Vendor risk management automation platform - AI tools

Vendict is an AI-powered platform that revolutionizes vendor risk management by automating security questionnaires, enhancing compliance, and building trust.

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Expent streamlines the entire vendor lifecycle, from sourcing and selection to risk management and renewals, using AI-powered automation for procurement, security, and IT teams.

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vRx by Vicarius offers real-time and automated patching, patchless protection, and script-based remediation across apps, OS, and third-party software. It significantly reduces vulnerability management time and enhances system security.

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Auditive is a Third-Party Risk Management (TPRM) platform with continuous monitoring, empowering buyers and sellers to confidently engage with each other. It streamlines security reviews and reduces questionnaire burdens by 80%.

• Freemium
• From 800$

Proof & Trust is an AI-powered automated vendor risk assessment platform that simplifies and accelerates the assessment process, reducing it from weeks to just 30 minutes while eliminating the need for expensive cybersecurity consultants.

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DocuBark is an AI-powered platform designed to streamline Third-Party Risk Management (TPRM) by parsing vendor documents and automatically answering security questionnaires, significantly reducing vendor delays and manual effort.

• Paid
• From 625$

RiskRecon provides automated cybersecurity risk assessments and ratings for third-party vendors, supply chain monitoring, and enterprise risk management, helping organizations identify and mitigate cyber threats with AI-powered insights.

• Free Trial

RankedRight is an automated vulnerability management platform that prioritizes vulnerabilities using custom rules and live intelligence data. It helps security teams reduce manual effort and focus on critical risks.

• Freemium
• From 58$

Vigilocity offers the Mythic Offensive Impact Platform, utilizing AI/ML training data to track, monitor, and disrupt threat actors and confirm material breaches.

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VivoSecurity leverages AI-driven statistical models to forecast the probability and cost of data breaches, empowering organizations to improve cybersecurity strategies and comply with regulatory standards.

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