Data Security Posture Management for Cloud Workloads

What we do

Automatically discover sensitive data across cloud environments,

classify with AI, and prioritize risks to critical workloads

for efficient compliance and threat detection.

Our Customer Experience team is always on-hand to help fine-tune and optimize your strategy to improve efficiency and maximize your investment.

Automated Sensitive Data Discovery

Provide continuous visibility into where regulated data resides across your cloud-native architectures, enabling you to implement precise data controls, meet compliance requirements, and strengthen your overall data security posture management to reduce security risks.

AI Augmented Data Classification

Accelerate classification of sensitive information across your cloud environments by intelligently analyzing context, content, and metadata patterns. Reduce your manual efforts and precisely classify PII, PHI, PCI data to enhance your data security posture management and
meet regulatory and compliance needs.

Data Aware Risk Prioritization of Cloud Workloads

Focus remediation efforts on vulnerabilities posing genuine threats to workloads having access to sensitive data. By correlating infrastructure vulnerabilities with data context, organizations can effectively improve their data security posture management, distinguishing critical issues from theoretical concerns, reducing mean time to remediate for high-value targets.

How we do it

Intelligent Data Security for Cloud-Native Environments

We combine agentless scanning with ML-powered content analysis to continuously discover and classify sensitive data across cloud assets. By correlating data sensitivity with exposure vectors, attack paths, and identity context, we provide real-time visibility into protection status and enable data-centric risk prioritization. Our approach detects anomalous behaviors indicating potential exfiltration while implementing precise security controls that maintain compliance and reduce your critical data's attack surface.

Powerful scanning, detection, and
remediation tools for the hybrid cloud

Intelligent Data Discovery and Risk Assessment

Deep content analysis: Combines machine learning algorithms with deep content analysis to automatically identify, classify, and prioritize sensitive data across cloud-native architectures
Continuous Agentless Scan: Continuously scan your cloud assets for sensitive data using friction free approach
Real-time Visibility: Maintain real-time visibility into data location, access patterns, and protection status

Understand Exploitability with Data Context

Contextualize Findings: Correlate data sensitivity with exposure vectors, attack paths and infrastructure vulnerabilities to generate meaningful risk
Prioritize Risk: Enable security teams to make data-centric risk decisions that protect high-value assets
Enable Security Controls For Regulated Data: Understand what data exists and how it's being used, implement precise security controls, and maintain continuous compliance posture

Identify and Govern Access to Sensitive Data

Data Threat Detection: Identify anomalous and behavioral indicators on data exfiltration attempts due to insider threats or external actors
Data Aware Access Intelligence: Correlate identity context with data sensitivity classification to enable risk-appropriate access policies and reduce overall attack surface on your critical business data