FortifyData AI-Powered Cyber GRC Platform
FortifyData is an AI-powered Cyber GRC platform that unifies attack surface management, risk-based vulnerability management, third-party risk management, and compliance automation into a single, continuously updated system built for modern security and risk teams. Where traditional GRC tools generate static dashboards and reports for humans to interpret, FortifyData's AI layer transforms how organizations engage with their risk data, moving from passive consumption to active, continuous risk management. Underpinning the platform is a layer of AI capabilities that automate risk workflows, analyze security reports, and give teams a direct interface to interrogate their security posture and take action on what they find. Attack Surface Management & Risk-Based Vulnerability Management FortifyData continuously discovers, assesses, and prioritizes risk across your entire external attack surface, delivering the real-time exposure intelligence security teams need to act on what matters most. The platform combines external attack surface discovery, vulnerability identification, and risk-based prioritization into a unified, continuously updated workflow. Rather than generating point-in-time snapshots, FortifyData maintains a live inventory of assets, exposures, and risk context, enabling organizations to operationalize a Continuous Threat Exposure Management (CTEM) strategy without stitching together multiple point solutions. AI-powered analysis correlates asset exposure with threat intelligence and business context, so teams prioritize remediation based on actual risk impact rather than raw vulnerability volume. Configurable risk modeling ensures prioritization reflects your organization's unique environment and not a generic industry baseline. Third-Party Risk Management & Vendor Security Assessment FortifyData's TPRM solution goes beyond questionnaires and periodic assessments by continuously monitoring the external attack surface of your vendor ecosystem, giving organizations a live, evidence-based view of third-party risk rather than a self-reported one. Vendor findings from continuous external monitoring are used to automatically validate technology-related questions within assessments, questionnaires, and compliance frameworks, eliminating manual cross-referencing and reducing the time and subjectivity inherent in traditional vendor review processes. Combined with in-scope assessments that target the specific technologies and controls relevant to each vendor relationship, FortifyData ensures that third-party risk reviews reflect actual exposure and not just vendor attestation. AI capabilities extend across the entire vendor lifecycle. An AI Auditor automatically analyzes and scores vendor-submitted security reports. AI Lifecycle Management Agents autonomously manage vendor workflows from onboarding through continuous monitoring and renewal. An AI interrogation interface allows risk teams to actively query vendor risk data and trigger actions, replacing passive report consumption with dynamic risk engagement. Governance, Risk & Compliance FortifyData's compliance automation capabilities connect live risk and control data directly to framework requirements, eliminating the manual effort of mapping security posture to compliance obligations. The platform supports any standard compliance framework out of the box, with the flexibility to configure custom frameworks to meet organization-specific requirements. Unlike standalone GRC tools that rely on self-assessed control status, FortifyData continuously validates compliance posture against real-time asset, vulnerability, and vendor risk data, so compliance reporting reflects actual security state rather than a periodic attestation. This connection between live risk intelligence and compliance workflows enables organizations to reduce audit preparation time, identify control gaps proactively, and demonstrate a defensible, evidence-based compliance posture to auditors, boards, and regulators. A Unified Platform Advantage FortifyData eliminates the tool sprawl and data fragmentation that undermines effective cyber risk management. By unifying attack surface management, vulnerability prioritization, third-party risk, and compliance automation in a single platform, security and risk teams gain a connected view of exposure across internal assets, vendor relationships, and regulatory obligations, with AI accelerating every step from discovery to remediation. The result is faster risk decisions, reduced operational complexity, and a measurably stronger security posture.
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