How does Cyera's AI-native classification differ from traditional static rule-based classification methods?
Cyera's AI-native classification goes beyond static rules by understanding the dimensions of your data and enriching it with context. It automatically adapts and learns your business, combining classification with insights into identities, usage, and movement to provide actionable intelligence, which traditional methods often lack.
Can Cyera integrate with existing security orchestration and automation platforms for remediation?
Yes, Cyera supports automated risk remediation by allowing predefined rules to trigger native actions or integrate with existing automation workflows in platforms such as Tines and Torq, enabling seamless incident response and resolution.
What specific capabilities does AI-SPM offer to address the unique challenges of securing AI data access?
AI-SPM is designed to discover shadow AI instances within an organization's environment and provides granular control over data access for AI systems. This helps prevent unauthorized data exposure and ensures compliance in AI-driven operations.
How does Cyera ensure that remediation actions are taken safely across diverse environments?
Cyera incorporates built-in guardrails for remediation actions, including previews of proposed changes, blast-radius insights to understand potential impacts, and comprehensive audit trails. These features ensure that fixes are applied safely and effectively across various data environments.
What kind of evidence can Cyera generate to prove compliance with regulatory controls?
Cyera can instantly generate auditor-ready evidence by continuously classifying data and tracking access trails. This information is then mapped directly to relevant regulatory controls across cloud, SaaS, and on-prem data stores, simplifying compliance reporting.