Data Security Posture Management

The only self-learning AI driven discovery engine to achieve complete data coverage, with 99.9% accuracy—achieving time to value 4 times faster than any of our competitors.

The most accurate data identification and protection tool in the world

Secuvy’s Self-Learning AI platform has revolutionized the industry to reduce alert fatigue, and drive focus on exploitable, and accessible data vulnerabilities.

Secuvy’s DSPM identifies and classifies:

  • Any source, any data type, any cloud/on-premises coverage
  • In the basis of context risk
  • Alerting and enforcing data security policies anywhere

What is Data Security Posture Management?

Data security posture management (DSPM) provides visibility as to where sensitive data is, who has access to that data, how it has been used, and what the security posture of the data stored or application is. It does that by assessing the current state of data security, identifying and classifying potential risks and vulnerabilities, implementing security controls to mitigate these risks, and regularly monitoring and updating the security posture to ensure it remains effective. As a result, it enables businesses in maintaining the confidentiality, integrity, and availability of sensitive data. The typical users of DSPM include Information Technology (IT) departments, security teams, compliance teams, and executive leadership.

Data Problems Solved

Inventory and Classifications

Self-learning AI Driven Data Discovery for high accuracy and complete automation categorizing data by content, context, and patterns. Eliminate manual effort, heighten precision, and identify sensitive information across diverse datasets in real-time. Empower data protection, enhances security, and proactively addresses privacy risks.

Detection and Response

Continuous monitoring of the data landscape with differential scans to discover sensitive and dark data. Locate hidden, unmanaged data for better compliance, security, and operational efficiency at Petabyte scale. Identify how data is shared and moving across domains.

Access Governance

Visibility into ownership, access and access patterns of sensitive information, to prevent unauthorized and/or overprivileged access. IAM policies, privileges and data sprawl may generate complex web of access patterns but Secuvy simplifies visibility into access and privileges to protect data.

Retention/Deletion

Data deletion, a secure and irreversible removal of specific information from files, databases, and Software-as-a-Service (SaaS) applications minimizes the risk of data breaches, supports regulatory compliance, and upholds the principles of privacy by design.

Risk Metrics Scoring

Automating data risk metrics to autonomously quantify and evaluate data vulnerabilities to streamline risk assessment, enhance accuracy, and facilitation of data-driven decision-making for improved security measures and data risk remediation.

Privacy Compliance

Secuvy provides key ingredients for data privacy operations like data mapping, PIA/ROPA, DSR automation by leveraging comprehensive data discovery and purpose-based classification.

Infrastructure Vulnerability Detection and Remediation

Automated detection of exploitable infrastructure vulnerabilities and remediation to reduce risk and harden security at the data infrastructure level.

Why Secuvy?

Self-Learning AI.  We are the only platform that is foundationally built on Self-Learning AI.  This significantly improves accuracy, reduces cost and measurably improves time-to-value.

Because our competitors can only find 50 to 70% of your data, and you cannot effectively protect what you cannot find.

We can reduce costs by as much as 90%.  In any business, and in any economic environment, significant cost savings allows you to free up resources for other initiatives.

We customize solutions for your unique business needs in less time than our competitors implement off-the-shelf solutions.  Your business deserves the speed, convenience and time-to-value that Secuvy promises.

Experience Secuvy

When data accuracy matters