Key Takeaways:
- AI Is Expanding Access Faster Than Visibility: AI agents, service accounts, and automation are creating new paths to sensitive data, but identity and data security remain disconnected. Most organizations still can’t answer a basic question: who can reach sensitive data right now? As a result, hidden identities access overexposed data, increasing security, regulatory, and business risk.
- Cyera and Saviynt Close the Identity and Data Risk Gap: Cyera discovers and classifies sensitive data across the enterprise, while Saviynt governs the identities that access it. Together, they connect identity and data intelligence so security teams can see which identities can reach sensitive data, understand why it matters, and prioritize the highest-risk exposures.
- Continuous Risk Reduction and Enforcement at AI Scale: By combining data context with identity governance, organizations can move from static reviews to continuous control. Cyera and Saviynt enable teams to enforce least privilege, automate remediation, and maintain compliance, reducing exposure from weeks to minutes as AI-driven access scales.
The Identity and Data Risk Gap in the Age of AI
AI is changing how systems interact with enterprise data.
People are no longer the only actors. Service accounts run automated workflows. AI agents retrieve documents, analyze records, and take action across systems. Each interaction creates a new path to sensitive data.
Yet most security stacks still treat identity and data separately. One tool governs identities. Another scans for sensitive data. They rarely connect.
That leaves a basic question unanswered: Who can reach sensitive data right now?
Without that context, governance becomes guesswork. An engineer may access a storage bucket, but does it contain customer PII, financial records, or source code? An AI agent may retrieve internal documents, but does that dataset contain regulated data?
According to Cyera’s 2025 State of AI Report, 83% of organizations use AI daily, yet only 13% have strong visibility into how it interacts with enterprise data.
As AI adoption grows, so does the risk of hidden identities accessing sensitive data - leading to overexposed, poorly governed data and increased security, regulatory, and business risk.
Prioritize Identities That Pose the Highest Risk
Cyera and Saviynt partner to close that gap by connecting identity governance with data context and actionable intelligence.
Cyera discovers and classifies sensitive data across cloud storage, SaaS apps, databases, and file systems. Saviynt secures the identities that access it: employees, service accounts, automated workflows, and AI agents.
Together, they give security teams a clear view of which identities can reach sensitive data and where risk exists, and the ability to:
- Govern every identity with data context. Unify human, machine, and AI agent access under one governance model powered by real-time data sensitivity and regulatory context.
- Prioritize the exposures that matter. Correlate identity access with sensitive data to surface over-privileged accounts, toxic permission combinations, and the risks that matter most.
- Secure sensitive data access, at scale. Right-size access and automate certifications to enforce least privilege and maintain continuous compliance across cloud, SaaS, and hybrid environments.
The result is continuous risk reduction. Access decisions reflect real data sensitivity, not assumptions. Policies enforce least privilege automatically, so organizations can adopt AI with confidence.
How the Integration Works
The new integration between Cyera’s AI-native Data Security Posture Management Platform and Saviynt’s AI-powered Identity Security Posture Management is built for enterprise production environments and supports event-driven, batch, or hybrid deployment models.
Continuous Data Risk Intelligence
Cyera continuously discovers and classifies sensitive data across structured and unstructured stores. This includes identifying regulated data such as PII, PHI, PCI, financial records, and secrets.
Cyera generates structured intelligence about each asset, including:
- Sensitivity classifications
- Field-level detection metadata
- Exposure indicators (public sharing or external access)
- Access telemetry and anomalous activity signals
- Normalized risk scores
When the risk posture of an asset changes, such as newly detected PII, broadened sharing, or elevated anomaly scores, Cyera generates an update.
A secure connector then transmits Cyera’s intelligence into Saviynt, including asset identifiers, sensitivity tags, exposure summaries, and risk scores mapped to identity entitlements. Importantly, the integration shares contextual metadata rather than raw sensitive data, minimizing data movement while maintaining compliance.
Risk-Based Policy Enforcement
Saviynt evaluates Cyera’s data intelligence alongside identity and entitlement signals. Policies can consider factors such as sensitivity classification, exposure risk scores, access recency, and ownership validation.
Based on this evaluation, Saviynt can automatically initiate:
- Entitlement revocation
- Owner attestation workflows
- Conditional approvals
- Time-bound access controls
- Ticketing or escalation processes
This turns data risk from an informational signal into an enforceable control.
From Detection to Remediation, In Minutes
Consider a payroll dataset containing high-confidence SSNs. Cyera detects field-level PII, broad group access (including contractors), and an elevated exposure score. Saviynt then evaluates policy and determines that contractors should not access payroll data.
The system automatically revokes the entitlement, notifies the data owner, opens an incident ticket with supporting evidence, and preserves a full audit trail. What once required manual coordination across data, IAM, and security teams now happens automatically, reducing exposure windows from weeks to minutes.
Smarter Identity and Data Security at Scale
AI is accelerating access across your organization, and your security program needs to keep pace. Cyera and Saviynt are AI-powered to make your teams faster and more effective, while securing the AI agents and automated workflows that are expanding access to sensitive data.
Together, they move security teams from static reviews to dynamic, risk-aware governance, closing exposures automatically, in minutes.
As access evolves, data remains your most protected asset, and your most competitive edge.
The risk is real. The remediation is automatic.
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