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Sentra

Sentra provides AI-data governance and continuous compliance solutions for securing sensitive data at petabyte scale. The platform continuously discovers, classifies, and manages regulated data across cloud and on-premise environments to minimize exposure risks. It integrates with existing tools to enhance Data Loss Prevention (DLP) effectiveness and ensure adherence to over 40 compliance frameworks.

Tel Aviv, IsraelFounded 202111610K+ followers
Updated 4 months ago

Funding

$53M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to maintain visibility and control over sensitive data spread across diverse cloud environments, including SaaS, IaaS, PaaS, and on-premises systems. This lack of comprehensive data awareness leads to security blind spots, compliance violations, and increased risk of data breaches. Existing security tools often fail to provide the necessary context and automation to effectively manage data security posture at scale.

Solution

Sentra offers an AI-powered Data Security Posture Management (DSPM) platform that automatically discovers, classifies, and monitors sensitive data across the entire data estate. The platform provides contextual insights into data risks, enabling organizations to prioritize threats based on data sensitivity and policy guidelines. By enforcing least privilege access, detecting policy violations, and preventing data loss, Sentra helps organizations proactively mitigate risks and maintain compliance. Its agentless and non-intrusive scanning ensures enterprise-scale data protection without impacting performance or requiring constant administration.

Target Audience

Sentra is designed for security and compliance teams within enterprises that manage large volumes of sensitive data across multi-cloud and hybrid environments.

Features

  • Automated data discovery and classification using AI-enhanced context analysis and labeling
  • Continuous monitoring of data access and movement to identify risky transformations and policy violations with DataTreks™
  • Least privilege enforcement to prevent unauthorized access to sensitive data
  • Anomaly detection to identify suspicious behavior and potential data breaches
  • Integration with CNAPP, CSPM, and IR processes to enhance sensitivity analysis and optimize threat mitigation
  • Pre-built and custom policies to ensure adherence to regulatory compliance requirements (GDPR, PCI-DSS, CCPA, DPDPA)
  • Agentless scanning that operates within the customer's environment without data extraction
  • Secure and responsible AI approach for LLM applications to alleviate GenAI data privacy concerns
This profile is AI-generated and may contain inaccuracies.