Contextualized visibility is crucial for organization’s data security strategy because it provides a deeper understanding of patterns and behavior within an organization's network. This allows organizations to identify potential vulnerabilities and threats that may not be evident through traditional security measures.
Dasera’s contextualized visibility involves monitoring information and context from data infrastructure, data attributes, data access, and data usage. This gives organizations an accurate picture of their data security posture and provides critical insights to improve security and governance whether data is multi-cloud or on-prem.
By providing contextualized visibility, Dasera can better identify data security issues and proactively prevent security breaches. This helps organizations to protect sensitive data and reduce the risk of financial losses, legal liabilities, and damage to their reputation. Additionally, contextualized visibility can help organizations to comply with data privacy regulations, such as GDPR and CCPA, by providing a detailed understanding of how data is being used and who has access to it.
Companies need to simplify data discovery and classification and automate policy enforcement for secure data across on-prem, hybrid, and multiple clouds to effectively manage and protect their data. As organizations continue to collect and store vast amounts of sensitive data, it becomes increasingly challenging to identify and classify this data manually. This can lead to a lack of visibility and control over sensitive data, which can result in data breaches, compliance violations, and other security incidents.
Automating data discovery and classification with a platform like Dasera can help organizations identify sensitive data across their entire data infrastructure, regardless of where it's stored. This provides a unified view of data security, enabling organizations to enforce consistent policies across all data stores and reduce the risk of data breaches and compliance violations.
Additionally, automating policy enforcement helps to ensure that data is consistently protected according to organizational policies, reducing the likelihood of human error or oversight. This can include implementing data access controls, data retention policies, and data encryption policies to protect sensitive data from unauthorized access or disclosure.
Check out our white paper to explore how DSPM and real-time monitoring can protect your sensitive data.
Dasera helps organizations have effective Data Access Governance with granular access insights and controls allowing enforcement of fine-grained policies and access related compliance. It allows companies to have greater control over who has access to sensitive data, which is crucial for maintaining data security and compliance. By implementing fine-grained access controls, organizations can limit access to sensitive data to only those who need it and follow the principle of least privilege.
Additionally, granular access insights and controls allow organizations to monitor user activity and identify potential security threats. By tracking user access and behavior, organizations can detect anomalies and suspicious activity, which can help prevent data breaches and other security incidents.
Fine-grained access controls are often necessary to comply with data privacy and security regulations. Many regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), require organizations to implement strict controls over access to personal data. By gaining granular access insights and controls, organizations can ensure they are meeting these regulatory requirements and avoid costly fines or legal action.
Data usage risk management is an important aspect of maintaining the security and compliance of an organization's data infrastructure. It involves analyzing data queries to determine the level of risk associated with the query contents. Dasera enables organizations to implement data usage risk management to ensure data analysts and engineers are using data query privileges appropriately and with business purpose.
May unknowingly create queries that can pose a significant security or privacy risk if left unchecked. By implementing appropriate data usage risk management, organizations can proactively identify and mitigate these risks.
Another important aspect of data usage risk management is the ability to maintain user accessibility while still mitigating risks. By monitoring and analyzing data queries, organizations can ensure data users are using their access privileges appropriately and with business purpose.
Compliance monitoring is crucial for organizations to ensure that they are meeting regulatory requirements and industry standards. Failure to comply with regulations such as GDPR, CCPA, HIPAA, and others can result in significant legal and financial penalties, damage to reputation, and loss of customer trust.
The Dasera platform addresses this need by enabling continuous monitoring and detection of data compliance violations throughout the data infrastructure. By monitoring data infrastructure, data and attributes, data users, and data usage, Dasera’s solution that helps organizations comply with regulations such as GDPR, CCPA, and HIPAA.
Data detection and response (DDR) is a cybersecurity approach that focuses on detecting and responding to data-related security incidents in near real-time. DDR solutions use advanced analytics, machine learning, and automation to identify potential threats to data, such as data leaks, unauthorized access, and data exfiltration. Once a threat is detected, the DDR system can trigger automated responses, such as alerts to security teams, policy enforcement, or even automated remediation actions.
The key advantage of DDR is its ability to quickly detect and respond to data-related security incidents. By analyzing large volumes of data in real-time, DDR can identify potential threats before they cause significant harm to an organization. Additionally, by automating response actions, DDR can reduce the workload on security teams and improve the efficiency of incident response.
Real-time data monitoring and analysis: DDR solutions continuously monitor data flows across an organization's network and analyze them in real-time to identify potential threats.
Automated alerts and notifications: DDR solutions can automatically generate alerts and notifications when potential threats are detected, enabling security teams to respond quickly to incidents.
Orchestration and automation: DDR solutions can automate incident response workflows, such as policy enforcement, quarantine of affected data, or even automated remediation actions.
Policy enforcement: DDR solutions can enforce security policies across an organization's data environment, ensuring that data is protected according to established policies.
Data Store Discovery: Dasera discovers all databases in cloud accounts on ongoing basis
Overall, DDR provides a comprehensive approach to data security that can help organizations quickly detect and respond to data-related security incidents, reducing the risk of data loss and other harmful consequences.