Secure Financial Data and Ensure Compliance
For financial firms, protecting data, AI, and privacy is both a business necessity and a strategic advantage.
Redefining Data Security for Every Role
Prevent data leakage
Reduce breach risk and protect high-value customer data, using unified visibility and controls across cloud, SaaS, endpoints, and AI.
Remediate data risks
Improve MTTR with automated, risk-based workflows to fix misconfigurations, open shares, and risky AI or DLP events quickly.
Maintain least privilege
Continuously identify and right-size excessive permissions to sensitive financial data.
Uncover shadow AI
Find unsanctioned AI tools and touching sensitive data, and partner with app and data teams to safely enable AI.
Orchestrate DLP
Correlate alerts with rich data context, cutting false positives and relieving alert fatigue.
Reduce audit costs
Spend less time manually pulling evidence for regulators or internal audits by providing centralized controls and reporting.
Reduce data sprawl
Regain control over growing datasets, enabling cleaner data architectures, simpler governance, and better-quality analytics.
Optimize storage costs
Identify redundant, stale, and low-value data and shrink storage footprints without sacrificing critical datasets.
Automate classification
Maintain an accurate, continuously updated map of sensitive customer data, enabling safe data sharing for analytics, AI, and partner ecosystems.
How Cyera Helps Financial Organizations Protect Customers and Markets
The world runs on data. Cyera keeps it safe.
Identify and label data in discovered datastores with relevant data classes, and use context to determine the criticality of your data with 95% precision.
Precision
Fragmented, ungoverned sensitive data can be leaked into models and exposed by agents.
Speed
Sensitive data can be ingested and exposed outside IT controls, creating compliance and leak risk.
Scale
Agent identities multiply risk at machine speed, outpacing manual controls.
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