This startup offers an automated data security platform that discovers, tracks, and monitors sensitive information across diverse IT environments. The platform uses customizable policies to classify data, visualize its location, and recommend actions to maintain control and compliance, thereby reducing data-related risks.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing risks of data breaches and compliance violations due to the difficulty of identifying and monitoring sensitive data, such as Personally Identifiable Information (PII), across diverse IT environments. Traditional data protection tools often lack the scalability and precision needed to prevent unauthorized data exposure in real-time. This can lead to significant financial losses, reputational damage, and regulatory penalties.
Solution
NeuralLens.ai offers NeoGuard, an AI-powered data security platform that detects and prevents data leaks in real-time. NeoGuard continuously monitors data from various sources, including web server logs, event logs, and access logs, to identify potential PII exposure or data leakage. The platform uses customizable security policies and AI models to analyze ingested data without using customer data to train models, providing actionable insights and guidance for remediation. NeoGuard helps organizations maintain data governance, adhere to compliance policies, and avoid penalties while ensuring data integrity.
Target Audience
The primary target audience includes organizations that handle sensitive data and need to comply with data protection regulations, such as GDPR and CCPA.
Features
- Real-time data leak detection and monitoring for immediate identification of potential security risks
- AI-powered analysis of data for PII exposure without using customer data for model training
- Customizable security policies and rules for enhanced protection tailored to specific needs
- Real-time alerts and actionable insights for security teams to facilitate prompt remediation
- Compliance tracking to ensure adherence to data governance and compliance policies
- Scalable architecture that adapts to growing data infrastructure
- Integration with existing systems, logs, and infrastructure for seamless deployment