Odaseva for Data Security
Secure your Salesforce data at scale - from foundational defense, to AI-era resilience.
50%
By 2028, 50% of organizations will adopt Zero Trust data governance
Gartner, Predicts 2026: AI-Driven, Automated, Zero-Trust Governance
Overview
Security leaders in the enterprise must determine whether a prospective vendor can support Zero Trust architectures, immutable recovery, insider threat controls, full observability, and encryption-in-transit for critical CRM data. These considerations also extend to today’s data security challenges, such as AI governance, agentic AI-readiness, sovereign data strategies, and secure development lifecycle operations.
This is where many vendors’ capabilities begin to fracture: some excel at backup but lack observability, while others offer masking but no scalable governance controls. Many rely heavily on vendor-side visibility into customer environments regardless of the inherent risk, and few are architected for the future of autonomous AI agents operating across enterprise data systems.
The gap matters because the next generation of enterprise risk come from AI systems exposing sensitive data, overprivileged internal users, misconfigured development environments, prompt leakage, unsecured lateral movement through SaaS ecosystems, and incomplete observability over such interactions.
Odaseva solves this by helping enterprises secure CRM at scale, at every step of security maturity, from foundational defense to AI-era resilience.
Achieving Modern Data Security: The Enterprise Journey
- 01
Pick a secure vendor
- 02
Set up Observability
- 03
Secure sensitive data in transit
- 04
Secure sensitive data from internal risks
- 05
Secure sensitive data from AI
The New Standard for Salesforce Data Security: The 5 Step Salesforce Data Security Maturity Framework
1
Select a Secure Vendor
Enterprise-grade security must be architectural (built into the solution’s infrastructure).
Odaseva provides a secure, independent platform trusted by the world's most complex enterprises. With built-in no-view architecture, Odaseva gives organizations the structural integrity and security required even as environments grow increasingly complex. Security features like immutable backups, Bring Your Own Storage (BYOS), and Bring Your Own Key (BYOK) ensure organizations (not vendors) control cryptographic authority and storage environments, while keeping data safe from alteration or deletion.
2
Establish Observability
Enterprise organizations require deep visibility into data access, data movement, configuration changes, and administrative behavior.
Odaseva gives IT teams and security leaders detailed insight into all Salesforce activity, providing granular audit histories of every change across all objects, capturing even complex long-text and multi-select fields. Activities on the Odaseva platform or Data Encryption vault are also audited. Because a data protection platform should not operate in isolation, Odaseva continues to expand integrations with SIEM platforms like Datadog, Splunk, and Dynatrace.
%20Featured%20Image.png)
3
Secure Sensitive Data in-Transit
Many organizations encrypt data at-rest, but far fewer properly secure data in-transit across enterprise systems even though the interconnections keep multiplying as data continuously moves between Salesforce, data lakes, AI agents, and APIs.
By default, data leaves Salesforce in clear text. Odaseva Zero Trust Connect resolves this vulnerability by encrypting data from end-to-end, ensuring that data movement between your Salesforce Org and any connected system never compromises security.
%20Featured%20Image.png)
4
Secure Sensitive Data from Internal Risks
Some of the most severe risks originate internally. This includes overprivileged users, misconfigured sandboxes, third-party contractors, and rogue employees.
Odaseva ensures sensitive data does not appear in clear text to unauthorized users, whether through masking PII or PCI at scale across all types of sandboxes for internal developers or contractors, or by adding an extra layer of access rights for the most sensitive data available on Salesforce.
5
Secure Sensitive Data from AI
The new era of enterprise software is defined by autonomous AI agents communicating with systems, applications, and each other, creating entirely new categories of risk.
Odaseva helps companies accelerate their transition to the agentic enterprise era, enabling safe AI adoption through intelligent masking that redacts protected information in sandboxes while preserving usability. This reduces compliance exposure without slowing innovation. Additionally, AI-agent-caused data changes remain trackable and recoverable, giving organizations a safety net against unintended or malicious agent behavior, before it becomes a costly incident.
Resources
Data Sovereignty
Data Independence
FAQs
What is the three-pronged lifecycle approach to mitigate AI-caused data corruption?
Odaseva's approach addresses AI agent risk across three stages of the data lifecycle:
- Preparation: Governing the identity and "blast radius" of AI agents before they're deployed, limiting the scope of what any single agent can access or affect.
- Detection: Using a ‘single pane of glass’ to surface anomalies in real-time, bridging the gap between raw system logs and forensic reality.
- Remediation: Restore affected data with surgical precision, bypassing manual, human-dependent recovery bottlenecks.
Beyond securing data and Salesforce environments, how does Odaseva help companies embrace the agentic AI revolution?
AI agents need instant, properly-governed access to enterprise data. Odaseva helps organizations move beyond treating historical data as an inaccessible repository, making it readily accessible for agents without compromising governance. Enterprises don't have to choose between locking data down and enabling AI innovation. Odaseva ensures agents can act on accurate, compliant data in real time, turning security infrastructure into an enabler of AI adoption rather than a bottleneck to it.
