Data Security

AHEAD data security solutions include data loss prevention, consistent classification and protection of sensitive data, and stronger data governance. 

Talk to an Expert
Image unavailable

Challenges of Data Security

io

Implementing Data Protection Against Sophisticated Cyber Attacks

See how Dell & AHEAD are helping organizations protect their business-critical data against rapidly evolving cyber threats

Read Article

AHEAD Data Security Solutions

Image unavailable
01.

Backup and Recovery

AHEAD designs, implements, and manages modern, immutable backup architectures and recovery processes across on‑prem, cloud, and SaaS to protect critical data from loss, ransomware, and outages.  

Image unavailable
02.

Data Loss Prevention (DLP)

We design and deploy DLP policies, sensitivity labels, and enforcement rules across email, collaboration, endpoints, and cloud apps to detect and prevent unauthorized sharing or exfiltration of sensitive data, while keeping it easily accessible to the right teams for business use.  

Image unavailable
03.

Data Classification and Quality

AHEAD creates enterprise‑wide data classification standards and a reusable data quality framework that labels, measures, and continuously improves critical datasets. We ensure your data is trustworthy for both analytics and AI while making it easier to govern and protect. 

Why AHEAD for Data Security?

Image unavailable
  • 01.

    Enterprise Data Operating Model

    AHEAD defines and implements an enterprise data governance operating model with clear roles, domains, and decision rights so that it’s explicit who approves access, manages quality, and handles security and compliance for each data set day‑to‑day.  

  • 02.

    Automated Enforcement

    We deploy a data governance framework that standardizes classification, access, retention, and protection policies, then operationalizes these standards through tools and automation so controls are applied consistently.  

  • 03.

    Strategy‑led, Embedded Governance

    AHEAD ties governance to concrete business and regulatory objectives, then embeds policies-as-code into data pipelines, SDLC, and operational workflows. This transforms governance from a standalone project into a seamless part of how your organization delivers and uses data.