotten” (RTBF) requests directly within the platform. By replacing slow, manual deletion tasks with automated workflows, organizations can eliminate the risk of missing regulatory deadlines and seamlessly centralize customer consent management across all touchpoints.
Archive
Excessive inactive data not only hinders system performance but drastically expands an organization’s risk surface. Archive supports GRC by automating logic-driven retention policies to systematically offload inactive records. This lowers the risk of a breach by ensuring you only keep what’s necessary, while still allowing business users to maintain access and restore archived records directly within the context of live production data.
Data Mask & Seed
A major vulnerability for many organizations occurs when developers use raw production data for testing, leaving customer Personally Identifiable Information (PII) exposed. Data Mask & Seed solves this by de-identifying sensitive data in sandboxes using sophisticated masking patterns. This capability ensures that development teams have the realistic, synthetic data they need to accelerate development cycles safely, without compromising customer privacy or violating compliance standards.
Backup & Recover
Data integrity and availability are non-negotiable aspects of any risk management strategy. Standard data exports are often too infrequent, leading to unacceptable business downtime during a data loss event. Backup & Recover captures comprehensive, automated, and frequent backups of your data, metadata, and files to meet strict recovery time objectives. Furthermore, it can utilize blockchain technology to verify records, providing internal and external auditors with the “gold standard” of proof that backup data is an accurate, unaltered version of the truth.
By uniting these Trusted Services under a single platform, Salesforce empowers organizations to transition from reactive security to a proactive model that identifies, mitigates, and audits risk before it can be exploited.
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