Prevalent AI
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About
Prevalent AI is a comprehensive exposure management platform built upon a sophisticated Security Data Fabric. The platform addresses a common challenge in modern cybersecurity: the fragmentation of data across rigid, siloed solutions. By unifying disparate data sources into a single, cohesive knowledge graph, it provides organizations with an exhaustive view of their entire attack surface. This includes everything from physical devices and user identities to complex cloud environments, ensuring that no asset remains invisible to the security team. At the core of the platform is the use of advanced data science and AI-powered entity resolution. This technology automates the integration of complex data sets, transforming what the company describes as "data chaos" into actionable clarity. By resolving identities and assets across different systems, the tool helps security professionals move beyond simple alert monitoring. Instead, it allows them to contextualize risk findings, understanding not just that a vulnerability exists, but how it impacts the broader organizational structure and which exposures represent the most significant threat. This platform is specifically designed for large-scale organizations and global enterprises with complex IT infrastructures that generate high volumes of security noise. It is particularly valuable for Chief Information Security Officers (CISOs), security operations centers (SOCs), and risk management professionals who need to prioritize remediation efforts effectively. By focusing on the fixes that make the most significant difference to security posture, teams can stop playing catch-up and start staying ahead of potential attackers through continuous control monitoring. What differentiates Prevalent AI is its foundational commitment to Security Data Science. As a member of the ISTARI Collective, the company leverages a high level of expertise to treat cybersecurity as a data-at-scale problem rather than just a perimeter defense issue. Their approach doesn't just identify weaknesses; it measures posture improvements over time and provides a unified layer of intelligence that connects previously disconnected security tools, making it a strategic asset for organizations aiming for long-term cyber resilience.
Pros & Cons
Consolidates siloed data into a single unified knowledge graph for better visibility.
Uses AI-powered entity resolution to significantly reduce security alert noise.
Provides comprehensive coverage across devices, identities, and cloud surfaces.
Offers clear prioritization of fixes based on actual risk impact.
Backed by the ISTARI Collective network of cybersecurity experts.
Pricing is not publicly disclosed and requires a custom quote.
The platform is primarily aimed at large enterprises with complex data needs.
Access to the tool requires a demo request rather than an immediate sign-up.
Use Cases
Chief Information Security Officers can use the platform to measure and report on posture improvements to organizational leadership.
Security operations teams can automate asset resolution to eliminate manual data cleaning and focus on high-priority remediation.
Risk managers can identify and contextualize exposures across fragmented global IT infrastructures in a single view.
Cloud security architects can gain visibility into how cloud-based identities and assets interact with on-premise systems.
Platform
Task
Features
• exposure management
• ai-powered entity resolution
• security data fabric
• continuous control monitoring
• risk prioritization
• posture improvement analytics
• attack surface visibility
• unified knowledge graph
FAQs
What is the Security Data Fabric?
The Security Data Fabric is an automated system that integrates disparate and complex security data into a unified knowledge graph. It uses AI-powered entity resolution to turn fragmented data into clear, actionable insights for security teams.
How does Prevalent AI prioritize security risks?
The platform contextualizes risk findings within its data fabric to filter out noise and identify which exposures are most critical. This allows teams to focus their remediation efforts on the vulnerabilities that provide the highest risk reduction.
Can Prevalent AI monitor cloud environments?
Yes, the platform provides complete visibility across your entire attack surface, including devices, user identities, and cloud infrastructure. It continuously monitors these areas to identify weaknesses and measure control effectiveness.
What is AI-powered entity resolution?
Entity resolution is an AI-driven process that identifies and connects related data points across different systems to create a single source of truth. This helps reconcile different names or identifiers for the same assets or users.
Pricing Plans
Custom
Unknown Price• Security Data Fabric access
• AI-powered entity resolution
• Full attack surface visibility
• Risk prioritization engine
• Continuous control monitoring
• Remediation streamlining
• Posture improvement measurement
• Unified knowledge graph
• Identity and cloud monitoring
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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