guardlydata.com

What It Is

GuardlyData is a real-time data protection product built around the idea of “Zero-cloud DLP,” positioned to intercept data exfiltration risks on the endpoint side. Its core approach is to run AI inference and sensitive information detection locally on employee devices, covering clipboard activity, typed input, Slack/Teams/Discord, email, ChatGPT/Claude/Gemini, and development scenarios such as VS Code and Cursor AI. The goal is to reduce the risk of sensitive data being leaked before it is sent to third-party clouds or large language model services.

Core Capabilities and Deployment

In terms of protection types, it combines endpoint DLP, secret detection, PII redaction, GenAI input protection, and secure data handoff. The site highlights sub-100ms detection, local inference, offline protection, and context-aware intent analysis—for example, distinguishing between a build script reading an API key and a user pasting a secret into Slack. Remediation is not limited to blocking; it can also include in-place redaction, generating one-time encrypted links, warning and logging, or silent auditing. For deployment, the copy mentions single PKG installation, a macOS agent, and silent MSI/PKG deployment, with support for Jamf, Kandji, and Intune. No network proxy or traffic rerouting is required.

Management, Compliance, and Integrations

GuardlyData provides a Cloud Dashboard for centralized visibility, policy distribution, behavior analysis, and audit telemetry. Its compliance narrative mainly centers on data residency: raw PII and secrets remain on the local device, while only metadata is sent to the management console. The page mentions SOC 2 Ready, SOC2/HIPAA, GDPR, and ISO 27001, but does not clearly state that the company itself has obtained those certifications. These should therefore be understood as compliance support or audit readiness. For integrations, it supports Splunk, Datadog, SIEM, Slack/Teams alerts, and developer workflows such as VS Code, Cursor AI, and CLI.

Pricing, Pros, and Cons

Pricing is not public; the site only offers options to book a demo or contact an expert. Before purchasing, buyers should confirm the licensing model, per-endpoint pricing, support SLA, and trial terms. Its strengths are a local-first architecture that aligns well with data sovereignty requirements, coverage for emerging scenarios such as GenAI and developer secret leakage, and relatively flexible remediation options. Its drawbacks are limited commercial and compliance transparency, incomplete detail on platform capabilities, and relatively few customer cases or third-party validation materials.

Who It’s For and Access from China

GuardlyData is better suited to healthcare, finance, government, R&D teams, and other organizations that are sensitive to data residency, audit evidence, and endpoint-level outbound data controls. The source text provides no information about access from mainland China, and payment methods are not disclosed. If procurement is constrained, consider comparing it with Microsoft Purview DLP, Netskope, Forcepoint, Symantec DLP, GitGuardian, and similar solutions, while focusing on domestic network connectivity, endpoint compatibility, and local compliance requirements.