Data security posture management (DPSM) has emerged as a crucial tool for both cloud service providers and their customers in their quest to strengthen their security measures. Ravi Ithal, the representative of Normalyze, sheds light on this innovative approach and its significant differences from conventional data security management. In a recent discussion, Ithal delves into the role of risk prioritization in DPSM and highlights the reasons behind its compatibility with cloud security. Additionally, he addresses Normalyze’s decision to incorporate on-premises data into the data management mix and offers valuable insights for organizations considering the implementation of DPSM.
With an extensive background in enterprise and cloud security, Ithal’s expertise on the subject matter is unquestionable. Prior to his current position at Normalyze, he played a key role in the founding and development of Netskope, a renowned provider of cloud-native solutions for data protection and defense against cloud-based threats. His experience also includes working as one of the founding engineers at Palo Alto Networks, along with engineering roles at Juniper and Cisco.
When discussing DPSM, Ithal emphasizes the importance of risk prioritization in effectively managing data security postures. Unlike traditional data security management methods that tend to treat all data and assets equally, DPSM takes into account the varying levels of risk associated with different types of data. By leveraging risk prioritization techniques, organizations can allocate their security resources and efforts more efficiently, focusing on the critical areas that require immediate attention.
Cloud service providers and their customers stand to gain several advantages from adopting DPSM. One key benefit is the ability to gain real-time visibility into the security posture of their data. This allows organizations to promptly identify and address vulnerabilities or potential threats, preventing them from escalating into major security breaches. Moreover, as the cloud landscape evolves rapidly, DPSM enables organizations to adapt and respond to emerging threats, ensuring that their data remains secure in this ever-changing environment.
To further enhance the effectiveness of DPSM, Normalyze made the decision to expand its capabilities to cover on-premises data as well. This strategic move allows organizations to consolidate their data security management efforts, regardless of where their data resides. By applying the same risk prioritization principles to on-premises data, organizations can streamline their security operations and ensure a consistent and comprehensive approach across their entire data infrastructure.
For organizations considering the implementation of DPSM, Ithal offers valuable advice. Firstly, he highlights the importance of understanding the specific security needs and requirements of their data assets. By conducting a thorough assessment, organizations can determine the optimal risk prioritization approach and tailor it to their unique circumstances. Secondly, he emphasizes the significance of selecting a DPSM solution that aligns with their existing security infrastructure and workflows. This enables a smoother integration and reduces the risk of disruption to ongoing operations.
In conclusion, DPSM has emerged as a game-changing approach to data security management, particularly within the cloud environment. With risk prioritization at its core, DPSM allows organizations to allocate their security resources effectively and respond promptly to emerging threats. Ravi Ithal’s insights on the subject provide valuable guidance for organizations considering the deployment of DPSM, ensuring that they can enhance their security postures and protect their vital data assets effectively.