Best Data Security Posture Management (DSPM) Software for Confluence
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Compare the Top Data Security Posture Management (DSPM) Software that integrates with Confluence as of November 2026
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This a list of Data Security Posture Management (DSPM) software that integrates with Confluence. Use the filters on the left to add additional filters for products that have integrations with Confluence. View the products that work with Confluence in the table below.
What is Data Security Posture Management (DSPM) Software for Confluence?
Data security posture management software is designed to help organizations protect their critical data and systems by providing visibility into current security measures. It helps to identify threats and remediate vulnerabilities, ensuring that important data remains secure from unauthorized access. The software can be customized to meet the specific needs of an organization, offering real-time reporting on security events and simplifying the process of deploying new policies. Data security posture management software allows for a more comprehensive view of system security, helping organizations stay ahead of potential threats. Compare and read user reviews of the best Data Security Posture Management (DSPM) software for Confluence currently available using the table below. This list is updated regularly.
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Teleskope
Teleskope
Teleskope is a modern data protection platform designed to automate data security, privacy, and compliance at enterprise scale. It continuously discovers and catalogs data across cloud, SaaS, structured, and unstructured sources, classifying over 150 entity types such as PII, PHI, PCI, and secrets with high precision and high throughput. Once sensitive data is identified, Teleskope enables automated remediation, such as redaction, masking, encryption, deletion, and access correction, while integrating into developer workflows via its API-first model and supporting deployment as SaaS, managed, or self-hosted. The platform also builds prevention capabilities, embedding into SDLC pipelines to stop sensitive data from entering production systems, support safe AI adoption (without using unchecked sensitive data), handle data subject rights requests (DSARs), and map findings to regulatory standards (GDPR, CPRA, PCI-DSS, ISO, NIST, CIS). -
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CyberTide
CyberTide
CyberTide is an AI-native data security platform designed to give organizations full visibility, control, and protection over sensitive data across cloud, SaaS, collaboration tools, and generative AI environments. It combines multiple security capabilities into a unified stack, including Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, allowing teams to detect, classify, and secure data in real time. It uses context-aware artificial intelligence to analyze the meaning and relationships of data rather than relying on keywords, significantly reducing false positives while achieving high-precision detection of sensitive information. It continuously scans data at rest and in motion, across emails, chats, files, and AI prompts, enforcing policies that prevent unauthorized sharing, leakage, or misuse of confidential data such as personal, financial, or proprietary information. -
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Matters.AI
Matters.AI
Matters.AI is the first AI Security Engineer for Data, built for the AI and data layer to autonomously see, understand, and resolve data misuse before the SOC opens a ticket. It protects what truly matters wherever data lives or travels, functioning like an AI security engineer that understands context, monitors behavior, and protects sensitive data autonomously across cloud, SaaS, endpoints, microservices, and AI pipelines. Matters is built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, so it does not just detect threats; it understands context, anticipates risk, and takes action proactively. Instead of relying on static rules, regexes, dashboards, and noisy alerts, Matters reads between the lines, traces risk in motion, and never sleeps. It identifies sensitive data not just by how it looks, but by what it represents, tracking data across cloud, SaaS, endpoints, and beyond using fingerprinting and eBPF.
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