Sentra, the global leader in cloud-native data security for the AI era, has officially announced the launch of new integrations with Microsoft Purview Information Protection (MPIP) and JupiterOne to augment data security and governance across multi-cloud environments.
Under the agreed terms, Sentra’s advanced data classification facility will work alongside MPIP labeling to combine traditional with AI-powered methods, and therefore, enhance Microsoft Purview Data Loss Prevention (DLP) and Microsoft 365. This it will do to enable more accurate and comprehensive sensitive data identification.
On the other hand, Sentra’s integration with JupiterOne will focus on improving data security posture by correlating its data security findings with JupiterOne’s cyber asset intelligence, all for providing deeper visibility into data risks and achieving more effective threat mitigation.
To understand the significance of such a development, though, we must take into account how organizations today are struggling against the growing challenge of explosive creation and disbursement of data across hybrid environments, as well as an increased urgency for streamlined compliance to meet regulatory demands.
In response, Sentra’s latest integrations with MPIP and JupiterOne will offer a strategic advantage through tools that, on their part, can strengthen data protection and proactively address risks across increasingly complex multi-cloud and hybrid landscapes.
“In this era of AI, it is even more critical than ever for organizations to equip themselves with all-in-one data security solutions that provide visibility and control to protect all of their sensitive information––from discovery and classification to risk remediation,” said Yoav Regev, co-founder and CEO at Sentra. “Integrating with MPIP deepens our longstanding relationship with Microsoft and further extends our capabilities into its trusted ecosystem. Our partnership with JupiterOne reinforces our mission to empower organizations to understand, analyze and mitigate data security risks.”
Talk about the given development on a slightly deeper level, we begin by expanding upon Sentra’s integration with MPIP, something which provides organizations with a comprehensive toolset to protect their most critical data. You see, thanks to this collaboration, MPIP users can enjoy industry-leading low false positives and greater than 95 percent classification accuracy of sensitive data across structured and unstructured assets.
A more benefit-specific lowdown would reveal the availability of rich contextualized insights that can enhance traditional classification accuracy with detailed context regarding data assets so to simplify policy management and reduce manual effort.
Next up, we have the benefit on automated tagging, where you can use policies and rules to apply MPIP sensitivity labels automatically and facilitate adaptive AI learning of customer unique data types.
Another detail worth a mention is rooted in the potential for scaling operations. Here, granular and adequately contextual tags can provide the necessary information of confidently and automatically action remediation, allowing operations to scale effectively.
Joining that would be the promise to improve risk management. Tapping into the capabilities of Microsoft Purview, the stated integration should able to solidify DLP and compliance strategies at scale.
Turning our attention towards Sentra’s integration with JupiterOne, it will make a point to deliver deeper visibility into data at risk and help security teams effectively identify misconfigurations, excessive permissions, and data exposure risks.
From a more actionable standpoint, Sentra will automatically transmit data security-related issues to JupiterOne, where they are going to be analyzed alongside vulnerability data, asset relationships, and cloud security insights.
On top of that, the former will be tasked with automatically classifying regulated data and helping track where sensitive data resides, who has access, and whether it’s appropriately protected.
Among other things, we ought to mention how Sentra’s findings are categorized and mapped into JupiterOne’s vulnerability insights, offering clear visibility into specific data risks, such as misconfigured or insecure data storage locations, identity and access management (IAM) group misconfigurations, overly permissive IAM roles, and user identities with unnecessary access to sensitive data.
“JupiterOne primarily focuses on asset visibility, relationships, and governance,” said James Mountifield, Product Management Director at Sentra. “By integrating with Sentra, JupiterOne customers gain deeper insights into data classification, sensitivity levels, and security posture at the data layer. This enables a more comprehensive risk assessment that includes not just infrastructure assets but also the data they store and process.”