LeakSignal AI-driven protection and governance for data at rest and in transit

What is LeakSignal?

LeakSignal offers comprehensive data flow governance across your entire estate. The platform provides AI-driven protection and governance for sensitive data, both at rest and in transit.

It ensures security and compliance through real-time data classification, comprehensive data flow analysis, enhanced regulatory compliance, and complete GenAI governance. LeakSignal seamlessly integrates with existing infrastructure, offering policy-based enforcement of sensitive data handling. It is recognized by NIST for in-transit data classification.

Features

Real-Time Data Classification: Classify sensitive data in-transit, allowing for policy-based enforcement and governance of data flows.
Comprehensive Data Flow Analysis: Detailed insights into how data is accessed, used, and transmitted across your infrastructure, enabling better decision-making and incident response.
Enhanced Regulatory Compliance: Continuous monitoring and control over data flows, ensuring that all data access and transmission activities are logged and audited.
Complete GenAI Governance: Govern data usage in generative AI models, ensuring that sensitive data flows are monitored and compliance standards are upheld.
Endpoint Governance: Complete governance and protection for endpoints.
GenAI Data Flow Protection: Deploy and protect GenAI workloads with data flow classification for LLM inputs and outputs.
Sensitive Data Flow Observation: Observe and protect all sensitive data flows.
Log Pipeline Leakage Prevention: Observe and redact sensitive data before it is sent into logs and storage systems.
3rd Party Data Audit and Protection: Observe sensitive data being sent to 3rd parties from production workloads in cloud and on-prem environments.

Use Cases

Protecting intellectual property and sensitive data when employees access third-party GenAI.
Deploying and protecting GenAI workloads.
Mapping data flows across cloud environments.
Inventorying and protecting APIs.
Detecting data leakage, exploits, and PII exposure in live traffic.
Preventing sensitive data leakage in log pipelines.
Auditing and protecting data sent to third parties.