We’re here to help! Check out our wide range of service offerings to see which options fit best with your organization.
Since 2005, Infolock has assisted hundreds of customers in understanding their data risk posture and improving their data risk management maturity.
From datasheets to DataRAMP, Infolock has all your data risk management resources at your fingertips.
Infolock is a data risk management advisory, consulting, and managed services firm.
We’re here to help! Check out our wide range of service offerings to see which options fit best with your organization.
Since 2005, Infolock has assisted hundreds of customers in understanding their data risk posture and improving their data risk management maturity.
From datasheets to DataRAMP, Infolock has all your data risk management resources at your fingertips.
Infolock is a data risk management advisory, consulting, and managed services firm.
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Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) are both crucial tools for data risk management, but they serve different functions within an organization’s security framework.
DLP focuses primarily on monitoring, detecting, and blocking sensitive data while it is in use, in motion, and at rest to prevent unauthorized access, exfiltration, and data breaches.
DLP systems are typically rule-based and often require setting up pattern-driven detection policies that define what constitutes sensitive data and the conditions under which this data can be accessed, transferred, or shared. The main objective of DLP is ensuring that sensitive data does not leave the network without authorization.
DSPM tools are designed to provide a comprehensive view of data security across the organization by identifying sensitive data, assessing risks, and suggesting or automating remediation actions. DSPM solutions are focused on data visibility and control within cloud and hybrid environments.
They help organizations understand where their sensitive data resides, how it is being accessed, and how to protect it from threats. DSPM tools leverage advanced technologies like AI and machine learning to automate data categorization and risk assessment processes.
Prevents data exfiltration and unauthorized access primarily through content inspection and contextual analysis.
Provides visibility into data security risks and automates the identification and remediation of security gaps in data storage and access.
Primarily utilizes predefined detection rules and monitoring policies to control the flow of sensitive information.
Employs AI and machine learning for dynamic data categorization and risk assessment, often functioning in a semi-automated way without predefined rules or policies.
Effective in both on-premises and cloud environments but often requires complex configuration.
Especially suitable for cloud environments, providing a holistic view of data security across various cloud services and applications.
Helps enforce compliance by preventing data breaches through real-time monitoring and blocking.
Supports compliance efforts by improving data security insights, through risk assessments and recommendations for security remediation.
Enterprise data risk management requires a deep understanding of the who, what, where, why, and how of data
It is difficult, if not impossible, to manage data risk without systematically discovering and classifying data assets using modern tools, technologies, and techniques
Classification initiatives have been slow to mature due to data sprawl, cloud adoption, weak governance, and poor organizational alignment
Data Security Posture Management (DSPM) solutions accelerate data risk program development, by overcoming technical challenges around data governance, visibility, and protection.
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