Dig Security

Context-aware data classification is key to improving your organization’s overall security posture. But with today’s complex digital infrastructures, accurate and effective data classification is easier said than done.

To enable comprehensive, tailored security policies and allow you to level up your cloud security, DSPM tools can classify your data assets in five essential categories:

1️⃣ Data types – your most basic building blocks. Email addresses, SSNs, etc.
2️⃣ Context – metadata (timestamps, format, location) and enrichment from CRM / ERP
3️⃣ Subject – the actual contents of the file in question
4️⃣ Sensitivity – the breadth and depth of the affected data
5️⃣ Labels – organizational tagging systems (such as Microsoft Information Protection)

💡 The more granular and comprehensive your data classification is, the better you can understand and mitigate risk in your cloud environment.

↘ Read our full guide to cloud data classification: https://www.dig.security/post/context-aware-data-classification-for-data-security-posture

On-premise DLP solutions were once the go-to for most industries. However, cloud adoption and digital transformation have forced industry experts to reassess, as cyber security teams struggle to deal with an increased volume of data stored in disparate locations. ☁️

Smart companies are regaining control by embracing agentless DLP solutions tailored to address the unique challenges of the public cloud.

What does a cloud DLP solution look like? Check for five capabilities:

✅Agentless data discovery capable of handling fractured data stack and shadow data.
✅Streamlined data classification and inventory processes.
✅Posture and static risk analysis, refocusing attention where it is needed.
✅Critical incident response in real-time with agentless dynamic monitoring.
✅Unified threat models that constantly update for optimized cover.

→ Learn more about the benefits of cloud-native DLP solutions: https://www.dig.security/post/5-essential-components-of-a-cloud-dlp-solution

5 Essential Components of a Cloud DLP Solution As DLP for on-premises is not a good fit for modern public clouds, we present an alternative framework for designing cloud DLP, based on five core components.

Why Dig? 🤔

We believe cybersecurity teams, data security teams, and privacy and compliance professionals shouldn't have to struggle to secure their data.

Our leading data security posture management ( ) platform with built-in data detection and response ( ) capabilities was purpose-built to accomplish this, enabling you to:

✅Know what data you have
✅Understand how your data is used
✅Protect your data across all your cloud data stores

-- making data security easy.

⛏️Dig deeper on why Dig, why DSPM, why DDR, and more: https://www.dig.security/why-dig